Atharva Yeola
Machine Learning Data Scientist
A data scientist with expertise in analytics, decision science, machine learning, and LLMs.
Published researcher in JAMA Internal Medicine with work featured in NPR, CBS, NBC, and New York Post.
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Analytics Engineer / Data Engineer
Building robust data pipelines and scalable infrastructure
Data Scientist
Creating ML models and driving insights from data
AI/ML Engineer
Deploying production ML systems and intelligent agents
Data / Product Analyst
Uncovering business insights through analytics and visualization
Publications & Achievements
Research and contributions featured in major publications
Original Investigation in JAMA Internal Medicine
Our study titled "Growing Health Concern Regarding Gambling Addiction in the Age of Sportsbooks" was published in JAMA Internal Medicine. This research examines the association between the legalization of sports betting in the U.S. and the increase in gambling addiction help-seeking behaviors.
Growing Health Concern Regarding Gambling Addiction in the Age of Sportsbooks →Launch of HIVTrends.org
Collaborated on the development of HIVTrends.org, a platform providing public, real-time, and validated HIV testing sales trends from search query surveillance. This project aims to enhance public health monitoring and response strategies.
HIVTrends.org →Research Study at IEEE Xplore (CVMI 2024)
Our paper titled "Enhancing Traffic Sign Recognition: A Deep Learning Approach for Occluded Environments" was published in IEEE Xplore and presented at the 3rd IEEE CVMI 2024 conference.
Enhancing Traffic Sign Recognition: A Deep Learning Approach for Occluded Environments →Skills
- Python
- SQL
- Spark
- AWS
- Docker
- LLMs
- PyTorch
Blogpost
Optimizing Neural Networks: Pruning and Quantization Techniques
This blog covers advanced techniques to optimize neural networks, focusing on pruning and quantization. Learn how these methods can reduce model complexity and improve performance.
Read MoreAugust 10, 2024
A Beginner's Guide to PyTorch: Building Your First Neural Network
An introductory guide for beginners to PyTorch. This blog walks you through building your first neural network, making it perfect for those new to deep learning.
Read MoreJuly 25, 2024