Himanshu Chugh is a highly experienced data scientist, with over nine years of expertise in solving analytical problems across a variety of domains, including banking, retail, FMCG, media, and supply chain. He has tackled an array of business problems, from creating dashboards to large-scale predictive solutions, such as demand forecasting, pricing, propensity modeling, and promotions optimization. Chugh has harnessed his expertise in machine learning techniques, including GLM, XGBoost, and K means clustering, and is proficient in a range of tools, including R, Python, SQL, Emblem, and PySpark. His skills also include big data platforms like Hadoop/Spark/H2O-Linux, statistical concepts like predictive and prescriptive analytics, and visualization skills in Excel dashboard and Microstrategy.

In his role as a Data Scientist at Blue Yonder (previously JDA Software), Chugh was responsible for developing and interpreting analytical models to solve business problems across retail, sales, marketing, supply chain, and pricing domains. Together with his team of data scientists and data engineers, Chugh assisted in converting analytical solutions into products with multi-client demand. Additionally, he has played an instrumental role in building, leading, and mentoring data science teams while conducting various training sessions on statistics and analytics for stakeholders.

Chugh studied Bachelor of Technology in Electrical and Power Transmission Installation/Installer, General at Punjab Engineering College, where he undoubtedly developed his aptitude for analytics and forecasting. He previously worked at leading companies such as Quantium, dunnhumby, Mu Sigma, and Hero Honda, bringing his unique skills and expertise to tackle a wide range of challenging business problems.