About

Naquib Alam is a skilled Senior Data Scientist with a passion for Machine Learning and Data Science. He has expertise in Python, Matlab, C, C++, Neural Network, Deep Learning, Computer Vision, and other related technologies. Naquib is currently working at Walmart Global Tech, where he is responsible for Market Intelligence. In his previous role as a Data Scientist at Walmart, Naquib built and enhanced solutions to support Walmart's supply chain operations. He saved operational costs by 380mn USD annually by building advanced forecasting models to predict the inbound and outbound volume for Distribution Centers. Naquib also reduced lead-time and saved cost by 160mn USD annually by building Prophet and Catboost models to forecast the trailers inbound to stores for labor planning. He worked on various modeling techniques, including Linear and Quantile Regression, XGBoost, Catboost, and Prophet. Naquib also built a Plotly dashboard to track the KPIs for different Grocery, Regional, and Sams Club DCs. Naquib also worked as a Data Scientist at Fractal Analytics, where he reduced out-of-stock and in-store audit time by 4.1% and 43%, respectively, by developing a Deep Learning (Object Detection) based framework to process and analyze retail shelf images. He also developed an ensemble of XgBoost, Random Forest, and Neural Network to predict the list of tentative ingredients which should be printed on the product label. Naquib analyzed the impact of different growth drivers, like media, promotions, holidays, and pricing, on sales using Bayesian Network. Naquib holds a Master of Technology (M.Tech.) in Computer Technology from the Indian Institute of Technology, Delhi, and a Bachelor of Technology (B.Tech.) in Electronics and Communications Engineering from the Indian Institute of Technology (Indian School of Mines), Dhanbad. He has relevant experience of 5.86 years and is a Data Scientist, Research Scientist, and an expert in XGBoost, Deep Learning, Computer Vision, Neural Networks, Python, ML, Random Forest, Object detection, and Object Detection.