Hello, I'm Bhavay Chopra

Data Scientist & AI/ML Engineer

Passionate about building intelligent systems that bridge data, technology, and real-world impact. Experienced in LLMs, computer vision, and scalable data pipelines. Always exploring the intersection of AI and practical solutions.

Get In Touch View My Work
AI for Good
Bhavay Chopra

About Me

I'm a Data Scientist and AI/ML Engineer with a Master's Degree in Data Science from the University of Colorado Boulder. I have 2 years of hands-on experience applying machine learning and causal reasoning in real-world business settings — including building an internal A/B testing pipeline, applying uplift modeling to identify high-impact customer segments, and deploying ML models for product and operations use cases.

I thrive on solving real-world problems with data-driven solutions, and I love collaborating on projects that make a tangible impact. Let's connect and build something innovative together!

2+
Years Experience
20+
Projects
15+
Skills & Tools

Education

  • University of Colorado Boulder — MS Data Science (2023–2025, GPA: 3.93)
    Relevant coursework: Applied Statistics, Data Mining, Machine Learning, Information Visualization
  • Vellore Institute of Technology — BTech Computer Science (2019–2023, CGPA: 8.2)
    Relevant coursework: AI, ML, Image Processing, DBMS, Security, OS, Data Structures, Algorithms, Web Mining

Skills & Tools

Programming Languages

Python
R
SQL
Java

AI & Data Science

Machine Learning
Deep Learning
Computer Vision
Natural Language Processing
Generative AI
LLM
GraphRAG
Agentic AI
Fine-Tuning
A/B Testing

Data & Visualization

Statistics
Statistical Techniques
Linear Algebra
Model Building
EDA
Data Analytics
Data Visualization
Seaborn
Matplotlib
Power BI

Tools & Frameworks

TensorFlow
Keras
PyTorch
Pandas
NumPy
PyPDF
VectorDB
HuggingFace Transformers
Git
Docker
Cursor

Cloud & DevOps

Google Cloud Platform (GCP)
Azure (Azure ML Studio)
AWS
Supabase
Kubernetes
CI/CD
MLOps
ETL Pipelines

Databases

Relational Databases
MySQL

Featured Projects

LLM-Powered Market Insights Automation

Built an agentic system incorporating LLMs to automate competitive landscape analysis, uncover market gaps, and generate structured research reports.

n8n LLMs Market Analytics

Feb 2025 – Mar 2025

Enterprise Document Q&A and Summarizer Tool

Designed a RAG pipeline for a manufacturing firm to summarize lengthy technical documents and enable real-time Q&A, cutting reading time by over 60%.

LLMs RAG VectorDB Embeddings

Jan 2025 – Feb 2025

HazMate – AI-Powered Medical Waste Detection

Architected a real-time medical waste classification system using DETR and Gemini API. Automated guidance for 120+ categories, achieving 91% regulatory compliance.

Computer Vision Transformer LLMs Gemini API

Oct 2024 – Nov 2024

PyroScope – Real-Time Wildfire Detection

Engineered a wildfire detection system using YOLOv8 on satellite/UAV imagery with a Streamlit dashboard. Achieved 92% detection accuracy and 70% reduction in alert latency.

YOLOv8 Streamlit Geospatial Analytics Plotly

Aug 2024 – Nov 2024

Experience

AI Engineer

Deque Systems | Internship | Boulder, CO
Jan 2025 – May 2025
  • Engineered a modular multi-agent LLM system using Pydantic and OpenAI API, resolving 95%+ accessibility queries in under 4s and cutting manual effort by 80%.
  • Deployed CI/CD and MLOps practices to boost pipeline reliability, reducing failures by 90%.
  • Implemented topic modeling and semantic clustering on agent logs to uncover user pain points, driving 3+ product features and a 15% engagement boost.

Data Analyst

Hill & Smith Inc. | Internship | Columbus, OH
May 2024 – Aug 2024
  • Boosted supply chain planning precision by 38% and cut overstock by 25% using advanced time-series models (SARIMA, Prophet).
  • Rolled out 6+ interactive dashboards in Power BI and Excel VBA, reducing business reporting turnaround time by 80%.
  • Automated ETL workflows and standardized 1M+ ERP records via SQL and ReportsNow, improving reliability by 30%, slashing audit prep by 85%, and saving 40+ hours/week.

Data Scientist

Innominds | Internship | Bangalore, India
May 2022 – Apr 2023
  • Built a real-time Tableau dashboard on Azure to monitor 5,000+ sensor shipments, minimizing human input by 95% and boosting accuracy.
  • Developed alert pipelines from sensor data, reducing spoilage by 25% and improving shelf-life prediction (R² = 0.89).
  • Created a sensor placement recommender that raised shipment coverage from 62% to 91% and cut perishable waste by 60%.

AI Researcher

Shiv Nadar University | Internship | Remote, India
Aug 2022 – Jan 2023
  • Trained a GAN-based model on Ego4D, reaching 72.3% accuracy in human action recognition.
  • Enhanced action anticipation by applying temporal attention and video-audio fusion, improving F1-score by 18% and overall performance by 22%.
  • Applied knowledge distillation to cut inference latency by 45% while preserving 68% accuracy.

Let's Connect

Ready to Collaborate?

I'm always excited to discuss new opportunities and collaborate on innovative projects. Let's talk about how we can create the next big thing together.

bhavay.chopra7@gmail.com
+1 720-252-1914
github.com/BhavayChopra
LinkedIn