Design and deploy custom ML models for real world problems ranging from recommendation systems and fraud detection to customer segmentation and forecasting.
Transform raw data into insights with end-to-end analytics solutions data cleaning, feature engineering, dashboard creation, and storytelling for decision makers..
Build intelligent tools powered by LLMs and RAG pipelines, including AI chatbots, knowledge assistants, and tailored GenAI workflows for business use cases.
Collaborate on building scalable, production ready AI products or MVPs with a strong focus on usability, domain alignment, and deployment efficiency.
Data Scientist
I'm a Data Scientist and AI Engineer with 6+ years of experience in machine learning, NLP, and AI automation. I specialize in building scalable solutions from AI chatbots and recommendation systems to intelligent analytics platforms across industries like BFSI, Retail, Logistics, and Hospitality.
My current focus lies in working with LLMs, Retrieval Augmented Generation (RAG) pipelines, and deploying practical AI in real world products.
Outside of tech, I’m an avid traveler and photographer, always exploring new perspectives both through data and through life.
Patna, India
+91 8986510661
roushankumarmail07@gmail.com
Apr 2023 - Feb 2025
Worked on sales, stock, and P&L data using Python. Built forecasts to plan rotas and stock better. Helped reduce waste and raise profit margins by 10%.
Oct 2022 - Mar 2023
I worked part-time in a fast-paced fulfillment team, efficiently processing orders under tight deadlines to support smooth delivery and enhance the customer experience in a high-volume retail setting.
Nov 2021 - Jan 2022
I worked part-time at Amazon's high-volume warehouse, processing orders under tight deadlines and supporting supply chain efficiency through accurate inventory and logistics coordination.
Mar 2019 - Jul 2021
Analyzed banking user behavior using Python and SQL. Helped modernize systems and improve features. Boosted engagement and user satisfaction.
Jun 2017 - Mar 2019
Improved data pipelines using SQL and backend tools. Cleaned raw server data for analytics. Reduced data issues by 20%.
An absolute asset to any team technically sharp, business focused, and always a step ahead.
