1. Achieved mitigation of fraud from 30% to 25% and increase in revenue from clients by developing new methods for data preparation, data pipelines, analysis and via reporting using SQL and Tableau.2. Achieved an accuracy of 90% in developing predictive models using Random Forest and Logistic Regression to identify fake clicks and installs traffic.3. Developed a Lead Scoring Model and increased customer subscription by an average of 13% by generating heat maps of click to install conversions for clients.4. Improved delivery of targets by 5-10% by collaborating with the Marketing and Sales Leadership to project Sales KPIs using Optimization Models.5. Developed optimization analytics to assist the VP Finance in conducting unit economics analyses. This decreased Customer Acquisition Cost by 4% over a period of 1 year.6. Designed revenue data-marts on Snowflake for fast data retrieval. This is achieved by using tools like Visual Studio Code (source-code editor), Data Build Tool for modern methods of Extracting, Loading and Transforming data.6. Used SQL and Tableau to create custom data reports and dashboards and present them to C Level management.7. Forecasted Feedmob’s revenue, using time series analyses in Python, R and Tableau to set monthly and quarterly targets.8. Visualized data in Tableau; connect/join multiple data sources, write/code calculations to create dynamic dashboards for C level management and train end users on these reports and dashboards.

Careem is an Uber Subsidiary.1. Achieved drivers’ utilization rate of about 70% and a weekly customer acquisition growth rate of about 15% using SQL and Tableau to develop city specific data analytics dashboards to monitor performance of different cities, supply of vehicles, hourly utilization of drivers, and customer acquisition.2.Designed KPIs and metrics to make the city the highest growing market, with a monthly trips growth rate of about 20%, among the new markets being launched at the same time.3. Created executive-level dashboards in Tableau used by the COO to manage the overall health of the company. The dashboard was replicated by the development team and offered to different departments as a solution.