About

Arpit Bhawsar is a skilled business analyst with extensive experience in customer analytics and tech industries. He is an expert in building predictive models for diverse problems using advanced data-driven methods. With a creative problem-solving approach, Arpit brings a wide array of analytical skills to every project he works on. Arpit has worked in various industries, including utilities, FMCG, insurance, and logistics. His area of expertise includes demand/capacity planning and forecasting, churn prediction, digital analytics, customer experience (CX), project implementation, transport and logistics, and risk modelling. He is well-versed in data analytics and machine learning, NLP, deep learning, business models, and marketing research. Arpit is proficient in using several tools, including R, SAS, JDA, SQL, Python, Tableau, Power BI, Adobe Sitecat, Databricks, Microsoft Azure, Google Analytics, Microsoft Excel, and Kinaxis. He has also written several articles that can be found on his Medium profile. Currently, Arpit works as a Demand Planning professional at Koch Business Solutions. Before that, he worked as a Data Scientist at Maersk Global Service Centres, where he led the development of a SaaS product and enhanced customer experience for products. He also worked as a Senior Consultant at PwC, where he implemented a demand planning solution for an FMCG client across APAC sector and built ARIMA, Neural Net, and Prophet models for time series forecasting in R and Python. Additionally, he conducted NLP modelling in Python for text summarization and topic identification. Arpit holds a Bachelor of Technology (BTech) in Electronics and Communication from Maulana Azad National Institute of Technology and a Post Graduate Program (PGP) in Analytics from the Indian Institute of Management, Indore. With almost 6 years of relevant experience, Arpit is a competent Data Scientist, Research Scientist, and Product Manager with expertise in Databricks, Python, ML, SQL, NLP, Deep Learning, and Azure.