Ankit Tripathi

I’m a Software Engineer focused on turning messy inputs into reliable, business-ready data products. I build automation tools, validation rules, and analytics-ready datasets that reduce manual effort and improve tracking accuracy.

At Indegene, I developed a Python/Streamlit automation tool to generate and validate UTM tracking URLs from CSV/Excel campaign files, cutting manual review time by ~70% across 25+ campaigns per month. I also engineered a rules engine with 15+ UTM and data-quality checks, reducing campaign-tracking errors by ~85% and standardizing compliance across marketing teams.

I designed an end-to-end multi-agent pipeline with CrewAI that ingests JSON, converts to CSV, loads to database tables, and runs automated cleaning, standardization, and 20+ business-rule DQ checks. The result is a validated dataset with ~98% accuracy across 5,000+ records per run.

I enjoy building interfaces that make data actionable. I created SQL view tables powering a Streamlit dashboard for campaign insights, enabling self-serve reporting and eliminating ~8 hours of manual analysis per week, and I’ve also worked as a Full Stack Developer Intern integrating AI-powered experiences.