About

Kumar Rishav is an accomplished Associate Lead Data Scientist at Sigmoid, with over 4 years of experience in demand planning analytics in the food industry. He is an analytics professional with demonstrated strong technical competency in implementing time series statistical forecasting, clustering, and predictive modeling using machine learning models. Kumar has a proven track record of supporting global businesses by providing scalable solutions implementing analytical methods. Kumar is skilled in analytical tools such as R, R Shiny, Python, Tableau, Excel, and SQL. His key responsibilities at Sigmoid include assisting team leads in planning sprints and managing client expectations, brainstorming on problem-solving approaches, and prioritizing action items. Kumar is also an indirect manager to four resources, delegating tasks and validating work. He works as an individual contributor, handling model scripting, data wrangling, and other related tasks. Kumar has worked on several projects, including generating planned independent demand prediction at finished material level for a tool manufacturing company, where he implemented timeseries models such as Arima, Holtwinters, and machine learning ensemble models (XGBoost & catboost). He has also worked on face localization and identification in a movie using deep learning models such as Yolo-v5, Retinaface & Resnet 50. Prior to joining Sigmoid, Kumar worked as a Senior Analyst - Supply Chain Analytics Demand Planning at General Mills. His responsibilities included statistical forecasting in times of Pandemic, capturing sales loss due to poor customer service for prolonged periods, and adhoc works. Kumar also played a leadership role by supporting execution of multiple projects, collaborating with stakeholders to understand business requirements, and working on testing of new tools and technologies. Kumar holds a dual degree in BTech - Manufacturing Science and Engineering & MTech - Industrial Engineering and Management from the Indian Institute of Technology, Kharagpur. He also has experience in performing structural analysis using Ansys Workbench on CAD models of Bosch Rexroth oil reservoirs and BHEL hydraulic power-pack cabinet. Kumar's tech stack includes Data Scientist, Research Scientist, ML, XGBoost, Python, SQL, ResNet, Computer Vision, NLP, Deep Learning, Test, and Mobile. With his relevant experience of 4.37 years, Kumar is a valuable asset to any organization.