Payel Ganguly is a software engineer with a Master's in Business Analytics & Information Systems and nine years of experience building enterprise software and predictive analytics solutions. She blends backend Java and Spring Boot expertise with Python-based data science (TensorFlow, scikit-learn, pandas) to deliver scalable systems that drive business process improvements. Currently at Penske Truck Leasing, she has prior engineering experience at Orange Business Services and hands-on analytics work with Amtrak and Microsoft research projects. Comfortable across SQL/NoSQL databases, cloud-native tooling and CI/CD, she pairs production software practices with a strong curiosity for machine learning model development. Colleagues describe her as a tech enthusiast who continually learns and bridges engineering and data science to turn complex data into actionable outcomes.
9 years of coding experience
5 years of employment as a software developer
High School Science, High School Science at CRPF Public School - India
Master's degree Business Analytics and Information Systems, Master's degree Business Analytics and Information Systems at University of South Florida
Bachelor of Technology - BTech Information Technology, Bachelor of Technology - BTech Information Technology at INDIRA GANDHI DELHI TECHNICAL UNIVERSITY FOR WOMEN
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