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<!doctype html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<meta property="og:title" content="Arqam Usman Ali">
<meta property="og:image" content="https://drive.google.com/file/d/1vxGDgUzCh2c6_Ok4dP2OK1M3-vK_ENAA/view?usp=sharing">
<title>Arqam Usman Ali</title>
<!-- Favicon -->
<link rel="icon" href="images/WebsiteLogo.jpg" type="image/x-icon" />
<!-- Stylesheets -->
<link href="https://cdn.jsdelivr.net/npm/bootstrap@5.2.3/dist/css/bootstrap.min.css" rel="stylesheet" integrity="sha384-rbsA2VBKQhggwzxH7pPCaAqO46MgnOM80zW1RWuH61DGLwZJEdK2Kadq2F9CUG65" crossorigin="anonymous">
<link rel="stylesheet" href="style.css">
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<!-- Scripts -->
<script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.7.0/jquery.min.js"></script>
<script defer src = "transition.js"></script>
<script src="imageCarousel.js" defer></script>
<script src="https://smtpjs.com/v3/smtp.js"></script>
<script src="readMore.js"></script>
<script src="https://cdn.jsdelivr.net/npm/bootstrap@5.2.3/dist/js/bootstrap.bundle.min.js" integrity="sha384-kenU1KFdBIe4zVF0s0G1M5b4hcpxyD9F7jL+jjXkk+Q2h455rYXK/7HAuoJl+0I4" crossorigin="anonymous"></script>
</head>
<body>
<!-- Navigation Bar -->
<nav class="navbar navbar-expand-sm navbar-dark bg-dark fixed-top">
<div class="container-fluid">
<a class="navbar-brand" href="#">Arqam Usman Ali</a>
<button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbarSupportedContent" aria-controls="navbarSupportedContent" aria-expanded="false" aria-label="Toggle navigation">
<span class="navbar-toggler-icon"></span>
</button>
<div class="collapse navbar-collapse" id="navbarSupportedContent">
<ul class="navbar-nav me-auto mb-2 mb-lg-0">
<li class="nav-item">
<a class="nav-link active" aria-current="page" href="#aboutMe">About Me</a>
</li>
<li class="nav-item">
<a class="nav-link active" aria-current="page" href="#workexperience">Work Experience</a>
</li>
<li class="nav-item">
<a class="nav-link active" aria-current="page" href="#projects">Projects</a>
</li>
<li class="nav-item">
<a class="nav-link active" aria-current="page" href="#extracurriculars">Activities</a>
</li>
<li class="nav-item">
<a class="nav-link active" aria-current="page" href="#connect">Connect</a>
</li>
<li class="nav-item">
<a class="nav-link active" aria-current="page" href="#contact">Contact</a>
</li>
</ul>
<!-- Social Nav -->
<ul class="navbar-nav ml-auto">
<div class = "socialNav">
<a class = "navIcon" href="https://www.linkedin.com/in/arqam-usman-ali/" target= "_blank">
<i class="fab fa-linkedin"></i>
</a>
</div>
<div class = "socialNav">
<a class = "navIcon" href="https://github.com/aa358" target= "_blank">
<i class="fab fa-github"></i>
</a>
</div>
<a class="navbar-brand" href="#">arqamusman24@gmail.com</a>
</ul>
</div>
</div>
</nav>
<!-- Profile Pic -->
<div class = "circleImg">
<img src="images/Formal Picture.jpg" alt="Profile Picture">
</div>
<div class = "section" id="home">
<div id="intro">
<h1 class="title">Hello!</h1>
<div class="hiddenUp">
<p>
Hi, I'm Arqam Usman Ali — a Machine Learning Engineer and Web Developer with a passion for building intelligent, data-driven applications.
<br><br>
I recently graduated from NJIT and currently work as a Web Developer at Save Ancient Studies Alliance, while developing ML projects that span climate analytics, NLP, and predictive modeling.
<br><br>
Thanks for stopping by — I’m excited to share my work with you!
</p>
</div>
</div>
</div>
<!-- About Me -->
<div class="section" id="aboutMe">
<div class="aboutMe">
<h1 class="title"> About Me</h1>
<div class="hiddenUp">
<p>
I’m a recent graduate from the New Jersey Institute of Technology, where I earned my B.S. in Web and Information Systems as part of the Albert Dorman Honors College. Since graduating, I’ve begun my career as a Web Developer at the nonprofit Save Ancient Studies Alliance, where I design website UX/UI, manage data-driven content updates, and improve engagement through SEO and optimization strategies.
<br><br>
Alongside my web development work, I am actively transitioning into Machine Learning. I have hands-on experience building supervised and unsupervised ML models, neural networks, and NLP systems using Python, TensorFlow, scikit-learn, and SQL. My recent projects include climate event impact prediction, real estate price modeling, and a deployed email spam classifier.
<br><br>
Previously, I worked as a Software Developer intern at Instinet, where I built a centralized data analytics platform using Java, SQL, and React, improving business visibility and speeding up decision-making workflows. I also served as an Orientation Leader and Peer Mentor at NJIT, supporting over 1,600 incoming students and advising a cohort of 30+ first-year students.
<br><br>
These experiences strengthened my programming foundations, analytical thinking, and communication skills. I am currently seeking opportunities in Machine Learning & AI where I can apply my technical background, continue learning, and build impactful, data-driven solutions.
</p>
</div>
</div>
</div>
<!-- Work Experience -->
<div class="section" id="workexperience">
<div class="workexperience">
<h1 class="title">Work Experience</h1>
<div class="row">
<div class="col">
<div class="colImg">
<img src="images/SASA.jpg" alt="Save Ancient Studies Alliance" class="colImg"width="360" height="300">
</div>
</div>
<div class="col">
<div class="colDesc">
<h3 class="subTitle">Web Developer and Manager</h3>
<p>
<b>Save Ancient Studies Alliance</b>
<br>
<br>April 2025 - Present<br>
<br>
Served as a Web Developer & Manager at Save Ancient Studies Alliance.
<br>
<br>Key responsibilities include:
<br>
<ul>
<li>Redesigned the organization's website UX/UI to enhance user experience and visual consistency.</li>
<li>Managed regular website updates and collaborated with team members to publish new content.</li>
<li>Edited and optimized submitted content for clarity, readability, and alignment with brand standards.</li>
<li>Oversaw SEO implementation and drove design improvements to increase traffic and engagement.</li>
</ul>
<br>
Skills: Web Development, UX/UI Design, Content Management, SEO, Team Collaboration, Communication
</p>
</div>
</div>
</div>
<br> </br>
<div class = "divider"></div>
<div class="row">
<div class="col">
<div class="colImg">
<img src="images/InstinetLogo.png" alt="Instinet" class="colImg"width="560" height="300">
</div>
</div>
<div class="col">
<div class="colDesc">
<h3 class="subTitle">Software Developer Intern</h3>
<p>
<b>Instinet</b>
<br>New York City, NY</br>
<br>June 2023 - August 2023<br>
<br>
Designed and developed a centralized data analytics software for Midway, improving work visibility significantly.
<!--improving work visibility by 50%. -->
<br>
<br>Key contributions included:
<br>
<ul>
<li>Applying SQL queries within Java to analyze work metrics from the database.</li>
<li>Transforming and integrating data into the front-end using Nivo React for interactive charts.</li>
<li>Creating a user-friendly JavaScript interface for dynamic data visualization.</li>
<li>Contributing to historical workload tracking for informed business decisions by improving decision-making speed by 30%. </li>
</ul>
<br>
Skills: Java, SQL, JavaScript, Nivo React, Data Visualization
</p>
</div>
</div>
</div>
<br> </br>
<div class = "divider"></div>
<div class="row">
<div class="col">
<div class="colImg">
<img src="images/LCLogo.png" alt="Instinet" class="colImg"width="360" height="300">
</div>
</div>
<div class="col">
<div class="colDesc">
<h3 class="subTitle">Peer Mentor</h3>
<p>
<b>Learning Communities</b>
<br>New Jersey Institute of Technology (NJIT)</br>
Newark, NJ
<br>
<br>August 2022 - December 2024<br>
<br>
Served as a Peer Advisor and Teaching Assistant for a class of 30 first-year students.
<br>
<br>Key responsibilities included:
<br>
<ul>
<li>Assisting first-year students in navigating their first year of college.</li>
<li>Providing academic and personal support to foster a smooth transition to college life.</li>
</ul>
<br>
Skills: Mentorship, Leadership, Academic Support, Communication
</p>
</div>
</div>
</div>
<br> </br>
<div class = "divider"></div>
<div class="row">
<div class="col">
<div class="colImg">
<img src="images/NSOLogo.png" alt="Instinet" class="colImg"width="360" height="300">
</div>
</div>
<div class="col">
<div class="colDesc">
<h3 class="subTitle">Orientation Leader</h3>
<p>
<b>New Student Orientation</b>
<br>New Jersey Institute of Technology (NJIT)</br>
Newark, NJ
<br>
<br>June 2021 - May 2022<br>
<br>
Acted as a Mentor and Support Network to a cohort of over 1,600 first-year students.
<br>
<br>Key responsibilities included:
<br>
<ul>
<li>Facilitating the smooth transition of new students from their previous environment to NJIT.</li>
<li>Serving as a resource and providing guidance to ensure student success and acclimation.</li>
</ul>
<br>
Skills: Mentorship, Communication, Leadership, Event Facilitation
</p>
</div>
</div>
</div>
</div>
</div>
<!-- Projects -->
<div class = "section" id="projects">
<div class = "projects">
<h1 class = "title">Projects</h1>
<div class="row">
<div class="col">
<div class="colImg">
<img src="images/ClimateEvents.jpg" alt="ClimateEventPredictor" class="colImg">
</div>
<div class="colImg">
<img src="images/ClimateEvents2.png" alt="ClimateEventPredictor" class="colImg" width="360" height="300">
</div>
<div class="colImg">
<img src="images/ClimateEvents1.png" alt="ClimateEventPredictor" class="colImg" width="360" height="300">
</div>
</div>
<div class="col">
<div class="colDesc">
<h3 class="subTitle">Climate Event Predictor</h3>
<br>
A machine learning project that analyzes global disaster data to predict both
climate event <b>severity</b> and <b>economic impact</b>. This project demonstrates
a complete ML pipeline — including EDA, feature engineering, outlier treatment,
classification, regression modeling, and performance interpretation.
<br><br>
The dataset includes worldwide climate events with attributes such as
<i>event_type</i>, <i>country</i>, <i>duration</i>, <i>fatalities</i>,
<i>injuries</i>, <i>infrastructure_damage</i>, <i>economic_loss</i>, and more.
Over <b>15 engineered features</b> including <i>casualty_rate</i>,
<i>damage_per_day</i>, <i>severity×duration</i>, and <i>population_density_proxy</i>
significantly strengthened model performance.
<br><br>
<b>Key Insights:</b><br>
- Severity prediction is highly accurate (Random Forest: <b>90.33%</b>)<br>
- Economic loss data contained extreme outliers (up to $700M)<br>
- Capping outliers at the 99.5th percentile improved R² from
<i>0.0864 → 0.7960</i><br>
- Final Gradient Boosting model explains ~<b>80%</b> of economic variance<br>
<br>
<b>Final Model Results:</b><br>
- Severity Classification Accuracy: <b>90.33%</b><br>
- Economic Impact Regression R²: <b>0.796</b><br>
<br>
Skills: Python, Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn,
Random Forest, Gradient Boosting, Outlier Treatment, Classification & Regression Modeling
</p>
<div id="projectLink">
<a class="link" href="https://github.com/aa358/ClimateEventPredictor---ML-Modeling-for-Global-Disaster-Analysis" target="_blank">
<i class="fab fa-github"> </i>Github
</a>
</div>
</div>
</div>
</div>
<br>
<div class = "hiddenLeft">
<div class = "divider"></div>
<div class = "row">
<div class = "col">
<div class = "colImg">
<img src="images/HousePrice.jpg" alt="HousePricePrediction" class="colImg">
</div>
<div class = "colImg">
<img src="images/House1.png" alt="HousePricePrediction" class="colImg"width="360"height="300">
</div>
<div class = "colImg">
<img src="images/House2.png" alt="HousePricePrediction" class="colImg"width="360"height="300">
</div>
</div>
<div class = "col">
<div class = "colDesc">
<h3 class="subTitle">House Price Predictor</h3>
<br>
A machine learning project that predicts house prices using Linear Regression with features such as square footage, number of rooms, location, and house quality. This project showcases an end-to-end ML workflow—covering data cleaning, feature engineering, modeling, evaluation, and interpretation.
<br> </br>
The model was trained on a housing dataset containing attributes like <i>sqft_living</i>, <i>sqft_basement</i>, <i>bedrooms</i>, <i>bathrooms</i>, <i>grade</i>, <i>view</i>, <i>zipcode</i>, and more. Engineering new features such as <i>price_per_sqft</i>, <i>house_age</i>, <i>total_sqft</i>, and <i>total_bathrooms</i> significantly improved performance.
<br> </br>
<b>Final Model Results:</b>
<br> </br>
- MAE = $52,251 <br>
- RMSE = $80,107 <br>
- R² = 0.91 <br>
<br>
Cross-validation showed stable performance with an average R² of 0.91. Visualizations like correlation heatmaps, scatterplots, boxplots, and residual plots were used for deeper insights.
<br> </br>
Skills: Python, Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, Feature Engineering, Linear Regression, Cross-Validation
</p>
<div id="projectLink">
<a class="link" href="https://github.com/aa358/house_price_predictor" target="_blank">
<i class="fab fa-github"> </i>Github
</a>
</div>
</div>
</div>
</div>
<br> </br>
<div class = "hiddenLeft">
<div class = "divider"></div>
<div class="row">
<div class="col">
<div class="colImg">
<img src="images/SpamClassifier.jpg" alt="EmailSpamClassifier" class="colImg">
</div>
<div class="colImg">
<img src="images/Spam1.png" alt="ConfusionMatrix" class="colImg" width="500" height="250">
</div>
<div class="colImg">
<img src="images/Spam2.png" alt="TFIDFVisualization" class="colImg" width="500" height="250">
</div>
</div>
<div class="col">
<div class="colDesc">
<h3 class="subTitle">Email Spam Classifier</h3>
<br>
A natural language processing (NLP) project that classifies emails as <b>Spam</b> or <b>Not Spam</b> using TF-IDF vectorization and Logistic Regression. The model is deployed on Streamlit, enabling real-time prediction based on user-entered email content.
<br></br>
The dataset used for training was a cleaned and merged version of the <i>Complete SpamAssassin Corpus</i>, containing thousands of real-world emails.
The model leverages <i>text preprocessing</i>, <i>n-gram feature extraction</i>, and a <i>pipeline-based architecture</i> to ensure efficiency and reproducibility.
<br></br>
<b>Model Pipeline:</b>
<br></br>
- TF-IDF Vectorizer (1–2 grams, 8,000 features) <br>
- Logistic Regression (max_iter = 1000) <br>
<br>
<b>Model Performance:</b>
<br></br>
- Accuracy = 95.3% <br>
- Precision = 0.899 <br>
- Recall = 0.958 <br>
- F1 Score = 0.927 <br>
<br>
Confusion matrix showed <b>strong recall</b>, indicating that the model catches most spam emails while keeping false negatives low.
<br></br>
Skills: Python, Pandas, Scikit-learn, NLP, TF-IDF, Logistic Regression, Confusion Matrix Analysis, Streamlit Deployment
</p>
<div id="projectLink">
<a class="link" href="https://github.com/aa358/spam-classifer-app" target="_blank">
<i class="fab fa-github"> </i>Github
</a>
<a class="link" href="https://aa358-email-spam-classifier.streamlit.app/" target="_blank">
Live App
</a>
</div>
</div>
</div>
</div>
<br>
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<img src="images/StudentPredictor.jpg" alt="AcademicPerformanceRegressionModel" class="colImg">
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<div class="colImg">
<img src="images/Student1.png" alt="AcademicPerformanceRegressionModel" class="colImg"width="250"height="200">
<img src="images/Student2.png" alt="AcademicPerformanceRegressionModel" class="colImg"width="250"height="200">
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<br>
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<div class="colImg">
<img src="images/Student3.png" alt="AcademicPerformanceRegressionModel" class="colImg"width="250"height="200">
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</div>
<div class="col">
<div class="colDesc">
<h3 class="subTitle">Academic Performance Regression Model</h3>
<p>
<br>
A Machine Learning project focused on predicting students’ final exam scores using the UCI Student Performance Dataset.
This regression model estimates a student's final grade (G3) by analyzing factors such as study habits, alcohol consumption, support systems, absences, and their previous academic performance.
<br> </br>
The workflow involved:
<br> </br>
<b>• Data Preparation:</b> Cleaning the dataset, engineering features (like <i>avg_previous_grade</i> and <i>weekend alcohol consumption</i>),
handling categorical variables through one-hot encoding, and scaling numerical features for consistent model performance.
<br> </br>
<b>• Modeling:</b> Implemented and compared multiple regression models including:
<br>
- Linear Regression (baseline model) <br>
- Polynomial Regression (degree 2)
<br> </br>
<b>• Evaluation:</b> Assessed performance using MAE, RMSE, and R² scores. Visual insights included correlation heatmaps, predicted vs. actual plots, and residual diagnostics to evaluate model fit.
<br> </br>
<b>Results:</b>
<br>
- Baseline R²: 0.752 <br>
- Polynomial R²: 0.757 <br>
- Average prediction error: ~1.6 grade points <br>
<br>
The strongest predictor was a student’s prior grades, while behavioral factors (study time, absences, alcohol use) showed weaker but meaningful influence.
<br> </br>
This project demonstrates practical educational analytics, showing how ML can help identify patterns in academic performance and support student-success strategies.
<br> </br>
Skills: Python, Pandas, NumPy, Scikit-learn, Regression Modeling, Data Visualization, Feature Engineering
</p>
<div id="projectLink">
<a class="link" href="https://github.com/aa358/student_performance_predictor" target="_blank">
<i class="fab fa-github"> </i>Github
</a>
</div>
</div>
</div>
</div>
</div>
<br>
<div class = "hiddenLeft">
<div class = "divider"></div>
<div class = "row">
<div class = "col">
<div class = "colImg">
<img src="images/PymolCopilot.jpeg" alt = "PymolCopilot" class = "colImg">
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</div>
<div class = "col">
<div class = "colDesc">
<h3 class="subTitle">Pymol Copilot</h3>
<p>
Created by Arqam Usman Ali, Abdul Lateef FNU, Saipranith Oku, and Sriram Koyalkar
<br> </br>
<b>-- NJIT YWCC Spring 2024 Capstone 3rd Place Panel Winner -- </b>
<br> </br>
For my senior capstone project at the New Jersey Institute of Technology (NJIT), I led a team of four to develop an AI Copilot for PyMOL, a drug visualization software widely used in biology labs.
The project was inspired by my roommate, who worked in NJIT’s biology lab and faced challenges mastering PyMOL’s complex interface, which typically required 4–6 weeks of training for new hires.
<br></br>
To address this issue, we envisioned a solution leveraging GPT-4's API to simplify workflows and reduce the learning curve.
By enabling users to interact with PyMOL through natural language commands, the AI Copilot translated user input into backend functions, making the software more accessible and significantly enhancing its usability.
The final product streamlined molecule visualization, accelerating viewing processes by 6 times and property analysis by 2 times, as reported by researchers.
<br></br>
In my role as project manager and backend developer, I guided the team through four months of development, organizing sprints, conducting daily scrum meetings, and ensuring timely progress.
I also played a key role in implementing the backend by training GPT-4’s API in Python to map natural language inputs to PyMOL's plugin library functions.
While a teammate focused on creating a user-friendly chat interface with PyQt, I collaborated closely with the backend team to ensure seamless integration and functionality.
Our project’s success was highlighted by earning third place at the Capstone Showcase, underscoring the innovation and impact of our work.
<br></br>
Skills: Python, GPT-4 API, PyMOL, PyQt
</p>
</div>
<div id="projectLink">
<a class="link" href="https://github.com/abdullateefv/PyMolCopilot" target="_blank">
<i class="fab fa-github"> </i>Github
</a>
</div>
</div>
</div>
</div>
<br>
<div class = "hiddenLeft">
<div class = "divider"></div>
<div class = "row">
<div class = "col">
<div class = "colImg">
<img src="images/TicTacToe.png" alt = "TicTacToe" class = "colImg">
</div>
</div>
<div class = "col">
<div class = "colDesc">
<h3 class="subTitle">Tic-Tac-Toe</h3>
<p>
Created by Arqam Usman Ali
<br> </br>
A browser-based Tic Tac Toe game designed for interactive play between two users. This project implements the classic game using HTML, CSS, and JavaScript, allowing players to take turns clicking on cells to place Xs and Os. The game dynamically detects wins, draws, and provides a responsive interface for smooth gameplay.
<br> </br>
The application leverages DOM manipulation to update the game board in real-time, ensuring an engaging user experience. With built-in logic to check for winning conditions and game resets, players can enjoy multiple rounds without refreshing the page.
<br> </br>
Skills: HTML, CSS, JavaScript, DOM Manipulation, Problem Solving, Debugging
</p>
<div id="projectLink">
<a class="link" href="https://github.com/aa358/Tic-Tac-Toe" target="_blank">
<i class="fab fa-github"> </i>Github
</a>
<a class="link" href="https://aa358.github.io/Tic-Tac-Toe/" target="_blank">
Live App
</a>
</div>
</div>
</div>
</div>
</div>
<br>
<div class = "hiddenLeft">
<div class = "divider"></div>
<div class = "row">
<div class = "col">
<div class = "colImg">
<img src="images/BookEngine.jpg" alt = "BookRecommendationEngine" class = "colImg">
</div>
</div>
<div class = "col">
<div class = "colDesc">
<h3 class="subTitle">Book Recommendation Engine</h3>
<p>
Created by Arqam Usman Ali
<br> </br>
A web-based Book Recommendation Engine designed to help users discover their next favorite book effortlessly. This application suggests books based on genre, allowing users to explore top-rated titles or the latest releases.
<br> </br>
Users can enter a book title, and the engine fetches recommendations, sorted by rating or publication year for a personalized reading experience. The intuitive interface ensures seamless navigation and a visually appealing layout.
<br> </br>
Skills: JavaScript, HTML, CSS, JSON Handling, Data Processing
</p>
<div id="projectLink">
<a class="link" href="https://github.com/aa358/Book-Recommendation-Engine" target="_blank">
<i class="fab fa-github"> </i>Github
</a>
<a class="link" href="https://aa358.github.io/Book-Recommendation-Engine/" target="_blank">
Live App
</a>
</div>
</div>
</div>
</div>
</div>
<br>
<div class = "hiddenLeft">
<div class = "divider"></div>
<div class = "row">
<div class = "col">
<div class = "colImg">
<img src="images/HPQuiz.jpg" alt = "Harry Potter Quiz" class = "colImg">
</div>
</div>
<div class = "col">
<div class = "colDesc">
<h3 class="subTitle">Harry Potter Quiz</h3>
<p>
Created by Arqam Usman Ali
<br> </br>
An interactive web-based quiz designed for Harry Potter fans to test their wizarding knowledge. This project presents a dynamic quiz with multiple-choice questions, providing instant feedback based on the user's score.
<br> </br>
Players can answer 10 magical questions and receive personalized results, ranging from Muggle status to potential Hogwarts valedictorian. The quiz features an enchanting Harry Potter-themed UI, bringing the magic of the wizarding world to life.
<br> </br>
Skills: JavaScript, DOM Manipulation, Event Handling, JSON Data Fetching, HTML, CSS
</p>
<div id="projectLink">
<a class="link" href="https://github.com/aa358/Harry-Potter-Quiz" target="_blank">
<i class="fab fa-github"> </i>Github
</a>
<a class="link" href="https://aa358.github.io/Harry-Potter-Quiz/" target="_blank">
Live App
</a>
</div>
</div>
</div>
</div>
<br>
<div class = "hiddenLeft">
<div class = "divider"></div>
<div class = "row">
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<div class = "colImg">
<img src="images/ChooseAdventure.jpg" alt = "Choose Your Own Adventure" class = "colImg">
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</div>
<div class = "col">
<div class = "colDesc">
<h3 class="subTitle">Choose Your Own Adventure Game</h3>
<p>
Created by Arqam Usman Ali
<br> </br>
An interactive text-based adventure game where players navigate through a branching storyline by making choices that lead to different outcomes, including victory, survival, or loss. This project dynamically updates text, images, and buttons based on player decisions, creating an engaging and immersive experience.
<br> </br>
The game features multiple story paths, allowing players to explore different narratives based on their choices.
<br> </br>
Built with JavaScript, HTML, and CSS, this project demonstrates the power of dynamic storytelling and user interaction without the need for complex frameworks.
<br> </br>
Skills: JavaScript, HTML, CSS, Game Development, Interactive UI
</p>
<div id="projectLink">
<a class="link" href="https://github.com/aa358/Choose-Your-Adventure-Game" target="_blank">
<i class="fab fa-github"> </i>Github
</a>
<a class="link" href="https://aa358.github.io/Choose-Your-Adventure-Game/" target="_blank">
Live App
</a>
</div>
</div>
</div>
</div>
</div>
<br>
<div class = "hiddenLeft">
<div class = "divider"></div>
<div class = "row">
<div class = "col">
<div class = "colImg">
<img src="images/DiscordAutomation.png" alt = "DiscordAutomation" class = "colImg">
</div>
</div>
<div class = "col">
<div class = "colDesc">
<h3 class="subTitle">Discord Message Automation</h3>
<p>
Created by Arqam Usman Ali
<br> </br>
A software development project that automates the process of sending random messages to a Discord channel. The project integrates the Discord API, utilizes Python libraries like `Faker` to generate realistic random content, and implements automated testing with `pytest`.
The solution includes a structured directory setup with folders for the main application logic (`discordmsg`) and automated testing (`tests`). Key features include dynamically generated payloads, API integration, and robust testing to validate functionality.
<br> </br>
Whether you're looking to automate tasks in Discord or learn how to work with APIs and Python testing frameworks, this project offers a practical, hands-on experience. Dive into the code to explore a real-world example of API usage, random data generation, and test-driven development!
<br> </br>
Skills: Python, Discord API, Faker, Pytest, Dotenv, Requests
</p>
</div>
<div id="projectLink">
<a class="link" href="https://github.com/aa358/sending_discord_msgs" target="_blank">
<i class="fab fa-github"> </i>Github
</a>
</div>
</div>
</div>
</div>
<br>
<div class = "hiddenLeft">
<div class = "divider"></div>
<div class = "row">
<div class = "col">
<div class = "colImg">
<img src="images/TaskTracker.png" alt = "TaskTrackr" class = "colImg">
</div>
</div>
<div class = "col">
<div class = "colDesc">
<h3 class="subTitle">Task Trackr</h3>
<p>
Created by Arqam Usman Ali
<br> </br>
A mobile-responsive web application designed to help users manage and track tasks with ease. This project implements a task tracker using CRUD operations, allowing users to add, complete, and delete tasks. Built with Next.js, it features an intuitive interface that updates dynamically without requiring page reloads.
<br> </br>
Users can interact with the task list by clicking on tasks to mark them as completed and remove tasks they no longer need. The mobile-responsive design ensures a seamless experience across devices.
<br> </br>
Ideal for anyone looking to learn about building interactive web applications with Next.js, this task tracker application offers a hands-on experience in task management, React, and web design.
<br> </br>
Skills: Next.js, React, JavaScript, Tailwind CSS
</p>
<div id="projectLink">
<a class="link" href="https://github.com/aa358/tasktrackr" target="_blank">
<i class="fab fa-github"> </i>Github
</a>
<a class="link" href="https://tasktrackr-six.vercel.app/" target="_blank">
Live App
</a>
</div>
</div>
</div>
</div>
</div>
<br>
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<div class = "divider"></div>
<div class = "row">
<div class = "col">
<div class = "colImg">
<img src="images/Calculator.png" alt = "Calculator" class = "colImg">
</div>
</div>
<div class = "col">
<div class = "colDesc">
<h3 class="subTitle">Calculator Website</h3>
<p>
Created by Arqam Usman Ali
<br> </br>
A fully functional calculator website developed using HTML and CSS, designed to perform all basic arithmetic operations such as addition, subtraction, multiplication, and division. The project incorporates flash message validation to ensure user-friendly error handling, providing alerts for empty input fields and checks for division by zero.
<br> </br>
Built and tested on PyCharm, the application ensures reliability and correctness by utilizing Pylint for static code analysis. Additionally, continuous integration testing was implemented using Travis CI to maintain code quality and streamline the development process.
<br> </br>
This project highlights the application of fundamental web development techniques combined with robust testing methodologies, ensuring a seamless user experience and reliable performance.
<br> </br>
Skills: HTML, CSS, PyCharm, Pylint, Travis CI, Frontend Validation
</p>
<div id="projectLink">
<a class="link" href="https://github.com/aa358/Calc3" target="_blank">
<i class="fab fa-github"> </i>Github
</a>
<br></br>
<a class="link" href="https://youtu.be/PQfbZwNS8ic" target="_blank">
Video Demonstration
</a>
</div>
</div>
</div>
</div>
</div>
<br>
<div class = "hiddenLeft">
<div class = "divider"></div>
<div class = "row">
<div class = "col">
<div class = "colImg">
<img src="images/WeightConvertor.png" alt = "WeightConverter" class = "colImg">
</div>
</div>
<div class = "col">
<div class = "colDesc">
<h3 class="subTitle">Weight Converter</h3>
<p>
Created by Arqam Usman Ali
<br> </br>
A responsive weight converter application designed using JavaScript and Bootstrap. This project allows users to convert weight from pounds to grams, kilograms, and ounces instantly. With its intuitive interface and real-time conversion functionality, the application demonstrates practical use of JavaScript event handling and Bootstrap's styling capabilities.
<br> </br>
This project is ideal for showcasing proficiency in building practical web tools that integrate modern design principles and client-side scripting.
<br> </br>
Skills: JavaScript, Bootstrap, DOM Manipulation, Responsive Design
</p>
<div id="projectLink">
<a class="link" href="https://github.com/aa358/WeightConverter" target="_blank">
<i class="fab fa-github"> </i>Github
</a>
<br></br>
<a class="link" href="https://www.youtube.com/watch?v=bYP8sp16NpI" target="_blank">
Video Demonstration
</a>
</div>
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<img src="images/SentimentAnalyzer.png" alt = "SentimentAnalyzer" class = "colImg">
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</div>
<div class = "col">
<div class = "colDesc">
<h3 class="subTitle">Lexicon-Based Sentiment Analyzer</h3>
<p>
Created by Arqam Usman Ali
<br> </br>
This project involved developing a sentiment analysis tool in R using the AFINN lexicon, designed to analyze textual data with precise negation handling for enhanced accuracy.
The tool processed large datasets to measure sentiment proportions, such as positive, negative, and neutral expressions, while providing insights into emotional trends, user feedback, and overall sentiment tone.
By visualizing sentiment distributions, the analyzer revealed patterns in textual data, enabling strategic decision-making and targeted improvements to enhance user engagement and understanding.
<br> </br>
Skills: R, Sentiment Analysis, Data Visualization
</p>
</div>
<div id="projectLink">
<a class="link" href="https://github.com/aa358/sentiment_analyzer/tree/Lexicon-based-sentiment-analyzer" target="_blank">
<i class="fab fa-github"> </i>Github
</a>
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<img src="images/JavaScriptSlideshow.png" alt = "JavaScriptSlideshow" class = "colImg">
</div>
</div>
<div class = "col">
<div class = "colDesc">
<h3 class="subTitle">JavaScript Slideshow</h3>
<p>
Created by Arqam Usman Ali
<br> </br>
A dynamic JavaScript slideshow designed to display a series of images seamlessly. This project leverages core JavaScript functionality to create a smooth and automated image transition effect. The slideshow cycles through an array of images at a predefined interval, offering a visually engaging experience for users.
<br> </br>
The slideshow features a lightweight implementation with a responsive image display. It is initiated with a simple `onload` event and uses JavaScript's `setTimeout` function to transition images. This project demonstrates foundational JavaScript skills and showcases the ability to implement interactive and engaging web components.
<br> </br>
Perfect for learning how to manipulate the DOM and work with JavaScript arrays, this project is an excellent example of creating interactive web elements without relying on external libraries.
<br> </br>
Skills: JavaScript, HTML, DOM Manipulation, Responsive Design
</p>
<div id="projectLink">
<br></br>
<a class="link" href="https://github.com/aa358/JavaScript-Slideshow" target="_blank">
<i class="fab fa-github"> </i>Github
</a>
<a class="link" href="https://www.youtube.com/watch?v=KCAsagqRFfI" target="_blank">
Video Demonstration
</a>
</div>
</div>
</div>
</div>
</div>
<br>
<div class = "hiddenLeft">
<div class = "divider"></div>
<div class = "row">
<div class = "col">
<div class = "colImg">
<img src="images/ProductCard.png" alt = "ProductCard" class = "colImg">
</div>
</div>
<div class = "col">
<div class = "colDesc">
<h3 class="subTitle">Product Card UI Design</h3>
<p>
Created by Arqam Usman Ali
<br> </br>
A sleek and modern product card designed to showcase UI design skills using HTML and CSS. This project features a responsive product card with interactive elements such as size and color selectors, product ratings, and pricing details. The design highlights attention to detail with clean typography, engaging visuals, and smooth layout organization.
<br> </br>
This project is perfect for demonstrating proficiency in front-end development and an eye for design, offering a practical example of how to build engaging user interfaces.
<br> </br>
Skills: HTML, CSS, Font Awesome, Responsive Design
</p>
<div id="projectLink">
<br></br>
<a class="link" href="https://github.com/aa358/UI-Card" target="_blank">
<i class="fab fa-github"> </i>Github
</a>
<br></br>
<a class="link" href="https://youtu.be/5_l26IkKLBg" target="_blank">
Video Demonstration
</a>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
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<h1 class = "title">Activities</h1>
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<img src="images/SFHR.png" alt = "StudentsforHungerRelief" class = "colImg2">
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<div class = "col">
<div class = "colDesc">
<h3 class="subTitle"> NJIT Students for Hunger Relief</h3>
<div class="colDescReadMore">
<p>
Students for Hunger Relief (SFHR) is a student-run organization at NJIT dedicated to addressing hunger in Newark through large-scale, on-campus initiatives. SFHR collaborates with charitable organizations to acquire food and organizes meal packaging events where hundreds of meals are prepared by volunteers. These meals are then distributed to shelters and locations in Newark such as Penn Station, Lincoln Park, and Covenant House, helping to connect NJIT students with the local community.
</p>
<p>
I was an Volunteer Coordinator for Students for Hunger Relief from 2022 to 2024. During this time, I helped organize and manage 15 meal packaging events, resulting in over 1,800 meals being distributed to homeless shelters in Newark.
</p>
<div class="readMore">
<span>
<p>
My responsibilities included coordinating logistics, managing volunteers, and ensuring smooth operations during the events. The meals packaged ranged from rice and chicken to beef chili and salads, all sourced from 501(c)(3) accredited organizations.
</p>
</span>
</div>
<p class="readMoreBtn">Read More...</p>
</div>
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<div class="img"><img src="images/SFHR1.jpg" alt="img" draggable="false"></div>
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</div>
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</div>
<br></br>
</div>
<!-- Connect -->
<div class = "section" id="connect">
<div class = "connnect">
<h1 class = "title" id = "connectTitle">Connect with Me!</h1>
<div class = "hiddenUp">
<div id = "connectLinks" class = "connectLinksContainer">
<a class="link" href="https://www.linkedin.com/in/arqam-usman-ali/" target="_blank">
<i class="fab fa-linkedin"> </i>Linkedin
</a>
<a class="link" href="https://njit.joinhandshake.com/stu/users/30077201" target="_blank">
<i class="far fa-handshake"> </i>Handshake
</a>
<a class="link" href="https://github.com/aa358" target="_blank">
<i class="fab fa-github"> </i>Github
</a>
</div>
<h3 class = "subTitleCentered">arqamusman24@gmail.com</h1>
</div>
</div>
</div>
<!-- Contact -->
<div class = "section" id="contact">
<h1 class = "title" id = "contact">Contact</h1>
<div class= "contact">
<div class = "hiddenUp">
<form action="https://formspree.io/f/mjkklqba" method="POST">
<h3> Feel free to contact me!</h3>
<input type="text" name="First Name" placeholder=" First Name" autocomplete="false" required>
<input type="text" name="Last Name" placeholder=" Last Name" autocomplete="false" required>
<input type="email" name="Email" placeholder=" Email" autocomplete="false" required>
<textarea name="Message" rows="4" cols="60" placeholder=" Your Message" autocomplete="false"></textarea>
<button type ="submit">Send Message!</button>
</form>
</div>
</div>
</div>
</body>
</html>