About

Archit Kapoor is a seasoned data science professional with over 4 years of experience in prototyping machine learning models in finance and retail. He currently works as a Senior Data Scientist at Rakuten, where he serves as a Machine Learning Engineer. Archit has a strong background in statistical analysis and software development, which he leverages to develop innovative solutions for complex business problems. He has worked with a variety of technologies, including Keras, Apache Airflow, Python, Django, Blockchain, and Big Data. Prior to joining Rakuten, Archit worked as a Data Scientist at SprintAI. In this role, he developed POCs and simulations for inter-store transfers, replenishments, and initial allocation quantities for various clients. He also clustered similar products based on product attributes, ROS levels, and substitutability levels using unsupervised learning techniques. Archit was responsible for forecasting multiple time series using an ensemble of machine learning algorithms, considering sparse and short history retail data while handling promotions/discounts, seasonality, and festive uplifts. He also productized and parallelized various pipelines to be used across clients. Before joining SprintAI, Archit worked as a Software Engineer at HSBC. He was part of the Global Credit Module Team, responsible for developing and maintaining GCM/GCS, a credit risk management tool for Lombard Lending. Archit was also part of the Innovation Labs Team, a research arm with a deep focus on understanding customer needs to design products using ML/Big Data/Blockchain. Archit holds a Bachelor of Engineering (B.E.) degree in Electronics and Communications Engineering from Netaji Subhas Institute of Technology (NSIT). He is a highly skilled professional with a relevant experience of 6.53 years.