Professional Summary
Download CVHi! 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 (GPA: 3.67)
New York University, New York
September 2025 – Expected May 2027
Bachelor of Technology - Computer Science
NIT Karnataka, Mangalore, India
July 2019 – May 2023
Experience
Lead Data Scientist
New York University
January 2026 – Present
Translating the Office of Faculty Affairs Workflow at New York University with automation and AI integration
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
Investigated neural scaling laws on symbolic music by training 9 decoder-only Transformer and LSTM models (844K–201M parameters) on 100M+ tokens of ABC notation from 54K+ folk tunes
Ranked 1st in the Kaggle competition by achieving 96%+ accuracy on US state classification with a 7-model ensemble strategy
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.
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