Summary
Bheeni Garg is a Cloud Developer and data scientist with 10 years of experience combining statistical rigor and engineering to build scalable analytics and ML solutions. With a Master’s in Statistics and hands-on roles at Adobe and related cloud engagements, she blends strong Python, Spark, and SQL skills with practical experience in R, SAS, Tableau and production data pipelines. Her background spans end-to-end work—from cleaning and modeling large datasets with PySpark and SparkML to communicating insights to technical and non-technical stakeholders. She has applied a wide range of techniques (from regression and time-series analysis to neural networks and SVMs) across trust & safety and product analytics domains. Known as a quick learner and clear communicator, she pairs deep quantitative training (Penn State certificate, Udacity ML nanodegree) with a pragmatic focus on turning models into actionable business decisions.
10 years of coding experience
4 years of employment as a software developer
Graduate Certificate, Applied Statistics, Graduate Certificate, Applied Statistics at Penn State University
Machine Learning Engineer Nanodegree, Machine Learning Engineer Nanodegree at Udacity
Master of Business Administration (M.B.A.), HRM, Master of Business Administration (M.B.A.), HRM at ICFAI Business School
Bachelor of Engineering (B.E.), Electronics & Communication Engineering, Bachelor of Engineering (B.E.), Electronics & Communication Engineering at University Institute of Technology
Master’s Degree, Statistics, 3.87/4.00 GPA, Master’s Degree, Statistics, 3.87/4.00 GPA at California State University - East Bay
English, Hindi, deutsch (german)