I build things end to end — from gathering requirements to shipping production systems. Whether it's a data pipeline, an analytics dashboard, or a full-stack app, I own the whole picture.
ABOUT ME
Hi! I'm Navneeth — I spent 24 years in Bengaluru, finished my schooling from Kendriya Vidyalaya, two degrees from Christ University, and my first two jobs there. Now I'm based in Dubai with family, exploring what's next.
I've bounced between full-stack development, business analysis, data engineering, and AI/ML — not because I couldn't pick one, but because I like understanding the full picture. I lean towards technofunctional roles where I'm not just writing code in a corner — I want to be in the room with the client and the codebase.
My ideal split? 60% technical, 40% people.
My Royal Enfield Interceptor 650 through Ooty, Mysore, Coorg, and Wayanad. The Western Ghats are my reset button.
Football when I can, gaming when I can't.
I cook and experiment — the kitchen is just another lab.
I tinker with open-source tools, self-host alternatives, and stay hands-on with DIY projects.
"To obtain, something of equal value must be lost." — The Law of Equivalent Exchange : Fullmetal Alchemist. I believe in earning what you get.
SKILLS
Tools and skills across business analysis, data, and engineering — the full stack of getting things done.
Business Analysis & Requirements
Data Analysis & SQL
Frontend & Visualization
Backend & APIs
Machine Learning & AI
Cloud & DevOps
Tools & Documentation
EXPERIENCE
From autonomous fleet ops to ERP systems — each role taught me something different.
EDUCATION & CREDENTIALS
MSc in Data Science plus professional certifications to stay current across data, business analysis, and security.
Master of Science in Data Science
Christ University, Bengaluru · 2022 – 2024
Bachelor of Science in Computer Science, Mathematics & Statistics
Christ University, Bengaluru · 2018 – 2021
PROJECTS
From research papers to production systems — work I've shipped end to end.
Published in IEEE: Comparative performance analysis of CNN architectures (VGG16, Parallel CNN, ResNet) for stellar-galaxy classification. Designed full pipeline: data preprocessing, feature engineering, model training with hyperparameter tuning, and comprehensive performance evaluation across architectures.
Real-time operations dashboard for 50+ autonomous robots. Led analytics design from stakeholder interviews to KPI definition. Built 10+ interactive visualizations in React; optimized MongoDB pipelines to reduce report latency by ~35%.
Migrated 40+ users from paper to digital: gathered business requirements, designed normalized MySQL schema, built Node.js REST APIs, and deployed on AWS. Led UAT and change management to ensure adoption.
End-to-end deep learning pipeline for breast cancer classification: EDA on medical imaging datasets, preprocessing, CNN training with TensorFlow/Keras, model evaluation, and stakeholder-ready visualizations.
GET IN TOUCH
Looking for BA, DA, or AI/ML roles — or just want to talk shop. Always happy to chat.