RAKESH SACHDEV

Responsible for offshore business consulting & analytics projects in the Decision Science team. Worked as an offshore business consultant for pharma clients, providing business recommendations using AI/ML techniques. Created industrialized marketing mix workflows in Python for ROI measurement, increasing ROI by 50%. Coordinated cross-functional teams to design and develop marketing budget optimization and customer scoring solutions. Analyzed the impact of DTC campaigns using non-linear marketing mix modeling.

Worked on payment delay days prediction models for open invoices in AR data using Pyspark. Built classification and regression models (Random Forest) to predict payment delays. Performed statistical analysis on leakage and deductions at the customer invoice level.

Built credit card spend prediction models using various techniques (Linear regression, random forest, decision trees, K-NN, XgBoost). Performed Kmeans clustering with PCA to reveal behavioral segments. Performed Text Mining, Sentiment Analysis, and Topic Modelling on bank reviews/complaints to predict star ratings. Built Network Intrusion Detection Systems using multiple classification models.

Worked on Walmart store sales prediction forecasting model using Regression modelling technique. Performed online job posting analysis and IT job classification using Topic Modelling and cosine similarity to understand job nature and required skillsets.