I'm a Data Analyst / MIS Analyst / Data Scientist currently working as an IT Officer at HDFC Bank, with a strong foundation in data analytics, MIS reporting, and machine learning.
- 📊 I build MIS reporting systems and dashboards that cut manual reporting time by ~30% and report turnaround by 40%
- 🤖 I develop end-to-end ML pipelines for real-world prediction problems(churn, attrition, admissions)
- 📈 I work extensively with Power BI, DAX, and Advanced Excel (VBA, Macros) for business intelligence
- 🏦 I coordinate application deployments and operational reporting in a banking environment
- 🌱 Currently building an MIS Automation Dashboard combining Python, PostgreSQL, and Power BI
💼 Open To: Data Analyst Roles · MIS Analyst Roles · Data Scientist Roles · Business Intelligence Opportunities
Languages & Databases
ML & Data Science
BI & Visualization
MIS & Excel
Tools
| Domain | Highlights |
|---|---|
| MIS & Analytics | KPI/SLA tracking, variance analysis, ETL, data reconciliation, dashboard reporting |
| Machine Learning | Scikit-learn, XGBoost, TensorFlow, EDA, feature engineering, NLP |
| BI & Visualization | Power BI, DAX, Tableau, Matplotlib, Seaborn |
| Database | SQL, MySQL, ETL pipelines, data cleaning, statistical analysis |
| Other | Stakeholder management, A/B testing, hypothesis testing |
Mar 2026 — Present
- Coordinated end-to-end application deployment activities — release scheduling, system updates, and post-deployment verification — ensuring zero-downtime rollouts across production environments
- Designed and managed Excel-based tracking systems for deployment logs, issue registers, and operational status reports using Pivot Tables and formulas, reducing manual reporting time by ~30%
- Generated and optimized Excel reports for team and management visibility using filters, VLOOKUP, and INDEX MATCH, reducing report turnaround time by 40%
Excel VBA Pivot Tables MIS Reporting SQL Stakeholder Management
🔹 Customer Churn Prediction
End-to-end ML pipeline on 10,000+ records predicting customer churn.
| Attribute | Detail |
|---|---|
| Stack | Python, XGBoost, Scikit-learn, Pandas, Matplotlib |
| Performance | 87% accuracy, 0.91 AUC-ROC |
| Insights | Top churn drivers (contract type, tenure, charges) identified via feature importance |
Built with thorough data cleaning and ROC curve analysis to validate model performance.
🔹 HR Analytics Dashboard — Attrition Analysis — View Repo ↗
Multi-page Power BI dashboard tracking employee attrition.
| Attribute | Detail |
|---|---|
| Stack | Power BI, DAX, Excel |
| Scale | 15+ KPIs across 1,400+ employee records |
| Highlights | Custom DAX measures for attrition rate, tenure, and satisfaction scores |
Supports business intelligence decisions around workforce retention.
🔹 Nike Sales Analysis
12-month sales analysis across 8 states.
| Attribute | Detail |
|---|---|
| Stack | Advanced Excel, Pivot Tables, VLOOKUP, INDEX MATCH |
| Findings | Footwear = 42% revenue share |
| Impact | Data-driven strategy cut overstock by 18% |
Combined data cleaning with statistical analysis to shape inventory strategy.
🔹 MIS Automation Dashboard — View Repo ↗ — in progress
Automating the MIS report cycle end-to-end.
| Attribute | Detail |
|---|---|
| Stack | Python, PostgreSQL, Power BI |
| Focus | KPI tracking, SLA compliance, and TAT variance analysis |
Combines a Python/PostgreSQL data pipeline with a Power BI dashboard for stakeholder reporting.
🔹 AI Sentiment Analyzer — View Repo ↗
Full-stack NLP app that classifies text sentiment in real time using transformer models.
| Attribute | Detail |
|---|---|
| Stack | Python, FastAPI, React, Hugging Face Transformers |
| Focus | Real-time inference API paired with a React front end |
| Topics | NLP, sentiment analysis, AI |
🔹 Monocular Visual Odometry, Segmentation & Depth Fusion — View Repo ↗
Real-time 3D scene understanding system built from monocular video alone.
| Attribute | Detail |
|---|---|
| Stack | Python, Computer Vision |
| Focus | Fuses visual odometry, semantic segmentation, and depth estimation into a single scene-understanding pipeline |
🔹 Admission Prediction — View Repo ↗
Deep learning model predicting a student's chance of graduate admission from academic and profile features.
| Attribute | Detail |
|---|---|
| Stack | Python, TensorFlow, Keras, Pandas, NumPy, Scikit-learn, Matplotlib |
| Focus | Regression modeling on academic profile data |
🔹 Online Marketplace for Handcrafted Goods — View Repo ↗
A web application connecting artisans with buyers of handcrafted goods.
| Attribute | Detail |
|---|---|
| Type | Web Application |
🔹 Portfolio Website — View Repo ↗
Personal portfolio site showcasing projects and skills.
| Attribute | Detail |
|---|---|
| Stack | HTML |
Education
- BSc Information Technology — Viva College of Arts, Commerce & Science, Virar | CGPA: 7.47 | Jun 2022 – May 2025
- Data Analysis & Data Science with AI & ML — IT Vedant Institute
Certifications
English (Professional) · Hindi (Fluent) · Marathi (Native)
current_focus:
learning:
- Advanced SQL & data pipeline automation
- Deeper Power BI / DAX modeling
- NLP applications in analytics
building:
- MIS Automation Dashboard (Python + PostgreSQL + Power BI)
exploring:
- A/B testing & hypothesis-driven analytics
- Applied ML for business forecasting
open_to:
- Data Analyst roles
- MIS Analyst roles
- Data Scientist roles