Anusha Mahajan

Curious human who builds, breaks, and rebuilds things to create data-driven products that users actually love.

Delhi, India

AM

About

I build products because I like seeing ideas turn into things people actually use. From AI automations to scrappy MVPs, I’ve worked on defining KPIs, running experiments, mapping user funnels, setting up analytics, and figuring out why users do what they do. I’ve learned that great products aren’t built through big launches but through small iterations, feature prioritization, feedback loops, quick tests, and endless curiosity. What keeps me going is that mix of data, instinct, and the thrill of making something a little better every single time.

Work Experience

Fabric AI
Bengaluru, India

October 2025 - March 2026

Product Management Intern

Drove improvements in AI interview funnels by analyzing drop-offs and KPI’s via UTM data and PostHog and shipping features with developers that cut churn by 20% increasing candidate activation and interview starts. Built an internal tools like an AI-powered Slack-to-Jira issue intelligence system using 3-layer prompt pipelines (Classifier → Follow-up → Analyzer) that reduced response time from 2-3 days to <5 minutes.

Hyperleap AI
Remote

June 2025 - August 2025

Product Growth Intern

Worked on AI agent workflows, automation pipelines, onboarding flows, user funnels, KPI dashboards, and GA setup. Improved reporting efficiency by 70% through automated dashboards and feedback-driven iteration. Managed inbound funnels, PRDs, case studies, and marketing website analytics while experimenting with 10,000+ AI tools across n8n, Zapier, and custom LLM stacks.

Prana AI
Remote

March 2025 - May 2025

Product Management Intern

Built a healthtech MVP with a facial wellness scanner that delivers accurate metrics (BP, HbA1c, heart rate) in under a minute. Handled user testing, pilot tracking, feature prioritization, documentation, and third-party integrations. Collaborated cross-functionally to define success KPIs and optimize workflows — improving deployment efficiency by 25%.

Research Intern

Worked on research around the airdropping of ammunition systems, exploring parameters that impact accuracy and efficiency. Conducted detailed root cause analysis to identify process gaps and performance limits. Proposed methods to improve reliability by 25% and reduce material wastage by 30%.

Education

Indira Gandhi Delhi Technical University for Women (IGDTUW)

2022 - 2026
Bachelor of Technology, Mechanical and Automation Engineering

Skills

Product Management
User Funnels
Feature Prioritization
A/B Testing
Agile Development
Data Analytics
SQL
Python (pandas, numpy, matplotlib)
Google Analytics
Mixpanel
PostHog
UTM Tracking
Workflow Automation
Prompt Engineering
n8n
Zapier
Airtable
APIs and Integrations
GenAI Tools
OpenAI
Claude
Communication
Presentation Skills
Public Speaking
Written Communication
Verbal Communication
Listening Skills
Empathy
Collaboration
Client Management
Client Communication
Client Retention
HTML/CSS/Js
Wireframing
Stitch
Canva
Jira
Notion
Trello
Confluence
ClickUp
Slack