π M.Sc. Data Science & Big Data Analytics (2023β2025)
π» Passionate about Data Science, Machine Learning & Analytics
π Skilled in Python, SQL, R, TensorFlow, Tableau, Power BI, and Plotly Dash
π Turning raw data into actionable insights for business & healthcare
(ΨͺΨΩΩΩ Ψ§ΩΨ¨ΩΨ§ΩΨ§Ψͺ ΩΨ΅ΩΨΉ ΩΨ±Ψ§Ψ±Ψ§Ψͺ Ψ£ΩΨΆΩ β Data Science for Better Decisions)
- Programming & Querying: Python, R, SQL, Basic Java
- ML & Analytics: Time Series Forecasting (GRU, ARIMA), Predictive Modeling, Feature Engineering, EDA
- Big Data & ETL: Spark, Hadoop (basic), Data Wrangling, Distributed Processing
- Visualization & Dashboards: Tableau, Power BI, Plotly Dash, Matplotlib, Seaborn
- Databases & Web: MySQL, PostgreSQL, Django, REST APIs
- Built GRU-based forecasting model (MSE β 9.7), reducing simulated stockouts by ~20%
- Role-based dashboards (Django + MySQL) for real-time hospital resource management
- Applied HUOMIL pattern mining for medicine prioritization
- Preprocessed highly imbalanced financial dataset
- Trained Decision Tree (ROC-AUC β 0.93) & SVM (ROC-AUC β 0.96)
- Improved fraud recall by 18%
- Interactive sales dashboard with Plotly Dash
- Automated reporting, replacing static Excel sheets
- Dynamic filters & multi-view charts for business insights
- π‘ House Price Prediction β Regression models for investment decisions
- π Tesla vs. GME Analysis β Market volatility insights
βοΈ Flight Delay Dashboard β Real-time airline delay analysis- π Drug Response Prediction β Classification of patients into drug groups
- π IBM Data Science Professional Certificate β Coursera (2025)
- π Microsoft Power BI Data Analyst Associate (in progress)
βοΈ Feel free to explore my repositories and reach out for collaborations or opportunities!