Skills Experience Projects Certifications Contact
Open to APM & Product Strategy Intern Roles — CPT Ready May 2026

From Breaking
Products to Building Them

3+ years in QA taught me exactly how products fail. MS Data Science at UT Arlington gave me the analytical edge. Now I'm stepping into product — owning the full cycle from user insight to shipped feature.

View My Work LinkedIn →
0
Years in Product Cycle
0
Open Source PRs Merged
0
Products Shipped
0
B2B SaaS Pricing Built
// What I Bring

Skills & Tools

🎯

Product Management

Product Strategy Go-to-Market Pricing Models User Story Mapping PRD Writing Roadmapping OKRs RICE JTBD
Product Strategy82%
Go-to-Market78%
🛠

PM Tools & Collaboration

Jira Notion Figma Miro Confluence Linear Amplitude Loom Postman
Agile / Scrum88%
Stakeholder Management85%
📊

Data & Analytics

Python SQL Pandas A/B Testing Tableau Power BI Scikit-learn Data Storytelling
Data Analysis92%
Metrics & Dashboards86%
🧠

AI & Generative AI

Claude API OpenAI API Prompt Engineering RAG LangChain HuggingFace AI Product Strategy LLM Apps
LLM Applications85%
AI Product Strategy80%
// Career Path

Experience

Oct 2021 – Nov 2024
QA Engineer → Software Engineer Intern
Wingman Partners · Noida, India
  • Owned end-to-end quality strategy across 3 major product releases — defining test coverage, acceptance criteria, and release readiness in direct partnership with PMs
  • Identified 200+ critical bugs across web and mobile products before production, reducing post-release defect rate by ~30% — acting as the last line of product defense
  • Participated in sprint planning and requirements grooming, regularly flagging product gaps and UX issues before they reached engineering — the core habit of a product thinker
  • Built automation frameworks (Selenium, Jira) cutting regression cycle time by 40%, freeing sprint capacity for new feature work
  • Translated complex user flows into structured test scenarios — a direct precursor to user story writing and product thinking
  • Led cross-functional coordination across design, engineering, and QA for release planning and sign-off
// Academic Background

Education

Jan 2025 – Dec 2026 · GPA 3.67
M.S. in Data Science
University of Texas at Arlington
  • Coursework: Machine Learning, Reinforcement Learning, Statistical Methods, Database Systems, Data Visualization
  • AWS GenAI Hackathon — 2nd Runner-Up (Texas Universities)
  • Speaker — UTA Business Analytics Symposium 2026 (GenAI ROI Analysis)
  • 5 merged PRs to Microsoft's open source agent-governance-toolkit
  • Built Adaptive AI Study Tutor using Reinforcement Learning + Claude API, deployed on Streamlit
2018 – 2022
B.Tech in Computer Science & Engineering
UPTU Lucknow
// Featured Work

Projects

Product Strategy · B2B SaaS

B2B SaaS Pricing & Go-to-Market Strategy

Designed a multi-tier pricing framework and go-to-market positioning for an early-stage B2B SaaS platform. Conducted competitive analysis, defined customer segments, and built onboarding workflows to improve activation. The startup was accepted into a NYC Spring 2026 accelerator during this engagement.

Pricing StrategyCompetitive AnalysisB2B PositioningOnboarding DesignSegmentation
3
Pricing Tiers
NYC
Accelerator
B2B
SaaS Focus
Data Analysis · Product Insight

GenAI ROI Analysis

Analyzed Stack Overflow 2024 Developer Survey data to quantify the business ROI of GenAI adoption across roles and industries. Presented at UTA Business Analytics Symposium 2026. Packaged as a full reproducible GitHub repository.

PythonPandasMatplotlibData StorytellingGitHub
2026
Symposium Talk
Public
GitHub Repo
Open Source · Microsoft

agent-governance-toolkit Contributor

Active contributor to Microsoft's open source agent-governance-toolkit. Contributed governance frameworks, policy templates, and documentation for AI agent systems. Published Dev.to articles on each contribution reaching the broader developer community.

MicrosoftGitHubAI GovernanceOpen SourceDev.to
5
PRs Merged
Microsoft
Repo
Reinforcement Learning · LLM

Adaptive AI Study Tutor

Intelligent tutoring system using UCB1 Multi-Armed Bandit RL and Claude AI to dynamically personalize learning paths. Features real-time MCQ generation, adaptive hints, gamification, and a full analytics dashboard. Deployed live on Streamlit Cloud.

PythonRL (UCB1)Claude APIStreamlitSQLite
18
Config Arms
Live
Deployed
Full-Stack
App
ML · Supervised Learning

Health Center Attrition Predictor

End-to-end ML pipeline predicting employee attrition with 87% accuracy. Includes EDA, feature engineering, and model comparison across Random Forest, Logistic Regression, and XGBoost with GridSearchCV tuning.

Scikit-learnXGBoostPandasGridSearchCVMatplotlib
87%
Accuracy
1,400+
Records
3
Models
Unsupervised Learning · Business Insight

Customer Segmentation Engine

K-Means clustering pipeline with Elbow Method and Silhouette Score optimization identifying 4 distinct customer segments. Delivered actionable marketing recommendations with PCA-based visualizations — directly applicable to product positioning.

K-MeansPCAScikit-learnSeabornNumPy
4
Segments
PCA
Dim. Reduction
// Credentials

Certifications & Achievements

📜

Google Data Analytics Professional Certificate

Google — Coursera

✅

ISTQB Certified Tester – Foundation Level

International Software Testing Qualifications Board

🏆

2nd Runner-Up – AWS GenAI Hackathon

Texas Universities Competition

🎤

Speaker – UTA Business Analytics Symposium 2026

University of Texas at Arlington

🌐

Microsoft Open Source Contributor

agent-governance-toolkit — 5 Merged PRs

🚀

FoundersBoost NYC Spring 2026

Product Strategy Contributor — Accelerator Portfolio Company

// Let's Connect

Get in Touch

Targeting APM, Product Strategy Intern, and AI PM roles for Summer 2026. CPT eligible from May 2026. Let's talk about what I can build for your team.

kanishtyagi123@gmail.com LinkedIn GitHub Portfolio
👁 — views