Jainam Rajput

Machine Learning Engineer, Data Scientist

Skills

  • Programming Languages: Python, SQL, R, Javascript
  • Analytics and ML: NumPy, Pandas, TensorFlow, Scikit-learn

Tools

  • Database Tools: SQL Server Management, MySQL, MongoDB
  • Visualization Tools: Tableau, Python Libraries, PowerBI
  • Automation: Selenium

Software

Jupyter, VS Code, Microsoft Office

Domains

Data Science, Machine Learning, Natural Language Processing

Resume

Currently seeking: Summer internships in Data Science, Data Analysis, Machine Learning, and AI where I can contribute my skills and passion for cutting-edge technology.
About me

Hello! I'm Jainam, a graduate student at the University of Illinois - Urbana Champaign, specializing in Machine Learning and Artificial Intelligence. With a strong foundation in Computer Science and Engineering from the University of Mumbai, I'm passionate about pushing the boundaries of Generative AI and Data Science.

Currently, I'm interning at Deloitte as a Data Science Intern, working on AI-powered solutions within the Audit & Assurance domain.

Patent Holder:Led the only team in my cohort to secure a patent for "Intelligent Fruit Freshness Grading"

Published Researcher: Authored a paper on "A Deep Learning Based Method for Classification of Indian Birds Species"

Diverse Project Experience: From computer vision to natural language processing, I've tackled a wide range of ML challenges

Continuous Learner: Always eager to explore new technologies and methodologies in the rapidly evolving AI landscape

My journey in tech began early, and I've since honed my skills through various projects and internships. I bring a unique blend of theoretical knowledge and practical experience to every challenge I face.

When I'm not coding or exploring datasets, you might find me strumming a guitar, diving into a good book, or enjoying a game of cricket or table tennis. I believe in the power of diverse experiences to fuel innovation and creative problem-solvings and challenges.

Education

Master of Science in Information Management

August 2024 -May 2026
GPA: 4.00

Bachelor of Technology in Computer Science and Engineering

2020 - 2024
CGPA: 9.47

Work Experience

Deloitte & Touche LLP

Data Science Intern

June 2025 - Present

National Center for Supercomputing Applications

Graduate Student Researcher

January 2025 - May 2025

Nimbusnext Technologies

Machine Learning Intern

June 2023 - September 2023

Ozibook Technologies

Data Analyst Intern

November 2022 - February 2023
Positions of Responsibility

Technical Vice Chairperson, 2021-2023

Mumbai, India

Technical Co Committee Member, Robotic and Automation Society, 2021-2022

Mumbai, India

Projects

Enhancing Logistic Delivery Strategies with Monte Carlo Simulation

Compared delivery strategies across 2 hypotheses, reducing computational time and handling large-scale route optimizations, across a delivery window.

Fueling Foresight: Predictive Analytics for the Fuel Futures Market

Conducted statistical and predictive analysis using ANOVA and time series modeling methods to analyze relationships between commodity closing prices and volatility.

Walmart Sales Performance Analysis & Forecasting

Created interactive Tableau dashboards visualizing key performance metrics across 45 stores, facilitating real-time sales trends and markdown effectiveness monitoring.

Advanced RAG Chatbot for Enterprise Environment

Composed an advanced RAG enterprise chatbot that is effective in providing faster responses at lower computational costs.

Canopy: Data-Driven Farming Insights for Smarter Decisions

Designed an application for farmers to get insights from NASA EO data by providing trend analysis and reducing decision making time by 30% for farmers with development of AI utilities.

Effective Targetting of Advertisements

Developed a machine learning algorithm to predict whether a user will be interested in an advertisement or not, thereby avoiding costly spending on uninterested audiences.

FreshScan+ Intelligent Freshness Grading and Expiry Date Recognition System

Developed two innovative approaches for assessing fruit freshness and detecting the expiry date of packaged food products using Computer Vision Technique

EthAnalytics: Real-time-Ethereum-Analysis

Developed an innovative solution capable of handling large data volumes, showcasing the importance of modern big data tools and techniques for efficient data management and analysis.

Log Anomaly Detection

Developed a robust system to detect anomalies in logs deposited by softwares using Machine Learning, Deep Learning, and Natural Language Processing Techniques.

Publications

Research Paper published in 14th ICCCNT Conference 2023, IEEE Xplore

A Deep Learning Based Method for Categorization of Indian Birds Species

Patent, 2023/04889, granted on 20th December, 2023

A system for evaluating the fruit's freshness using machine learning techniques.

Medium Blog

From Confusion to Clarity: How AI Can Revolutionize Your Literature Review Process

Achievements

NASA Space Apps Challenge Chicago

Judge's Choice Award

Delivered a solution to enhance the agricultural decision making experience for farmers by focusing on simplified user interface and AI utilities integration

Certifications

Fundamentals of Accelerated Computing with CUDA Python

Issued March 2024

AWS Academy Cloud Architecting

Issued May 2023

AWS Academy Data Engineering

Issued May 2023

AWS Academy Cloud Foundations

Issued June 2022

AWS Academy Machine Learning Foundations

Issued July 2022

Neural Networks and Deep Learning

Issued August 2022