About
Data Analyst & ML Engineer with a Master in Data Science & AI — skilled in Python, SQL, and end-to-end ML pipelines from feature engineering to Docker-deployed REST APIs. Delivered 4 production-quality projects achieving R² 0.91, 18% MAE reduction, and RMSE ₹142 — seeking a Data Analyst or ML Engineer role at a product-driven company where data and machine learning directly drive business decisions.
Skills & Expertise (39)
Work Experience
Data Science Intern
Yardgreen
Nov 2024 - Jul 2025
Built & deployed 3 ML models (Random Forest, XGBoost, LSTM) on live business datasets — achieving 85–91% accuracy across regression and classification tasks. Designed Power BI dashboards with DAX measures tracking 10+ KPIs; automated data refresh pipelines cutting manual reporting effort by 40%. Wrote advanced SQL using window functions (RANK, LAG, ROW_NUMBER) and CTEs — reduced average query runtime by 35% on 50,000+ row datasets. Delivered ARIMA time-series forecasts on financial data with 90-day projection horizon; validated with rolling-window backtesting and presented to non-technical stakeholders. Containerised ML inference using Docker + Flask REST API — moving model from notebook to live endpoint, demonstrating full deployment cycle.
Education
Master in Data Science & Analytics with Artificial Intelligence - DSDA Institute
2024 - 2025 · India
B.Sc. Physics, Chemistry & Mathematics - Kamala Nehru College, RTM Nagpur University
2019 - 2022 · India
Certifications
Data Science Integrated Internship Certificate
Yardgreen · 2025
DSDA Machine Learning & Artificial Intelligence
· 2025
Master in Data Science & AI
DSDA Institute · 2024
Power BI, Tableau & Advanced Excel
DSDA · 2024
SQL for Data Science & Python for Data Science
DSDA · 2024
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