About

Ved Prakash is a seasoned Full-stack Data Scientist with over 7 years of experience leading Machine Learning functions in various industries such as e-commerce, technology, BFSI, and consulting. He is currently working as a Senior ML Engineer at Paytm, where he applies his expertise in Search Personalization and MLOps to drive outcomes for the organization. Ved's expertise lies in framing ambiguous problems into data science problems and identifying and answering the questions that influence business decisions. He has executed on some core problems of Urbanclap, where he was the first data scientist hired, such as Matchmaking, Capacity, Churn, Productivity Loss, Fraud-system, Demand-Supply problems, among others. He has also designed metrics that have become core KPIs. Ved is an expert in leading outcome-focused data-science functions in start-ups and writing stories with data. He is an avid reader of data books and has a deep understanding of various data science concepts. He has worked on various projects, including Bad Quality Selfie Classifier, Face Verification, Uniform Detection (Fraud Detection), and Identifying professionals who are going to get churned and identifying strong levers to retain them (partner retention). Ved has a Bachelor of Technology degree from NIT Raipur and an Online Master of Science in Computer Science from Georgia Institute of Technology. He has a diverse Tech Stack that includes ML, Data Scientist, Research Scientist, Search, Deep Learning, Tensorflow, SQL, NLP, Computer Vision, Spark, Scikit, Python, AWS, Kubernetes, Microservices, Recommendation system, Data Engineering, Docker, Neural Networks, and Mobile. Overall, Ved has relevant experience of 8.03 years and has worked with various companies such as Urban Company and Valiance Solutions, where he has assisted organizations in taking better decisions by providing actionable insights through data science, math, and business knowledge.