Team

Experience & Activities

Prateek Jain, an MBA holder with over 12 years of experience, specializes in driving Data Science-led consulting projects in the Retail Customer Analytics and BFSI Credit Risk domains. His expertise encompasses delivering value-centric insights and recommendations to clients, ensuring a robust return on investment. In terms of leadership, Prateek effectively manages a diverse team of over 20 professionals across Data Science, Data Engineering, ML Engineering, BI specialization, and Scrum Project Management. He adeptly handles people management tasks, including performance appraisals. Prateek thrives in problem-solving and serves as a subject matter expert, contributing to intricate business solutioning and shaping use case deliveries. He collaborates with various stakeholders, both internal and external, including executive-level audiences, and partners with technology vendors to establish a holistic ecosystem for practice growth.His involvement spans across the entire business cycle, actively supporting Pre-Sales and Business Development efforts to achieve sales targets. Prateek is a catalyst for practice innovation, engaging in Commercial Offering Development, preparing Concept Notes, filing Patents, and publishing Research Papers. Furthermore, Prateek’s proficiency extends to diverse industry use cases. He excels in Credit Risk Analytics, performing thorough Credit Risk Model Validation for retail portfolios, covering Application and Behaviour Scorecards. In Customer Analytics, he demonstrates prowess in Customer Segmentation, Propensity Modelling, Recommendation Engines, Acquisition Modelling, and Personalized Campaigns. Additionally, he showcases expertise in Product and Store Analytics, involving Store and Product Basket Clustering, Demand Forecasting, Assortment Optimization, Pricing and Promotion Analytics, Web Click Analytics, New Product Design Optimization, and In-store Promotion Analytics. Prateek also delves into cutting-edge areas like Text Analytics using NLP principles, Sentiment Analysis, Image Processing, and Retail Fraud Propensity Modelling. His proficiency extends to GDPR implementation and crafting product development roadmaps, complete with ecosystem setup and IAM roles. In summary, Prateek Jain is a seasoned professional with a broad skill set, making significant contributions across leadership, problem-solving, innovation, and domain-specific expertise within the realm of Data Science and Analytics.

Patents and Paper:
AI based Knowledge engine
AI based Product Design Optimizers
AI based Fraud Predictor
Comparative Analysis of Store Clustering in Retail Industry, 8th International Conference on Data Science held in Prague in July 19