Developed and maintained sales analytics reports and dashboards to provide actionable insights that support data-driven decision-making for the sales and executive leadership teams. Record of delivering large analytical solutions with business impact. Optimized sales and operational efficiency through innovative thinking, process improvement, system enhancements, and best practice sharing. Applied Quantitative analysis and Data Visualization to deliver captivating presentations and managed multiple concurrent projects and drove them to completion with minimal guidance.

Built a machine learning model to predict customer churn for a telecom company. We achieved an accuracy of 85% on the test dataset. Experience on Python/SAS/Matlab and SQL Performed analysis on different data sets and created ML models to predict the test data accuracy.

PERSONAL PROJECTS
Develop Method for Churn Prediction On Huge Telecom Data (06/2019 – 08/2019)
A machine learning classifier that predicts whether a Telecom Customer will stop any services or whether change the Telecom Services or not. Churn is a problem for telecom companies because it is more expensive to acquire a new customer than to keep
your existing one from leaving. This will have a positive impact on the content quality.