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Jithendra Puppala

Jithendra Puppala

(he/him)

M.S. Computer Science | Data Scientist

New York University

Professional Summary

Download CV

Hi! I am Jithendra Puppala, a Data Scientist with 2+ years of industry experience at Jio Platforms, developing and deploying ML models that improved precision/recall by 25%+ and scaled to 150K+ IoT devices. Currently pursuing an M.S. in Computer Science at NYU, focusing on Machine Learning, Computer Vision, and Data Science. Seeking a Summer 2026 Data Science/AI/ML internship to apply expertise in modeling, deployment, and scalable analytics.

Education

Master of Science - Computer Science

New York University, New York

September 2025 – Present

Bachelor of Technology - Computer Science

NIT Karnataka, Mangalore, India

July 2019 – May 2023

Experience

Data Scientist

Jio Platforms Limited

June 2023 – July 2025

Improved the cattle heat detection precision from 68% to 91% and recall from 76% to 95% by developing ML models from scratch.

Advanced Application Engineering Analyst Intern

Accenture

June 2022 – July 2022

Conducted a comprehensive observability study to improve monitoring, performance, and reliability across enterprise applications.

Featured Projects

A comprehensive object detection system implementing YOLO (You Only Look Once) algorithm combined with DeepSORT tracking for real-time multi-object tracking and detection in video streams. Features include pedestrian detection, vehicle tracking, and customizable object classes with high accuracy and performance.

Python, YOLOv8, DeepSORT, OpenCV, PyTorch, Computer Vision, Object Tracking

Mixmatch (PyTorch)

Implemented semi-supervised learning with the MixMatch algorithm on a custom 500 image dataset.

PyTorch, Python, Semi-supervised Learning

Library Management

Web-based system with Django, featuring book search, issue tracking, user authentication, and admin dashboard controls.

Django, Python, PostgreSQL, HTML, CSS

Interests & Focus Areas

Before NYU, I worked as a Data Scientist at Jio Platforms Limited, where I led the development and deployment of machine learning models for time-series cattle heat detection systems. My work directly contributed to a 4x increase in revenue through smarter agricultural technology.
My technical experience spans:
- Building and optimizing production ML models
- Designing and deploying REST APIs using Flask
- Working with time-series data, semi-supervised learning, and ARIMA models
- Collaborating with teams to ship analytics dashboards
Beyond tech, I am passionate about ethical AI, tech-enabled social change, and mentoring student developers. I have served as a Campus Director for the Millennium Fellowship and led inter-NIT workshops focused on student leadership and innovation.
Currently, I am looking for Data Science Internship opportunities for Summer 2026 where I can apply my skills, curiosity, and values to make meaningful contributions.
Please reach out to collaborate

Machine Learning Ethical AI Social Impact Student Leadership Open Source