In this project we built a Python-based data cleaning and clustering workflow to analyze 1,000+ Netflix titles. Used SQL, Pandas, and Seaborn to uncover correlations between content features and viewer engagement for strategic media insights.
In this project, we analyzed a dataset to build a machine learning model that can classify the credit score of a person, given a person’s credit-related information.
Analyzed 1,300+ British Airways customer reviews to uncover patterns in satisfaction, sentiment, and service quality. Built interactive Tableau dashboards to visualize sentiment by traveller type, route, and aircraft, and developed a framework for predictive modeling on recommendation likelihood. Click Image for Interactive Dashboard
Built interactive Power BI dashboards by querying and preparing sales and budget data from SQL databases. Designed visual reports to track product and customer performance, enabling dynamic filtering and comparison against budgets for portfolio analysis.
To be continued...
Boston, MA