Anwesha Gupta — Product Strategist & Builder

A little more about me

Not your typical PM.

I started my career shipping C# APIs on the .NET framework and writing Python scripts to automate backend systems. While fixing a production level bug (a simple regex mismatch!) at dawn, I realized I cared more about why we were building things than how. That shift from engineering to product management wasn't a pivot. It was an evolution. I wanted to understand the full picture: the data, the user, and the business case behind every decision.

What makes me different? I don't just spec products. I build them. I've deployed landing pages, set up GA4 tracking, written API integrations, and built dashboards with synthetic data when the real data wasn't clean enough. I believe the best product people understand the stack they're building on.

When I'm not building, you'll find me exploring an entire world of cuisine, getting heavily influenced by social media to try yet another matcha spot (yes, I wrote an entire essay about it), and having an absolute blast 3x-ing my productivity with AI tools and automation.

Work

Things I've built.

Not mockups. Not hypotheticals. Real systems, deployed and running.

● Live Project

AI Automation - Marketing Analytics

An end-to-end AI-powered marketing analytics dashboard built around TalentFlow, a B2B SaaS talent assessment platform modeled after companies like TestGorilla. From a custom landing page with GA4 + GTM tracking, to a 21,346 row synthetic dataset, to an AI insights pipeline that turns Claude API outputs into structured Looker Studio tables.

Dashboard
pages

21K+

Synthetic
data rows

Custom GTM
events

GA4GTMLooker StudioClaude APIGoogle Apps ScriptNetlify

View Landing Page →View Dashboard →GitHub →

● Live Project

AI Automation - Payment Recovery

An AI-powered payment recovery workflow. Stripe captures payment failures, n8n orchestrates webhooks, Claude API performs risk analysis and drafts recovery emails, HubSpot manages contacts, and Slack gets real-time alerts. End-to-end automation for revenue recovery.

50+

Simulated failure
scenarios

Output
channels

Integrated
services

Stripen8nClaude APIHubSpotSlackGoogle Sheets

View on GitHub →

● Live Project

LLM Knowledge Engineering - Payments Intelligence

Inspired by Andrej Karpathy's LLM Wiki pattern. Ledger compiles raw sources from Visa, Mastercard, and Stripe into a structured, interlinked knowledge base for payments teams. Unlike static wikis or basic RAG, Ledger uses Claude API to incrementally compile, cross-reference, and maintain a living wiki where every concept links to every related rule, code, and process. The result: a payments ops person, compliance lead, or PM can trace "this Visa mandate affects this payment flow, which triggers this compliance requirement, which connects to these chargebacks" in seconds.

10+

Raw sources
ingested

Card networks
covered

Article types
in schema

PythonClaude APID3.jsReactNetlifyKnowledge Graphs

View Live Site →Read on Medium →GitHub →

Cinema Through the Years

A Tableau storybook analyzing domestic and international gross earnings of American films over time using data wrangling techniques. Explores global trends, director patterns, and the rise of movie popularity across countries and languages.

TableauData AnalysisData Visualization

View Project →

Crime Pattern Prediction

Exploratory analysis of 2021 Denver crime statistics identifying recurring patterns and trends, with a focus on understanding the impact of COVID-19 and the MeToo movement. Used Adaboost classifier model to estimate likelihood of potential crimes using real-time locations.

PythonMLAdaboostData Analysis

View Project →

CoffeeHouse DBMS

A SQL database system designed for a coffeehouse chain, handling inventory management across multiple locations with SMS gateway integration for personalized customer engagement and targeted advertisement delivery.

SQLDatabase DesignSMS Integration

View Project →

How I work

Build it like you own it.

I don't hand off specs and walk away. I stay close to the data, close to the tools, and close to the outcome.

Understand the Problem

Talk to stakeholders. Dig into data. Identify what's actually broken versus what people think is broken.

Map the System

Architecture first. What tools exist? What connects to what? Where does data flow and where does it break?

Build. Test. Ship.

Do the simple thing that works. Get it live, get it in front of people, get real feedback. Perfection is the enemy of shipped.

If You Can't Measure It, You Can't Improve It.

Dashboards that tell the truth. Insights pipelines that surface what matters. Course correct based on what the numbers actually say, not what feels right.

Build Guardrails.

Now that we're using AI, the game has changed. Automate intelligently, but always build the guardrails. Compliance, accuracy, and human oversight aren't optional.

Experience

Where I've worked.

Consultant (Data and AI)

zerOxception

On-site

Jan 2026 – Present

Acting as AI consultant, designing automated notif...

Acting as AI consultant, designing automated notification systems for API failure detection and escalation workflows
Building LLM-powered knowledge base as single source of truth for product requirements across teams
Architecting AI-powered payment recovery pipelines with risk scoring and real-time alerting

Technical Business Analyst / Product Manager

Afficiency

New York City Metropolitan Area

Apr 2024 – Oct 2025

Scaled product from 100-agent pilot to 5,000+ agen...

Scaled product from 100-agent pilot to 5,000+ agents across multiple locations with 40% fewer regression bugs
Discovered 38% merchant onboarding drop-off via SQL funnel analysis, shipped A/B test that improved conversion from 62% to 78%, generating $800K in additional ARR
Owned product discovery through 40+ merchant interviews, shipped AI-powered notification system that increased DAU 20% and reduced support inquiries 28%
Mentored all incoming team members as primary onboarding lead, accelerating ramp time across the organization

Technical Product Management Intern

Snyder Tech

Remote

Jun 2023 – Aug 2023

Drove product roadmap execution through async coll...

Drove product roadmap execution through async collaboration, writing user stories with clear acceptance criteria
Delivered 8% efficiency improvement in feature delivery while navigating evolving stakeholder priorities

Graduate Research Assistant

University of Maryland

Maryland, United States

Feb 2023 – Jun 2023

Managed a team of 8, conducted statistical analysi...

Managed a team of 8, conducted statistical analysis (regression, hypothesis testing, sampling) with 78% success rate
Oversaw project monitoring processes ensuring on-time delivery

Technology Analyst

Infosys

On-site

Oct 2021 – Jun 2022

Managed release lifecycle for 50+ deployments, imp...

Managed release lifecycle for 50+ deployments, improving system uptime from 98.2% to 99.7% and reducing error rates by 40%
Led UAT across 200+ test scenarios, reduced post-launch issues by 60% and improved release quality scores from 78% to 94%
Architected platform with 860+ RESTful APIs in C# and .NET Core, handling 2M+ transactions monthly

Software Engineer

Novac Tech

India

2018 – 2019

Optimized data processing bottlenecks affecting 2M...

Optimized data processing bottlenecks affecting 2M+ daily records, improving system efficiency by 50%
Built automated solutions using Python and SQL, improving data accuracy from 92% to 99%

Education

Where I learned.

Master of Science in Information Systems

University of Maryland, Robert H. Smith School of Business

United States

Information and Telecommunication Engineering

SRM University

India

Beyond work

The human bits.

💻

Conference Circuit

Grace Hopper Celebration attendee in Orlando. AI Summit attendee in NYC. Always learning, always connecting, always in the front row.

🗽

NYC Explorer

Been to every hidden and mainstream skyline view found over the Internet. Yes, the city has the world's best pizza. And yes, standing in line for 40 minutes at a trending ice cream shop is absolutely a hobby.

🍵

The Matcha Essay

I fell down the matcha rabbit hole and did what any reasonable person would do. Wrote an entire Medium essay about it. Part love letter, part cultural deep dive.

Read on Medium →

Currently reading

Inspired by Marty CaganStorytelling with Data by Cole Nussbaumer KnaflicThe Psychology of Money by Morgan Housel

I build the
systems behind
smart products.

Not your typical PM.