Naquib Alam
Data Scientist 3 -DSP AdTech
Bengaluru, Karnataka, India
Summary
👤
Senior🎓
Top SchoolNaquib Alam is an applied data scientist with 8 years of experience building production ML solutions across retail, supply chain and ad-tech, currently focused on DSP AdTech at InMobi. He has driven high-impact forecasting programs at Walmart—saving hundreds of millions annually by designing multi-horizon models for distribution centers and store inbound trailers—and built scalable pipelines across thousands of stores and DCs. Prior roles include developing object-detection shelf analytics and ensemble models for CPG clients at Fractal, and traffic-demand forecasting at Cisco, showing a strong blend of deep learning, tree-based methods and time-series expertise. An IIT‑educated practitioner comfortable in Python, C/C++, Matlab and modern ML toolkits, he pairs hands-on modeling with KPI dashboards and RCA-driven improvements, often boosting accuracy where it mattered most. Notably, he has repeatedly translated complex business constraints into measurable operational savings, demonstrating both technical depth and a product-minded focus.
8 years of coding experience
8 years of employment as a software developer
Indian Institute of Technology Delhi (IIT Delhi)Bachelor of Technology (B.Tech.) Electronics and Communications Engineering, Bachelor of Technology (B.Tech.) Electronics and Communications Engineering at Indian Institute of Technology (Indian School of Mines), Dhanbad
English, Hindi, Urdu, Spanish
Github Skills (5)
image-recognition4
image-processing4
deep-learning3
computer-vision3
object-detection3
Programming languages (1)
Github contributions (5)
NaquibAlam/Projects-Retail_Shelf_Analytics
Jun 2019 - Jul 2020
Contributions:22 commits, 21 pushes, 1 branch in 1 year 1 month
image-recognitiondeep-learningcomputer-visionobject-detectionimage-processing
NaquibAlam/NaquibAlam.github.io
May 2020 - Jul 2021
Contributions:50 pushes, 2 branches in 1 year 1 month
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