01 / Story
Bridging the gap between Software Engineering and Machine Learning insights.
Based in India, I am a dedicated Data Scientist with a background in CMS development. This unique hybrid experience allows me to build ML models that aren't just accurate, but architecturally sound and production-ready.
I specialize in Python, Pandas, and Scikit-learn, with a focus on designing scalable, end-to-end solutions. I bridge the gap between heavy data logic and clean, usable software architecture.
02 / Expertise
Core Intelligence
AI & Machine Learning
Designing complex predictive engines and classification structures.
Neural Networks
Deep Learning
Building powerful ANN and CNN architectures.
Infrastructure
MLOps
Architecting scalable production pipelines and CI/CD.
Foundation
Engineering
Bridging data logic with clean software systems.
The Future
Generative AI
Specializing in RAG and Vector search systems.
Insights
Analytics & Viz
Translating raw data into impactful business stories.
03 / Selected Works
AeroPrice B2B Suite
Scalable B2B framework for automotive dealerships, enabling vectorized predictions on 10K+ inventory records via FastAPI with sub-150ms latency.
InsureTech 360 Dashboard
AI platform modernizing claims through Computer Vision and RAG, featuring a production-grade MLOps ecosystem and automated CI/CD for seamless deployment.
FairStay Intelligence Suite
Production-grade real estate platform featuring an XGBoost price prediction engine and a RAG-powered system for natural language property search.
Olist Ecom Optimization
AI-driven analytics suite optimizing e-commerce growth via RFM clustering and predictive modeling, integrated into an automated modular business dashboard.
04 / Professional History
KrishaWeb
Web Developer
- Scalable CMS Engineering: Built high-performance, responsive CMS components, prioritizing maintainability and accessibility.
- AI-Driven Personalization: Integrated AI capabilities and store analytics to enable personalized recommendations and search relevance.
- Quality & Stability: Delivered platform robustness through rigorous testing and iterative performance refinements.
- Cross-Functional Delivery: Partnered with teams to implement data-intensive CMS features and seamless analytics integration.
- Technical Documentation: Institutionalized structured documentation and workflows to drive team alignment and scalable practices.
- Performance Optimization: Monitored application metrics and trends to drive data-backed system enhancements.
KrishaWeb
Trainee – Web Development
- Responsive UI Development: Delivered high-performance interfaces while optimizing assets and load efficiency.
- Code Quality Excellence: Adhered to structured coding standards and version control best practices for maintainable codebases.
- Collaborative Engineering: Partnered with senior engineers on code reviews and requirements to foster a feedback-driven culture.
- Data-Driven Enhancements: Integrated performance tracking mechanisms to drive improvements in application usability.
05 / Academic Foundation
Bachelor of Engineering – Information Technology
Gujarat Technological University
06 / Technical Validations
Data Science With Generative AI
PW Skills & PricewaterhouseCoopers (PwC) • 2026
Artificial Intelligence Foundations Machine Learning Certification
LinkedIn Learning • 2026
BCG X GenAI Certification
BCG X • 2026
Data Visualization Using Python
IBM • 2026
Data Analytics Essentials
Cisco • 2024
Claude Code in Action
Anthropic • 2026
07 / Collaboration
Direct Inquiry
kunalbaghel.cv@gmail.comKUNAL
BAGHEL
Architecting scalable intelligence at the deep intersection of Engineering and Data Science.