I am a passionate Data Scientist and Front End Developer with a background in Chemical Engineering. I love leveraging data-driven insights to solve complex problems and creating user-friendly applications. With a solid foundation in engineering principles and a keen interest in technology, I strive to continuously learn and grow in my field.

• Machine Learning: Python (Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn), TensorFlow, PyTorch, OpenAI API, LangChain
• Databases: PostgreSQL, MySQL, SQLite, and Firebase (Cloud Messaging, Realtime DB, Firestore, Auth)
• Cloud & DevOps: AWS (S3, EC2, Lambda, RDS), GitHub Actions (CI/CD), Microsoft Azure, Docker, Nginx
• Full Stack Development: Python, Django, FastAPI, Django REST Framework, RESTful APIs, JWT Authentication, MVC/MVT Architecture, GitHub Pages, ReactJS, Bootstrap, TailwindCSS
• Software Engineering Concepts: Object-Oriented Programming, Version Control, Agile Methodology, Debugging, Unit Testing

Aug 2025 - Present

• Designing and implementing automated data preprocessing and cleaning pipelines to ensure high-quality training datasets.
• Assisting in the development, implementation, and fine-tuning of machine learning models using TensorFlow and PyTorch.
• Supporting the integration of AI solutions into production environments and monitoring model performance metrics.

Oct 2024 - Nov 2024

• Developed Python-based automation scripts using Selenium to extract competitor pricing data.
• Configured headless browser execution and smart delays to bypass bot detection and ensure consistent performance.

May 2024 - Jun 2024

• Applied Scikit-learn and Pandas to build Machine Learning models and deployed using FastAPI.
• Performed preprocessing, feature engineering, model selection, and hyperparameter tuning to optimize models.

July 2023 - Aug 2023

• Deployed the backend on EC2 instances with API Gateway integration and DynamoDB as the data store, supporting scalable and low-latency data access.
• Gained hands-on experience with CI/CD pipelines, version control, and secure API authentication using IAM.

• Developed a full-stack vocabulary learning platform with Django and ReactJS with secure user login and dynamic quizzes.
• Implemented CI/CD using GitHub Actions to deploy the backend and frontend to GitHub Pages after each push.

• Developed a deep learning model using BERT for SMILES encoding to predict chemical reaction yields with high accuracy.
• Trained models on Buchwald-Hartwig and Suzuki-Miyaura datasets, achieving R² of 0.9485 and 0.8310 respectively.

• Qualified GATE Computer Science 2025 (AIR 6655) and GATE Data Science & AI 2025 (AIR 2244).
• Won NIT Trichy's ASTERLAYSE Hackathon by developing and comparing ML models for asteroid data analysis.
• Solved 350+ DSA questions on LeetCode, CodeChef, and other platforms.

• B.Tech — Bundelkhand Institute of Engineering & Technology, Jhansi (2020-2024)
• Certifications: Machine Learning Specialization and Advanced Algorithms (Coursera by Stanford University & DeepLearning.AI)