About

Himanshu Chugh is an achievement-driven professional with nearly 11 years of experience in Data Science and Machine Learning. He has experience in architecting and implementing Machine Learning applications in multiple domains including Retail, FMCG, Supply Chain, and Media. He has successfully implemented and deployed large-scale Artificial Intelligence solutions like Supply Chain Demand Forecasting, Pricing and Promotions optimization, Personalized Targeting, and Fast Delivery Tags for E-commerce Marketplace. Himanshu is skilled in libraries such as Sklearn, XGBoost, Numpy, Pandas, Matplotlib, and Tableau for Data Visualization. He has extensive knowledge of working with multiple programming languages like SQL, Hive QL, Python, PySpark, and Scala. He has experience in all phases of the machine learning product development life-cycle such as business understanding, data collection and pre-processing, feature engineering, model building and testing, deployment, and setting up continuous monitoring framework. Himanshu is an expert in manipulating and analyzing complex, high-volume, high-dimensionality data from varying data sources and big data sources using distributed frameworks such as Spark, Hive. He has experience in leading and mentoring a team of data scientists for end-to-end implementation. Currently, Himanshu is working as a Staff Data Scientist at Rakuten, where he owns and manages data science initiatives that power customer marketing across various Rakuten online businesses. He has built a machine learning-based solution to predict the purchase propensity of leads on Rakuten Fashion platform, which provided 2x conversion rate as compared to baseline lead scoring models. In the past, Himanshu has worked as a Data Science Mentor at Scaler Academy and as a Senior Data Scientist at Walmart. At Scaler Academy, he provided advanced analytics solutions to Retail, FMCG, Media, and Banking clients. At Walmart, he owned and managed data science initiatives that powered the performance of Walmart Marketplace product. He built and fine-tuned machine learning algorithms to figure out products for a given marketplace seller, which can be delivered in 2 days and recommend Smart TwoDay tag. Himanshu has a Bachelor of Technology (BTech) degree in Electrical and Power Transmission Installation/Installer, General from Punjab Engineering College. He is skilled in Data Scientist, Research Scientist, ML, SQL, XGBoost, Big Data, Python, Spark, Random Forest, Apache Hive, Scikit, Hadoop, GCP, Pandas, Hyperparameter, Scala, Deep Learning,