Hi, I'm Jainam.
I build data-driven and AI-assisted products: from enterprise RAG chatbots to predictive analytics and agentic prompt optimization.
About
I’m a graduate student at the University of Illinois Urbana-Champaign (MS in Information Management) with a focus on Machine Learning, Data Science, and Generative AI. I currently work at Deloitte (Audit & Assurance) as a Data Science Intern, improving AI services with agentic prompt optimization and reliable evaluation.
- Patent Holder: Intelligent Fruit Freshness Grading (Computer Vision)
- Published Researcher: Deep Learning for Indian Birds Classification
- Domains: Data Science, ML, NLP
When I’m not experimenting with models, you’ll find me playing guitar, reading, or on a cricket/table tennis court.
Skills
- Programming: Python, SQL, R, JavaScript
- Analytics & ML: NumPy, Pandas, scikit-learn, TensorFlow
- Tools: MySQL, MongoDB, SQL Server, Tableau, Power BI, Selenium
- Software: Jupyter, VS Code, MS Office
Stats
Education
M.S. Information Management
University of Illinois Urbana-Champaign · Aug 2024 – May 2026
GPA: 4.00
B.Tech. Computer Science & Engineering
University of Mumbai · 2020 – 2024
CGPA: 9.47
Work Experience
Data Science Intern
Deloitte & Touche LLP · Jun 2025 – Present
Agentic pipelines for prompt optimization (DsPy, LangChain, Azure OpenAI), evaluation loops, and productionized AI utilities.
Graduate Student Researcher
National Center for Supercomputing Applications · Jan 2025 – May 2025
Biomedical NLP and knowledge integration; analytics for complementary medicine and biological knowledge support.
Machine Learning Intern
Nimbusnext Technologies · Jun 2023 – Sep 2023
Built classic ML/NLP pipelines and evaluation dashboards for applied use-cases.
Data Analyst Intern
Ozibook Technologies · Nov 2022 – Feb 2023
Reporting, analytics automation, and business insight generation.
Mentorship & Positions
Technical Vice Chairperson
2021 – 2023 · Mumbai, India
Technical Committee Member, RAS
2021 – 2022 · Mumbai, India
Projects
Logistic Delivery Strategy — Monte Carlo
Compared two hypotheses to reduce compute and scale route optimization in a delivery window.
Fuel Futures Predictive Analytics
ANOVA + time-series modeling to understand price/volatility relationships.
Walmart Sales Analysis & Forecasting
Interactive dashboards across 45 stores for real-time trends & markdown insights.
Enterprise RAG Chatbot
Advanced routing & retrieval for faster answers at lower compute.
Canopy — NASA Space Apps
EO data trends; ~30% faster farming decisions with AI utilities.
Effective Targeting of Ads
Predict user interest to cut spend on uninterested audiences.
FreshScan+ (CV)
Freshness grading & expiry detection via computer vision.
EthAnalytics (Realtime)
Big-data pipelines for large-scale on-chain analytics.
Log Anomaly Detection
ML/DL/NLP methods to catch anomalies in software logs.
Publications
Achievements
NASA Space Apps Challenge — Chicago
Judge's Choice Award
Farmer-centric insights with AI utilities for faster decisions.
See PostCertifications
Fundamentals of Accelerated Computing with CUDA Python
Issued Mar 2024
AWS Academy Cloud Architecting
Issued May 2023
AWS Academy Data Engineering
Issued May 2023
AWS Academy Cloud Foundations
Issued Jun 2022
AWS Academy Machine Learning Foundations
Issued Jul 2022
Neural Networks & Deep Learning
Issued Aug 2022
Contact
- Email: jainamrajput.work@gmail.com
