- 🎓 B.Com graduate with hands-on experience in Data Science, Machine Learning, and Deep Learning
- 🤖 Building projects involving ML, Deep Learning, RAG, and practical AI applications
- 🧠 Working with Python, Scikit-learn, TensorFlow, Pandas, NumPy, and SQL
- 🔎 Exploring RAG, LangChain, embeddings, and vector databases
- 📊 Hands-on experience with Data Analytics using Power BI, Excel, SQL, and Python
- ☁️ Familiar with Data Engineering technologies including Databricks, Snowflake, PySpark, ADLS Gen2, and ETL workflows
- 📍 Bhopal, India
- 💬 Open to Data Scientist, Machine Learning Engineer, and Junior Data Scientist opportunities
Languages & Querying
Machine Learning & Deep Learning
RAG & AI
Data Analytics & BI
Data Engineering & Platforms
Databases
| Project | Description | Stack |
|---|---|---|
| Customer Churn Analytics Platform | Customer segmentation, churn prediction, ML model comparison, Streamlit application, and Power BI dashboard | Python, Scikit-learn, SQL, Power BI, Streamlit |
| Databricks Medallion Architecture Project | End-to-end Bronze → Silver → Gold data pipeline using a medallion architecture | Databricks, PySpark, Delta Lake, ADLS Gen2 |
| Marriott Customer Churn Analysis | Snowflake-based data pipeline analyzing customer churn, CLV, and retention insights using a star schema | Snowflake, SQL, AWS S3 |
| Spotify Trends & Artist Performance Analysis | Interactive analysis of Spotify trends and artist performance | Power BI |
| TechVision Sales & Profit Analysis | Sales and profitability analysis with an interactive dashboard | Excel |
Building with data, machine learning, and AI — one project at a time. 🚀