Lead Data Scientist | 9 years | AI Engineering
Actively Looking for Work
Engineer with ~9 years of experience in building robust data pipelines, machine learning and deep learning models, scalable architecture designs, cloud computing and end-to-end systems in order to solve challenging business problems in Finance, Retail, CPG, FMCG and Trade Finance industry.
Passionate about engineering and always looking out for curious minds to learn from and solve business problems.
Competencies: Data Science, Machine Learning, Python, R, Pytorch, SQL, MongoDB, OpenCV, Spark, Django, Redis and AWS
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Invent.ai
Built the Daily Action Board product from scratch and own it end to end — an AI-powered morning briefing system for retail teams that surfaces the most critical decisions of the day across replenishment, promotions, pricing, supply network, and assortment. Replaced fragmented, analyst-intensive reporting with an automated system that ranks issues by urgency and delivers plain-language explanations of what is wrong and what action to take — reducing lost sales, excess inventory, missed promotional windows, and supply disruptions before they compound. Architected and implemented the full agentic AI pipeline underpinning the product, driving proactive decision-making at scale for retail clients. Core contributor to the organization's official Claude plugin, consolidating internal knowledge, libraries, and tooling into a single unified interface — improving day-to-day productivity across 300+ employees.