Conducting in-depth analysis of mobile games to improve sales and retention of users using Python and SQL.- Identified key areas for improvement and made recommendations with consideration for business constraints.- Developed predictive models using algorithms like Random Forest and n-tile clustering, enhancing game performance forecasting. - Communicated findings and strategies to game developers, articulating the value and feasibility of new initiatives.-Leading a team of 3, fostering collaboration and guiding efforts toward achieving sales and user engagement goals.

Designed a Python application to consolidate ad performance data from Meta, Amazon, and Bookbub, streamlining reporting processes. - Analysed and cleaned ad data, improving the accuracy of ROI calculations across platforms.- Enhanced company workflows, ensuring all data merges were executed efficiently and reliably.