Swati Iyer | Product & Analytics

> who are you?

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Hi, I’m

SWATI

Product Manager · Product Analytics · User Research

I’m a PM who thinks in metrics first, using user research, analytics, and experimentation to turn ambiguity into product decisions.

View Case Studies Resume

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PM · Analyst · Researcher

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research/ analytics/

python/ sql/

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onboarding/ conversion/

experimentation/

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shipped-0-to-1-products/

built-analytics-infrastructure/

users-to-product-decisions/

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About

I'm the person who asks "what does the data say" before anyone starts building.

I studied Cognitive Science and Computer Science at UC Davis, where I spent two-plus years doing research, building data pipelines in Python and SQL, and presenting findings to cross-functional teams.

Now I work across product and analytics: setting up KPI frameworks and tracking adoption at Digo, running competitive analysis and building conversion dashboards at Giri Inc., automating finance workflows at Opsfinity, and driving A/B tests at TechEquity AI.

I like working at the intersection of data and product decisions. I’m especially drawn to PM and analyst roles where strong decisions come from strong signals.

Swati at UC Davis graduation

01

Explore My Work

~/swati/explore

7 items

Scam Shield AI

PRD Generator

Recipe Gen

Segmentation ML

Password Gen

Network Security

Sonar

01 · Snapshot

Impact Snapshot

Onboarding, conversion, experimentation, and privacy-focused product decisions across recent PM and research work.

02 · Process

How I Work

Research, structure, and measurable iteration to turn ambiguity into product decisions.

03 · Toolkit

Toolkit

Capability-based view of the SQL, KPI, dashboard, and mixed-method work behind product decisions.

04 · Credentials

Credentials

Formal training that complements hands-on work across product, research, analytics, and AI.

Impact Snapshot

Numbers from recent work

Key outcomes across product, research, and design roles.

Digo

40% less manual event setup time for pilot users after MVP launch.

UC Davis Research

50% faster research turnaround after building automated anonymization pipelines.

Giri

Checkout friction cut from 7 steps to 3. Analytics framework tracking 8 KPIs.

UC Davis Research

95% accuracy on intrusion detection benchmark. Findings adopted into departmental security guidelines.

How I Work

From ambiguity to shipped product

My process is research-first, then structure, then build and measure.

1

Talk to users. Interviews, surveys, watching people actually try to do the thing.

2

Map the problem. Competitive analysis, workflow mapping, identifying where friction lives.

3

Scope and prioritize. RICE scoring, PRDs with data-backed specs, cutting scope until the MVP is sharp.

4

Build and test. Sprint planning, Figma prototypes, iterative testing with real users.

5

Measure and iterate. KPI dashboards, usage analytics, then back to step 1.

Tools that support this: Figma, Notion, Python, SQL, QuickSight, A/B testing frameworks

Toolkit

What I actually use day to day

Grouped by what the tools help me do, not just what they are.

Data and Analytics

Python, SQL, Pandas, NumPy, QuickSight, Alteryx, Excel. Pipeline automation, A/B testing, KPI dashboards.

AI and ML

ML pipelines, NLP, intrusion detection, data anonymization, LLM API integration.

Product and Research

User interviews, competitive analysis, RICE prioritization, PRD writing, Agile/Scrum, stakeholder management.

Engineering

TypeScript, Go, Java, C/C++, JavaScript, React, Angular, Git, Figma, Notion.

Credentials

Formal training that supports the hands-on work

Formal training that complements my hands-on work across product, research, analytics, and AI.

Google Project Management Google

Google UX Design Google

Microsoft Product Management Microsoft

Google AI Essentials Google

02

Selected Work

2025

KeepSake

Designed a family archive app that balances secure document storage with memory-keeping, after synthesizing 60 survey responses and 15 interviews into a six-week product sprint.

Read case study →

KeepSake app screens and family archive interface

KeepSake personas and user-needs slide

2026

Digo

Defined KPI tracking for MVP launch, monitored engagement and feature adoption in Notion, and translated user research into roadmap priorities and ML-informed product decisions.

Read case study →

Digo event listing interface with upcoming AI events

Digo event detail and organizer dashboard view

2026

Pulse

Designing and building an AI analytics copilot that helps product teams at startups ask questions of their data in plain English, catch anomalies automatically, and get weekly digests that read like PM standup notes.

Read case study →

Pulse analytics dashboard

Pulse query interface

03

Experience

Jan 2026 - Present Current

Founding Product Intern

Digo

Mountain View, CA

Owned early product discovery and KPI tracking for an AI event platform, turning organizer research into sharper MVP priorities.

40% less setup time Built KPI tracking and ran user research in Figma + Notion

Oct 2025 - Present Part-time

Part-time Product Consultant

Giri Inc.

Sunnyvale, CA

Used analytics, research, and experimentation to tighten Giri’s funnel and make checkout decisions more evidence-driven.

7 steps reduced to 3 Built an 8-KPI framework with competitive analysis and user interviews

Sep 2025 - Present Part-time

Part-time Product Consultant

Opsfinity

Remote

Scoped workflow improvements for finance operations and used data plus market analysis to shape the next product bets.

3 workflows automated Improved approval and fraud-prevention flows with PowerAutomate

Feb 2026 - Present Part-time

Product & UX Contractor

TechEquity AI

Remote

Designed product flows for an AI tutoring platform and used testing to improve onboarding, accessibility, and personalization.

A/B testing on onboarding Built Figma prototypes and accessibility improvements for NLP-driven flows

Jul 2023 - Jan 2026 Research

Research Assistant (Product/ML)

UC Davis Department of Computer Science

Davis, CA

Built data pipelines and benchmarking workflows for network-security research, turning technical experiments into clearer findings for the lab.

50% faster research deliverables Developed Python + SQL pipelines in Databricks for IDS evaluation

04

Education

University of California, Davis

B.S. Cognitive Science · B.A. Design · Minor in Computer Science

Sep 2022 - Jun 2025

Key courses: Tech Management, Algorithms, Human-Computer Interaction, Cognitive Psychology, Logic & Probability, and Software Design.

Standout leadership & community: Finance Director for Davis Design Interactive, managing a $40,000 annual budget across 12+ design events, and Project Associate for the AI Student Collective, helping grow campus AI programming and community initiatives.

Always down for a chat.

Open to PM and analytics roles. Or just want to talk about something you’re building? Let’s chat.

Open to work · Sunnyvale, CA · Open to relocation

Get in touch Resume