Highly motivated Data Analyst and aspiring Data Engineer with a Master’s in Data Analytics and a strong academic foundation in Big Data, Predictive Analytics, and Cloud Computing. Proficient in Python, SQL, Power BI, and Snowflake, with hands-on experience in building data pipelines, cleaning and visualizing data, and solving real-world business problems using data-driven insights. Eager to contribute to innovative data solutions and business intelligence strategies.
Electric Vehicle Data Analysis (Capstone Project), AWS, Snowflake, Power BI, Created an ETL pipeline from public EV datasets into AWS S3 and loaded into Snowflake. Performed data cleaning in SQL and visualized trends like EV adoption, city-wise distribution, and energy utility patterns in Power BI. E-Commerce Sales Analysis, Python, Pandas, Power BI, Analyzed online retail data to identify top-selling categories, customer trends, and churn patterns. Built interactive dashboards and reports to summarize findings. Tsunami Incident Data Report, Python (Matplotlib, Pandas), Cleaned and analyzed global tsunami data to uncover high-risk zones, damage levels, and frequency over time. Presented geographic and time-series visualizations. Student Management System – SQL Project, Designed and queried a normalized relational database for managing student data. Implemented procedures for CRUD operations and optimized data retrieval using joins and indexing.