I've analyzed 457 movies in regional rankings, engineered contract and tenure features, and created 11 visualizations to identify churn-prone segments. My analysis found that 38% of churned users were on monthly contracts with less than three months of tenure, supporting early-engagement strategies.
I also built a groceries management relational database covering products, suppliers, customers, and sales transactions. I developed SQL queries, joins, and stored procedures to automate inventory updates and order processing while applying normalization and integrity constraints.
I'm a Computer Science and Engineering graduate with hands-on foundations in SQL, Python, Power BI, Tableau, data cleaning, exploratory analysis, and reporting. I’ve completed Deloitte data analytics case studies and hold the Oracle Cloud Infrastructure 2023 Certified Data Science Professional certification.
