With a background in both Data Engineering and Data Analysis, I work on building and managing data pipelines, including ETL processes, and transforming data into insights that drive business decisions. I possess strong analytical skills, enabling me to bridge the gap between technology and business, improving both operational efficiency and strategy. - EDA and ETL processes - Data Analysis using Python (Pandas, Numpy), MySQL, and MongoDB - Data Visualization (Looker Studio, Tableau, Power BI, Plotly, Seaborn) - API Integration & Web Scraping (BeautifulSoup, Selenium) - Build and Evaluate Machine Learning Models (Scikit-Learn) - PySpark for distributed data processing - Databricks for data analysis and processing - Git for version control