Product Manager · Data & AI Systems

I build the systems that turn messy data into trustworthy answers.

I moved from solving customer problems on the front line to building the products that prevent them — now exploring how AI gets us there faster, without losing sight of what the data actually says.

See the work → Read my story
0%
unique-match accuracy maintained in production
0%
noise reduction in matching results
0+ yrs
turning customer friction into product decisions
aish
Bengaluru, IN
About

Product thinking, built on the front line.

Off the clock: I'm intuitive, a quick learner, and still a bit of an artist — I used to paint, and I've done portraits I'm genuinely proud of. These days most of my curiosity goes toward what's new in tech and AI, and figuring out which of it is actually useful.

I moved from solving customer problems on the front line to building the products that prevent them — now exploring how AI gets us there faster, without losing sight of what the data actually says.

The turning point

Before product, I was on the front line — as a support and tech specialist, I heard customer problems first: the unmet needs, the friction, the things that quietly broke their workflow. I wasn't just logging tickets. I was troubleshooting complex integrations with engineering, and more often than not, proposing better ways to solve the underlying problem — not just the symptom. That instinct to fix the "why," not just the "what," is what pulled me toward product. When the opportunity came, I took it without a second thought.

What I learned getting here

Moving from support into product meant learning to see the other side of the idea — not just what customers needed, but how that need becomes something real. I learned agile and scrum, the stages an idea moves through from concept to build, and what a product manager is actually responsible for at each one: discovery, business value, MVP scope, prioritization, estimation — and just as often, knowing when to say no. The bigger shift was learning to hold two perspectives at once — the client's and the business's — and find the proposals that genuinely serve both, not just one at the other's expense.

What drives me now

Today, I'm focused on doing that faster and with more rigor using generative AI — building prototypes and proof-of-concepts myself, without waiting on dev cycles, to test whether an idea actually holds up before committing resources to it. What matters to me isn't using AI because it's AI — it's figuring out where it genuinely helps the process, and where it's just added cost and noise. Every call still comes back to the data, not to what the model thinks is a good idea.

Selected Work

Case studies and side projects.

MATCH ENGINE Unified ID
Case Study · Altrata

One matching engine, many data sources

Multiple entity-matching engines existed across different products, each matching people in its own way. I led the consolidation into a single engine that handles every data point across the business, with a roadmap to add more.

99%
unique-match accuracy
50%
noise reduction
92+
score for a unique match
Discuss this project →
YOU Strong Moderate
Case Study · Altrata

Relationship intelligence, built from scratch

Defined the factors and data points used to build relationships between people, and designed how relationship strength is scored and labeled (Strong / Moderate / Weak). Also led a derived-network capability that surfaces warm paths clients didn't know they had.

3
relationship types shipped
↓
fewer, more relevant paths
Discuss this project →
RUN
Case Study · Altrata

Prototyping what's next, without a dev cycle

Designed and built a set of interactive, AI-assisted prototypes to test product ideas before committing engineering time — best-match selection, a screening review workbench, relationship-path explainability, an AI-assisted relationship-discovery flow, and a client-level "opportunity graph." Used to pressure-test ideas with stakeholders and get faster, sharper feedback than a static spec ever could.

12
interactive concepts prototyped
0
dev hours to validate direction
Explore the prototypes →Discuss this project →
Arjun Riya Neha MVP: k=3
Side Project · AIPM Course

AI Travel Companion

Ran a k-means segmentation on a 5,000-respondent survey to move from three qualitative personas to statistically validated segments, then picked the MVP segment using a weighted market-attractiveness score. Paired it with a four-metric launch dashboard built around a single north-star metric.

5,000
respondents segmented
k=3
validated segments
Discuss this project →
AI
Side Project · AIPM Course

LegalEase — QuickSummarizer

An AI tool that turns contracts and EULAs into plain-language summaries for small business owners who don't have in-house legal support. Based on a real problem, built around a fictional scenario for the case study.

View full case study →
Interactive Prototypes

Ideas you can click, before anyone writes code.

Concepts I designed and built myself to test product direction with stakeholders and clients. Each one runs on sample data. Try any one live, or expand the screenshot.

Enhancements

Fixing and sharpening what clients use today.

Insights

Moving Altrata from raw data to insights.

Experience

The long version.

04/2026 — Present
Product Manager
Altrata · Bengaluru
Own end-to-end product lifecycle for core offerings — strategic vision, goal setting, and product frameworks. Partner with engineering, design, and data to run discovery and prioritize high-value features.
Current
11/2022 — 03/2026
Product Owner
Altrata · Bengaluru
Led two major, complex product development initiatives end to end. Defined user stories and prioritized backlog across multiple scrum teams, ran user research, and built product roadmaps.
2015 — 2022
Customer Support → Team Lead
WealthEngine, Concentrix, Amazon
Seven years across technical support and customer success — resolving complex integration issues, writing SOPs and knowledge-base articles, and mentoring junior staff before moving into product.
2023
Professional Scrum Product Owner I
Scrum.org
Certified Scrum Product Owner.
2015
B.E., Electrical Engineering
RNSIT · Bengaluru
Let's connect

Open to conversations about hard problems — not just job offers.

If you're working through something tricky in product, data, or AI and want to think out loud, I'd genuinely like to hear from you. Like-minded people welcome, no agenda required.

Email
aishwarya.ma.10@gmail.com
Phone
+91 79759 17910
LinkedIn
aishwarya-m-a