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 am Roushan Kumar, a highly accomplished Data Scientist and AI Engineer with 6+ years of experience. I specialize in building, deploying, and scaling high-impact AI solutions across BFSI, Retail, and Logistics sectors.
My core expertise is in Generative AI, focusing on RAG systems (GPT-4), intelligent LLM agent development, and production-ready MLOps pipelines. I leverage predictive analytics and deep learning to drive measurable business value, including delivering 20% higher reporting accuracy and significantly cutting data ingestion errors from 5% to 1%.
I am adept at taking models from research to deployment using Docker, FastAPI, and AWS. Outside of tech, I'm an avid traveler and photographer, always exploring new perspectives.
Patna, India
+91 8986510661
roushankumarmail07@gmail.com
Apr 2023 - Feb 2025
Forecasted sales and optimized staff schedules to reduce costs while maintaining peak performance. Managed inventory to ensure full stock availability during busy periods. Built tracking tools that supported record revenue and perfect audit scores.
Oct 2022 - Mar 2023
Improved online order processing by refining product replacement strategies and monitoring stock levels. Achieved 99.5% on-time delivery by streamlining the picking, packing, and dispatch process in a fast-paced retail setting.
Nov 2021 - Jan 2022
Increased warehouse efficiency by 8% by improving sorting processes and identifying bottlenecks. Streamlined delivery routes for 800+ parcels daily through better package tracking and validation systems.
Mar 2019 - Jul 2021
Analyzed customer data to identify audience segments for targeted marketing. Built live dashboards to track engagement and product usage. Improved project reporting accuracy by 20% through enhanced progress tracking.
Jun 2017 - Mar 2019
Built automated systems to process 10M+ records daily from global sources. Standardized raw data for analysis and business insights. Reduced data errors from 5% to 1% through improved workflows and validation.
An absolute asset to any team technically sharp, business focused, and always a step ahead.
