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  • Experience

  • Teaching Assistant

    University of Illinois Urbana-Champaign [Aug'25 - Present]

  • Data Scientist

    Mercedes-Benz Research & Development India [Aug'23 - Jul'25]
    • Developing a GenAI-powered chatbot for packaging planning, reducing manual effort by 50% through intelligent data suggestions and retrieval
    • Built an NLP-based tool to automate Engineering Change workflows, improving efficiency by 70% and ensuring structured, clean input data
    • Led development of ML-based classification for part types across carlines, automating 90% of manual efforts and improving data integrity

  • Data Engineer Intern

    Nunam [Feb'23 - Jul'23]
    • Designed PostgreSQL & Airflow pipelines automating daily ingestion of 10k+ energy data points, reducing manual processing by 80%
    • Improved ETL data quality by 60% through pandas/NumPy validation scripts for battery analytics models
    • Deployed FastAPI microservices on AWS enabling real-time data access for 5+ downstream analytics teams

  • Data Science for Social Good(DSSGx UK) Fellow

    University of Warwick, Coventry, UK [Jun'22 - Aug'22]
    • Selected as 1 of 15 fellows globally to work with Buckinghamshire Council on a data-driven social impact project
    • Developed a predictive model to identify high-risk NEET (Not in Education, Employment or Training) students, aiming to inform targeted interventions
    • Presented project outcomes at Datafest (The Shard, London) and the LDDG conference, emphasizing model impact and policy scalability

  • Research Intern

    University of California, Davis [Jun'21 - Sep'21]
    • Collaborated on a housing analytics project, applying ML models to estimate property prices and rental values based on real-world datasets
    • Conducted data cleaning, trend analysis, and generated visual reports to support actionable insights for end users
    • Assisted in improving Android app functionality by debugging UI logic and optimizing model integration
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  • Graphic Designer

    ClearExam [Nov'20 - Jan'21]

    Used Photoshop to produce quality content. I was responsible for daily design and frequently added graphic elements.

  • Python Programmer

    CodeSpeedy Technology Pvt Ltd [April'20 - May'20]

    Wrote tutorials and technical posts on Python, OpenCV, Machine Learning, and many more. You can read some of them here.


  • Education

  • MS Statistics (Analytics)

    University of Illinois Urbana-Champaign

    Batch: 2025-2027

  • B.Tech - Computer Science

    KIET Group of Institutions, Ghaziabad

    Grade: 9.3 CGPA

    Batch: 2019-2023

    University: Dr. A.P.J. Abdul Kalam Technical University

Achievements

Gold Award | Mercedes-Benz R&D India

Recognized for innovative contributions in business intelligence and GenAI applications.

Winner-Baker Hughes Challenge | TAMU Datathon

Provided KPIs & visualized correlations between compressor speed, fuel flow, carbon emissions, operating hours, power consumed, and nitrogen mole percent in fuel (among other data collected) for 200+ engines, 30+ plants, and 10+ customers using Python and PowerBI.

Runner-up | National Data Science and AI Showcase

Presented poster on the prediction of students at NEET(Not in Education, Employment or Training) risk. The Alan Turing Institute exhibited a national collection of DS&AI posters hosted by the University of Warwick and formed part of a competition in which my team won second prize receiving a £100 Love2Shop voucher.

First Prize | Hack-Star Bengaluru

Won the first prize at Hack-Star Bengaluru, which was a hackathon by Mercedes-Benz Research & Development India(MBRDI) in collaboration with Deccan Herald and received INR 2,00,000 in addition to Pre-placement Offer from MBRDI.

Best Machine Learning Hack | Grizzhacks 5

Grabbed SanDisk USB and Flashdrive as the prize for "Best Machine Learning Hack" at the Grizzhacks 5 by Oakland University.

Finalist | Toycathon'21

Project idea got selected for grand finale at Toycathon'21. Around 1.2 lakh participants from across India registered and submitted more than 17000 ideas for the Toycathon 2021.

Achiever | Eduthon

Got shortlisted in the Top 15 teams at Eduthon by IIIT Lucknow.

Microsoft Learn Student Ambassador(MLSA) | Microsoft

Part of the MLSA program where I connect and learn with students from all over the world and also host and attend technical events.

Core Lead | Innogeeks

Mentor in the Machine Learning domain at Innogeeks which is a technical club at KIET. I am also member of the Core Team of Innogeeks.

Projects

SCANR

Generates the list of students who are at high risk of being NEET(Not in Education, Employment or Training)
TechStack:
Python, PowerBI, Pandas, Numpy, DVC, Machine Learning

Sahayak

An android application that predicts depression by asking the user real-life questions.
TechStack:
Android Studio, Tensorflow, Tensorflow-lite, Machine Learning, Keras, Java, Xml

Sign Language Detection

Recognition of different sign language gestures.
TechStack:
OpenCV, Tensorflow, NumPy, Python

Selp

A flask application that predicts various mental disorders like PTSD, Anxiety, and many more.
TechStack:
Flask, Machine Learning, Python, HTML, NumPy, Pickle, Pandas

BERT Q/A Flask App

This is a flask app that performs question-answering on various pdf files.You can use bunch of pdf files and can get contextual answers, either exact or most similar, to given question.
TechStack:
Flask, Machine Learning, Python, HTML, CDQA, PyPDF2, PIL, Joblib, Pandas

Chatbot

This is a conversational chatbot which is using Intent Recognition Dataset from Kaggle.
TechStack: PyTorch, NLP, NumPy, Python