Headline

Gen AI || Data Science || Product || Start-ups

About

I spent years teaching myself AI and data science on nights and weekends — long before anyone asked me to. Recently it paid off: my team won the Angel One WARP AI Buildathon 2026, going from a raw concept to a working AI prototype in five days. I'm a Product Analyst at Angel One, working across the full analytics stack — from data pipelines and funnel instrumentation to experimentation, statistical analysis and predictive modelling — turning large, messy datasets into the insights that shape product strategy. What interests me most is the point where analytics stops describing what happened and starts driving what happens — where AI isn't a feature bolted onto a product, but the foundation it's built on. Toolkit: Python, SQL, Spark/Databricks, Snowflake, Tableau. Machine learning, experimentation and A/B testing, statistical analysis, LLMs and AI agents. Previously: revenue planning at Myntra, product analytics at aha. BE in Electrical, Electronics & Communications Engineering and MS in Chemistry, BITS Pilani. Always glad to connect with people building seriously with AI.

Location

Bengaluru

AI stack

aistudio

anthropic apis

antigravity

claude code

codex

elevenlabs

Work experience

Product Analyst 1 at Angel One, Oct 2025 - Present · 11 mos, End-to-End KYC Funnel Ownership: Own analytics for the partial-KYC journey — stage-wise conversion, drop-off, and turnaround time (TAT). Identified high-friction stages and lifted overall KYC completion rate by ~2.5%. Experimentation: Designed and ran A/B tests across two KYC vendors to optimise application-filling flows, improving completion rate by 4–5%. Real-Time KYC Dashboards: Built and maintain 10+ Tableau dashboards tracking vendor-wise TAT, submission failures, and funnel leakage — enabling Ops and Product teams to act within T+1. Incident & RCA Analytics: Lead daily root-cause deep-dives on critical issues such as 25%+ TAT spikes and application submission failures.

Revenue Planning Analyst at Myntra, Nov 2024 - Oct 2025 · 1 yr, Revenue Planning & Forecasting: Led DoD, MoM, and YoY revenue planning for FWD by Myntra, integrating demand forecasting with inventory requirement planning. Pricing Analytics: Partnered with the Pricing team to surface data-backed pricing opportunities on private-label products, improving gross margin from 7% to 10% in three months. Style Performance & Visibility: Built style-level trackers revealing that 44% of styles lacked visibility; enabled targeted interventions with Visibility and Store teams to lift discoverability and conversion.

Business Analyst at aha, May 2024 - Nov 2024 · 7 mos, Hyderabad, Telangana, India, 1.Audience Profiling – Telugu Indian Idol S3: Analyzed viewer data from previous seasons to build a comprehensive audience profile based on demographics, engagement, and viewing behavior. Predicted subscription growth for Season 3 using advanced analytics. 2.Product Analytics Dashboard: Built a real-time dashboard to track key app metrics like DAU, MAU, error rates, and rebuffering. Enabled faster decision making and improved user experience through actionable performance insights. 3.Content Profiling & Search Analysis: Analyzed content consumption patterns and user search behavior to optimize content tagging, personalization, and discoverability across the platform.

Associate Data Scientist - Product Analytics at Zee Entertainment Enterprises Limited, Jun 2023 - May 2024 · 1 yr, Bangalore Urban, Karnataka, India, ◦ Engagement KPIs Anomalies Alert Manager: Created a dashboard & Google Cloud Dataset for Zee5’s 5 key video engagement KPIs. Enables all Zee5 teams to monitor & receive alerts for video experience on the Alert Reporting dashboard. ◦ Upgrading and Automating of Engagement KPIs Alert Reporting: Designed and developed an automated emailing system for Engagement KPIs breakdown scenario. Developed mathematical equations which helped in identifying breakdown scenarios. Upgraded the traditional Excel dashboard where data was pushed manually to an automated looker dashboard that used to refresh every 12 hours. The work which earlier required 2 hours was now completed in 10 minutes. ◦ PlayStore Negative Reviews Analysis and Dashboard: Created a monitoring dashboard for Zee5 app negative reviews. Implemented sentiment analysis & clustering for topics. Assisted customer service & engineering, reducing Oct negative reviews by 20%. ◦ Device Metadata effects on Engagement Metrics: Conducted in-depth analysis on device impact on engagement KPIs, revealing crucial insights for Ads team targeting and business decisions. ◦ AI Meme Generator: Utilized Google Cloud Vertex AI for meme caption generation & curated Zee5 show imagery for the marketing studio team @ Zee Hackathon (Prompt Play). ◦ AppDiscovery: Worked on customer profiling and identifying for user research team to increase content discovery within new users. Customer profiling helped in identifying that 1.8 percent of paid users watch content less than a minute in a month.

Data Science Intern at HERE Technologies, Jan 2023 - Jun 2023 · 6 mos, Mumbai, Maharashtra, India, ◦ Bench-marking between PostgreSQL and GeoPandas Spatial Analysis: Worked on the project where benchmarked spatial analysis methods, specifically PostgreSQL and GeoPandas. The findings revealed that PostgreSQL outperformed GeoPandas by an impressive 60 times. These findings helped tech team to make major changes in the architecture. ◦ Florida State Electric Stations Spatial Data Analysis and Dashboard: Designed and developed tableau dashboard for electric stations analysis in Florida state. Dashboard helped different clients in making key decisions such as ”opening new electric recharging station”

Education

Bachelor of Engineering - BE, Electrical, Electronics and Communications Engineering, Birla Institute of Technology and Science, Pilani

Master of Science - MS, Chemistry, Birla Institute of Technology and Science, Pilani

Public links

adityakrishna.in: https://adityakrishna.in/