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Your Name
PROFESSIONAL SUMMARY
Analytical and detail-oriented Data Professional with proven skills in exploratory data analysis (EDA), predictive machine learning modeling, and automated ETL data pipelines. Adept at translating complex datasets into actionable business intelligence using Python, SQL, and interactive dashboards.
TECHNICAL SKILLS
Languages: Python, SQL (PostgreSQL, MySQL), R
Data Science & ML: Pandas, NumPy, Scikit-Learn, XGBoost, Matplotlib, Seaborn
Data Engineering & ETL: DuckDB, Apache Airflow, REST APIs, JSON/Parquet
BI & Visualization: PowerBI, Tableau, Streamlit, Excel (Advanced VLOOKUP & Pivots)
Tools: Jupyter Notebooks, Git, Docker, Google Colab
PROJECTS
Automated Customer Churn Prediction & Retention Analytics Engine
View ATS- Built a churn classification pipeline on historical user records, evaluated with ROC-AUC on a held-out split.
- Built a feature engineering pipeline covering RFM, session frequency and ticket velocity.
- Served the model through a FastAPI inference endpoint so churn scores are available inside customer workflows.
- Built an executive PowerBI dashboard tracking monthly retention and revenue risk.
High-Volume E-Commerce ETL Pipeline & Sales Analytics Lake
View ATS- Built a daily ETL pipeline that lands CSV and JSON sales feeds as partitioned Parquet files.
- Built a Streamlit dashboard with cohort filters to surface inventory costs that were not being tracked.
EDUCATION
Core Coursework:
