Summary
Anshul Sharma is a Data Science Manager with over a decade of cross-industry experience building end-to-end ML solutions across CRM, finance, supply chain, automotive and data security. He combines hands-on data engineering, MLOps and cloud architecture skills with applied ML—delivering revenue-driving products like a VMT offering at S&P Global and LLM-driven automation at Gartner that cut manual work by 80%. Comfortable across Python, PySpark, PyTorch and Hugging Face, he architects serverless, scalable pipelines and productionized LLM workflows that turn analytics into real-time seller insights. His career blends deep engineering (SAP BW/HANA, Terraform, AWS) with product impact—automating forecasts from weeks to hours and optimizing territory planning for thousands of sellers. Now based in Dubai, he’s driven by learning emerging AI tech and translating it into measurable business outcomes. A not-obvious strength: he pairs enterprise-grade reliability practices with rapid prototyping of generative-AI use cases to accelerate adoption without sacrificing scale.
8 years of coding experience
10 years of employment as a software developer
Machine Learning Nanodegree, Machine Learning Nanodegree at Udacity
Computer Science, Computer Science at Apeejay School pitampura
Bachelor of Technology (B.Tech.) Electronics and Communications Engineering, Bachelor of Technology (B.Tech.) Electronics and Communications Engineering at Delhi College of Engineering
Hindi, English