Data Scientist with strong experience in Machine Learning, Data Engineering, and analytics. I build end-to-end data solutions — from raw data to insights and deployable ML models.
I currently work as a Data Scientist, with hands-on experience in building machine learning models, designing ETL pipelines, and working with cloud-based data platforms. My background spans analytics, consulting, and engineering, enabling me to approach problems with both business and technical perspectives.
Regression, Classification, Model Evaluation, Feature Engineering
ETL Pipelines, PySpark, Databricks, Cloud Storage
Python, SQL, Pandas, NumPy
Power BI, Tableau, Matplotlib, Seaborn
Built a regression model to predict housing prices using structured data, feature engineering, and model tuning.
Implemented classification models to detect fraudulent transactions, focusing on class imbalance and recall optimization.
Designed and implemented an end-to-end ETL pipeline using PySpark and cloud object storage.