Shubham Khera

Implemented customer segmentation initiatives to profile Financial Advisors, optimizing sales engagement activities and uncovering lucrative upsell and cross-sell opportunities, resulting in a 20% increase in revenue. Completed a customer churn analysis simulation, demonstrating advanced data analytics using Python, including Pandas and NumPy. Employed data visualization techniques for identifying essential client data and outlining a strategic investigation approach. Completed the engineering and optimization of a random forest model, achieving an 85% accuracy rate in predicting customer churn.

Develop and execute comprehensive test plans to validate computer vision algorithms and models, ensuring accuracy, robustness, and reliability. Conducted rigorous testing of computer vision application, achieving 95 % accuracy score of models in object detection, image segmentation tasks, and with other software modules or systems by collecting the sample data. Collaborated with development and product management teams to understand product functionality and business requirements. Developed scalable test strategies and test cases, including functional, regression, and API tests using POSTMAN.