About

Virendra Pal is an accomplished Chief Data Science Officer with over 13 years of extensive experience in business intelligence and data science. He has a strong analytical background and a thorough understanding of business functions, which has helped him deliver end-to-end ML/AI solutions for various domains such as Insurance, Banking, FMCG, and pharmaceuticals. Virendra is adept in establishing state-of-the-art data science capability, strategy, and creating a blueprint for managing components of data to enable business growth and encourage data-driven decision making. He has designed complex statistical solutions and developed advanced ML models across consumer lifecycle using various techniques such as econometric, Deep Learning, Machine Learning, knowledge representation & reasoning (KRR), natural language processing (NLP), Computer Vision, and Audio/Speech Analytics. One of Virendra's greatest strengths is his ability to collaborate effectively with senior business leaders and key stakeholders across product, sales, underwriting, policy, process, legal, and compliance to understand the underlying business use cases and develop innovative solutions of high business impact. Virendra has worked with several reputed organizations such as smecorner and Edelweiss, where he has held senior positions such as Chief Innovation and Analytics Officer and Manager Advance Analytics & Machine Learning, respectively. He has also mentored peers and analysts across the division in analytical best practices. Virendra holds a Master of Business Administration - MBA in Finance and Information Technology from Rabindranath Tagore University, a Master’s Degree in Data Science and Big Data from Aegis School of Business, Data Science & Telecommunication, and a PGPM in Marketing and Strategy from the International School of Management Excellence. He also has a Bachelor’s Degree in BTech Mechanical from Maharashtra Institute of Technology. Virendra has a strong tech stack, including Data Scientist, ML, AI, NLP, P2P, Computer Vision, Deep Learning, OpenCV, Keras, Big Data, Python, TensorFlow, Pytorch, SQL, Information Retrieval, Supervised Learning, Object detection, RNN, Word2Vec, Parts-of-speech, n-grams, language models, Object Detection, Image Processing, Spark, Kubernetes, Research Scientist, MySQL, GCP, and Apache Hive. Overall, Virendra has 9.79 years of relevant experience in the field of Data Science and Business Intelligence.