About

Vipul Bhalla is a skilled Data Scientist with a passion for Deep Learning and a strong background in Python, NLP, EDA, and Statistical Data Analysis. With over 4 years of relevant experience, Vipul has worked with top companies such as Tata 1mg, Siemens Technology and Services, and Wells Fargo, where he currently serves as a Quantitative Analytics Specialist. Vipul's expertise in Deep Learning has been demonstrated through his work on dynamic pricing and adaptive reinforcement models at 1mg, where he implemented a Reinforcement Learning framework to determine the ideal discounted price offered to customers, resulting in a net profit increase from 4% to 8% on average. He also revamped the reinforcement learning model architecture by introducing a probabilistic Q Learning approach for smarter exploration, resulting in an extension of the profit earned from 8% to 12% on average. At Siemens, Vipul developed a microservice-based architecture to provide AI-aided optimization for an input block of program code and proposed an approach for the automated generation of minimal text cases for maximum path coverage. Vipul holds a Bachelor of Technology in Computer Science from SRM University, where he gained a strong foundation in the field. He also has experience in search, web development, and computer vision, and has worked with a variety of technologies such as TensorFlow, BERT, Docker, and MySQL. As a researcher and data scientist, Vipul is highly skilled in data analysis and has a keen eye for detail. He is a self-motivated individual who is passionate about solving complex problems and delivering high-quality results. Vipul is a valuable asset to any team and is always eager to learn and grow in his field.