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π Iβm a Final Year Data Science Undergraduate at University of Colombo who is passionate about turning data into actionable insights.
π‘ I love building smart solutions with Machine Learning, Deep Learning, and Interactive Dashboards.
π I love uncovering stories hidden in data and crafting smart solutions through code & creativity.
π Iβm currently diving deeper into model deployment, data analysis, and data visualization to bring insights to life.
| π Project | π οΈ Tech Stack | π Description |
|---|---|---|
| π Medical Premium Predictor | R, glmnet, caret |
Built a regression model to estimate medical insurance costs based on health profiles. |
| π World Happiness Dashboard | Power BI, DAX, Excel |
An interactive global dashboard revealing factors behind happiness scores. |
| 𧬠Lung Cancer Predictor | Python, Sklearn, Pandas,Flask, HTML |
A predictive tool that uses cluster-based ML models to assess lung cancer risk from patient data. |
| ποΈ Sleep Health & Lifestyle Dashboard | R, Shiny, ggplot2 |
Developed an interactive RShiny dashboard to explore how lifestyle habits affect sleep health. |
| π House Price Prediction | R, Regression |
Performed regression analysis to predict housing prices based on various property features. |
| π Alternative Data Stock Analytics Dashboard | Python, Streamlit, Google Cloud, SARIMAX |
Cloud-based stock analytics dashboard integrating traditional & alternative data with real-time forecasting and interactive visuals. |
| π«οΈ Air Pollution Causal Analysis | Python, Gaussian-Copula VAR, KANGCI |
Causal inference study on Beijing PM2.5 using Gaussian-Copula VAR and KANGCI to identify key meteorological drivers. |
| β Coffee Quality Prediction | Python, Sklearn, XGBoost, Pandas |
Predicted coffee quality grades using ML models; achieved 97% accuracy with XGBoost and optimized features via RFECV. |
- π BSc (Hons) in Data Science β University of Colombo
- π CIMA Certificate Level β Wisdom Business Academy
βData is the new oil, but only if refined.β
π Exploring | π‘ Learning | π§ Building
