About

Prerana Jakhotia is a highly skilled data science and analytics professional with over 8 years of experience in the field. Her expertise lies in data engineering, optimization, and forecasting. Currently working as a Consultant at end-to-end analytics, Prerana has previously held positions as a Senior Associate Consultant and Associate Consultant at the same company. Prerana's experience includes developing cloud-based analytics engines for IoT devices, where she applied techniques such as Random Forest, Decision Trees, and Linear Regression to forecast electricity usage of households. She also implemented Mixed-Integer Programming to optimize energy usage while considering supply constraints, and deployed the models on AWS servers, integrating them with the IoT device. Additionally, she built a pricing and promotion optimization tool, where she implemented Bayesian recursive least square regression and a feed-forward neural network (PyTorch) to forecast demand for the retailer. She also designed and developed a promotion optimization platform in VBA that enables users to visualize past performance of promotions and optimize future promotions to maximize its ROI/sales. Prerana has a Master of Engineering (M.Eng.) degree in Operations Research and Information Engineering from Cornell University, where she specialized in data science and analytics. She also holds a Bachelor's degree in Production Engineering from the College of Engineering Pune. Her technical skills include data engineering, data science, AWS, Random Forest, Neural Networks, and Pytorch. Prerana's experience and expertise make her a valuable addition to any team looking to optimize their data science and analytics processes.