Rohan

Results-driven Product Data Analyst with a B.Tech in Computer Science (Data Science) and hands-on experience in a live B2B SaaS environment. Proven ability to bridge qualitative user behavior (UXCam, Hotjar) with quantitative data (SQL, Mixpanel, Sentry) to uncover product friction, optimize onboarding funnels, and drive feature adoption. Adept at conducting hypothesis-driven investigations, building actionable dashboards, and collaborating cross-functionally to translate raw data into measurable product improvements.

Highly disciplined and self-directed, with a strong foundation in data cleaning, exploratory analysis, and Agile workflows.

Junior Product Analyst at Riverhouse Technologies (B2B SaaS) (2026-05 – Present)

• Analyzed 1,000+ user sessions via UXCam and Hotjar, identifying critical friction points (e.g., 20s+ chat loading delays, onboarding drop-offs) and correlating frontend behavior with backend Sentry API logs to help engineering prioritize high-impact fixes.
• Conducted hypothesis-driven product investigations, translating qualitative observations into quantified business impact (e.g., identifying specific drop-off rates in onboarding) to guide Product and Analytics roadmaps.
• Investigated adoption of AI-powered features (e.g., Smart Replies); discovered through behavioral tracking that auto-popup timing caused user friction, recommending a trigger-based UI change to improve utilization.
• Identified and documented anomalous bot traffic patterns for key university clients, collaborating with DevOps to implement Cloudflare bot-protection and restore data accuracy for DAU/MAU metrics.
• Collaborated directly with Product Managers and Engineering in an Agile, Jira-driven workflow to translate data-backed findings into clear requirement documentation and actionable user stories.

Data Analyst Intern at Mu Sigma Inc. (2025-06 – 2025-07)

• Performed data cleaning and exploratory data analysis (EDA) on business datasets using Excel, SQL, and Power BI, presenting actionable insights and visualizations to cross-functional teams.

Software Intern at Infosys Springboard (2024-11 – 2024-12)

• Developed a full-stack Python application (Flask, SQLAlchemy, Pandas) for real-time weather and air-quality monitoring, applying structured data handling, database management, and Git version control in a remote setup.

B.Tech in Computer Science & Engineering (Data Science) – Shri Shankaracharya Technical Campus (2022 – 2026)