A collection of my selected works and projects related to data analytics, marketing, and AI.
Analyzing 71000+ games on Steam, I compiled marketplace trends through Python EDA and visualized through Tableau dashboard. To provide actionable suggestions, I used Natural Language Processing to find out the best SEO strategy for the game page.
Focused on player engagement, sentiments, and pricing dynamics, the goal is to provide actionable insights to game companies, aiding them in creating games that resonate with their audience.
Used a news dataset to examine news website users' browsing patterns and apply their knowledge to build a model which helps websites recommend articles to viewers based on the patterns.
The primary objective is to provide a prediction of Uber and Lyft surge prices under different weather and geolocation factors, such as: temperature, rain, wind, pick up location, and destination, to enhance passengers' ability to make informed booking decisions.
Analyzing restaurant performance data across multiple states with a focus on Texas, this project examines key factors influencing success on UberEats including location, pricing, ratings, and menu composition to provide actionable insights for restaurant owners.
