Data Science graduate with strong hands-on experience in data analysis, machine learning, and predictive modeling, focused on transforming raw data into meaningful insights that support real-world decision-making.

Experienced across the full data lifecycle, including data collection, cleaning, feature engineering, modeling, evaluation, and visualization. I have built regression and classification models for domains such as real estate pricing, agriculture IoT analytics, sentiment analysis, and business intelligence.

Proficient in Python (Pandas, NumPy, scikit-learn), SQL, Power BI, and Streamlit, with a solid foundation in statistics, hypothesis testing, and model evaluation (MAE, RMSE, R²). Comfortable communicating insights through dashboards, reports, and visual storytelling.

Interested in applying data-driven thinking, machine learning, and visualization techniques to solve complex business problems and support strategic decision-making.