Data Analyst · Aspiring Data Scientist · AI/ML Enthusiast
Turning raw data into clear insights, useful dashboards and practical AI tools.
- 🎓 MCA student at IIIT Bhopal, with a CGPA of 9.55.
- 📊 My focus is data analytics, business intelligence and applied machine learning.
- 🛠️ I work with SQL, Python, Power BI and Excel, from data cleaning and modelling to dashboards and insights.
- 🤖 I build AI-powered applications that make data easier to explore and understand.
- 🤝 Teaching Assistant experience and Smart India Hackathon 2024 & 2025 participation.
- 💼 Open to Data Analyst / BI Analyst opportunities, data science roles and analytics collaborations.
Data analysis & databases
Business intelligence & visualisation
Machine learning & AI applications
Supporting development tools
Ask questions in plain English and explore a 99K-order PostgreSQL warehouse through live data, charts and insights.
- Converts questions into validated SQL with destructive-query blocking and query timeouts.
- Includes Gemini-to-Groq fallback and 24 automated tests.
- Tools: Python, PostgreSQL, Streamlit, Gemini, Groq, Plotly.
An end-to-end analytics project using the Olist Brazilian e-commerce dataset, SQL modelling and Power BI reporting.
- Transformed 9 raw datasets across ~99K orders into a star schema with 4 dimensions and 4 fact tables.
- Reconciled R$15.84M in order value and investigated a R$165K payment gap.
- Built a 3-page Power BI dashboard covering sales, products, delivery and customer experience.
- Tools: PostgreSQL, Power BI, DAX, Excel.
Repository · Dashboard walkthrough
A customer analytics and machine-learning workflow built on a 2,000-customer synthetic dataset.
- Combines data cleaning, exploratory analysis, feature engineering and customer segmentation.
- Trained Logistic Regression and Random Forest models with leakage-safe train/validation/test evaluation.
- Improved recall from 35% to 61%, reaching ~92% after threshold tuning; this metric measures churn detection, not overall accuracy.
- Tools: Python, Pandas, NumPy, SQLite, Scikit-learn, Matplotlib.
| Project | What it does | Tools |
|---|---|---|
| PulseBoard | Interactive analytics dashboard for 50K–250K synthetic transactions, with filtering and virtualized tables. | React, TypeScript, Recharts |
| RecallAI | Turns study notes into validated flashcards and quizzes, with safeguards for malformed AI responses. | React, TypeScript, Express, Zod, Groq |
| Spice Garden | Restaurant client project covering billing, real-time orders and payment analytics. | React, Node.js, PostgreSQL, Socket.io |
Interested in data analytics, dashboards or applied AI? I'd be happy to discuss opportunities and collaborate on useful projects.