About

Raghav Kejriwal is a highly motivated and creative data scientist and analytics professional with over six years of experience in the field. Currently serving as AVP for Investcorp, he specializes in alternative assets, data science and analytics, AI and MLOps, cloud and transformation. Previously, Raghav worked with Mastercard as a management consultant, where he led the development of scalable solutions such as personalized card-linked offers, an AI-based Mastercard Traveller Rewards Budget tool, a churn engine, and a global benchmarking tool. He was also instrumental in building a strong team of 20+ data scientists, BI developers, business analysts, product analysts, and product managers. Before joining Mastercard, Raghav worked for 3.5 years with Fractal Analytics, a boutique analytical firm, delivering multiple high-end analytical projects utilizing machine learning, deep learning, and natural learning processing (NLP). His key projects included fraud network identifier (using a graphical model), attrition/churn models, credit risk models, recommendation systems, liability models, market mix modeling, forecasting engines, market basket analysis, document tagging using NLP, and profiling basis loss ratio. Raghav has competencies in data science consulting, insight generation, problem-solving, storyboarding, POV deck for sales pitch, and team management. He has technical skills in R, Python, SQL, machine learning, deep learning, TensorFlow, Keras, Pytorch, Hive, Impala, Pyspark, Google cloud platforms, Azure, Tableau, Power BI, Looker, MLOps, and Microsoft office. His domain expertise includes payment, P&C insurance, health insurance, retail and CPG, and telecom. Raghav has certifications in Data Science (Stanford University & Udacity), Visualization (Tableau), Blockchain (The State University of New York & University at Buffalo), and GCP (Google). Raghav holds a Bachelor of Engineering degree in Instrumentation & Control Engineering from NSIT Delhi and a Machine Learning Engineering degree from Stanford University. He also holds a Machine Learning Engineer Nanodegree from Udacity. With his vast experience and expertise, Raghav is constantly striving to learn and grow with the right set of opportunities.