
Marketing Analytics & Campaign Optimization
Attribution modeling across 10+ touchpoints, marketing-mix ML, automated CTR/CPA/ROAS/LTV reporting, and lead-scoring models improving ROI by 78%.

About me
Hi, I'm Rachit Singh — a Computer Science student and software developer passionate about data-driven, innovative web applications. I work across full-stack development, machine learning, and analytics to solve real-world problems through technology.
Great software is about more than code — it's about intuitive experiences and meaningful value. Whether building a web app, ML model, or analytics platform, I bring user-centered thinking and a commitment to excellence to every project.
Featured work
Work that blends analytics, ML, and UX to solve real problems end-to-end.

Attribution modeling across 10+ touchpoints, marketing-mix ML, automated CTR/CPA/ROAS/LTV reporting, and lead-scoring models improving ROI by 78%.

AI-powered career counselling platform with Gemini-driven recommendations, student-focused UX, chatbot answers, and responsive Next.js/Tailwind architecture for 1000+ concurrent users.

Deep-learning pipeline with CNN/U-Net for terrain classification at 92% accuracy, remote area analysis using pre-trained models plus augmentation and transfer learning.
Experience
Working closely with design, product, and data partners — from backend to frontend.
Software Development Intern — Remote
Expertise
Technologies I use to build data-driven, scalable web products.
Thoughts & writing
Notes on building products, scaling teams, and front-end craft.
Let's build
Tell me about your goals and timelines — I can help scope, design, and deliver data-driven experiences that fit your roadmap.