π M.Sc. Data Science & Big Data Analytics (2023β2025)
π» Passionate about Data Science, Machine Learning, and Analytics
π Skilled in Python, SQL, R, TensorFlow, Scikit-learn, Tableau, Power BI, and Plotly Dash
π Interested in turning data into actionable insights for business and healthcare solutions
- 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 Data Processing
- Visualization & Dashboards: Tableau, Power BI, Matplotlib, Seaborn, Plotly, Dash
- Databases & Web: MySQL, Django, REST APIs
- Django + MySQL hospital management platform with role-based dashboards
- GRU-based inventory forecasting (12-month demand, test MSE β 9.74)
- HUOMIL pattern mining for high-utility medicine prioritization
- Real-time dashboards for ward availability and patient trends
π View Repository
- Preprocessed imbalanced dataset
- Trained Decision Tree (ROC-AUC β 0.93) and SVM (ROC-AUC β 0.96)
π View Repository
- Interactive sales trend dashboard using Plotly Dash
- Dynamic filters, multi-chart visualization
π View Repository
- Housing Price Prediction
- Stock Trend Analysis (Tesla vs. GME volatility)
- Predictive Analytics in Healthcare (85% accuracy)
- Flight Delay Dashboard (U.S. airlines 2010β2020)
- Drug Response Prediction
- IBM Data Science Professional Certificate β Coursera
- Microsoft Power BI Data Analyst Associate (In Progress)
βοΈ Feel free to check out my repositories and connect for collaborations!