---
title: "Nimish Mangal - Associate Director Product Manager in Bengaluru | Tal"
description: "Meet Nimish Mangal, Uni Cards | Founding Team Member - Akudo (YC S21) | IIT Delhi based in Bengaluru. AI stack includes aistudio, gemini, and openai."
image: "https://tal.club/meet/nimish-mangal/share-image"
---

# Nimish Mangal on Tal

## Headline

Uni Cards \| Founding Team Member \- Akudo \(YC S21\) \| IIT Delhi

## About

Experienced Software Analyst with a demonstrated history of working in the financial services industry\. Skilled in Data Analysis, Logistic Regression, Python \(Programming Language\), C\+\+, and Natural Language Processing \(NLP\)\. Strong engineering professional with a Bachelor of Technology \(B\.Tech\.\) focused in Electrical and Electronics Engineering from Indian Institute of Technology, Delhi\.

## Location

Bengaluru

## AI stack

aistudio

gemini

openai

perplexity

## Work experience

Associate Director Product Manager at Uni Cards, Jan 2026 \- Present · 10 mos, On\-site

Senior Product Manager at Uni Cards, Jan 2025 \- Dec 2025 · 1 yr, Bengaluru, Karnataka, India

Product Manager at Uni Cards, Jan 2024 \- Jan 2025 · 1 yr 1 mo, On\-site

Product Lead at Akudo, Aug 2021 \- Jan 2024 · 2 yrs 6 mos, Bangalore Urban, Karnataka, India, Responsible for user research, analytics, and enhancing the key aspects of the user journey, including onboarding, retention, and monetization \- Orchestrated the development and integration of UPI on PPI, collaborating with NPCI, which led to a 10X increase in GTV \- Redesigned the rewards program and strategically planned the release of changes through rigorous A/B testing which led to a reduction in rewards burn by 80% without negatively impacting GTV

Product Manager at Capital One, Jan 2021 \- Aug 2021 · 8 mos, Bengaluru, Karnataka, India, \- Digitally transformed the way customer complaints were assessed by creating a suite of text classification models to scan customer complaints about potential regulatory breaches \- Designed a monitoring framework for NLP models by formulating key monitoring metrics to ensure the sustainability of model

Associate Business Analyst at Capital One, Jun 2019 \- Dec 2020 · 1 yr 7 mos, Bangalore, India, \- Designed a data\-driven pricing strategy to aid the re\-negotiations of repossession contracts \($100 MM\+ portfolio\) and reduce the overall repossession expense \- Evaluated the viability of machine learning algorithms \(XGBoost, Decision Trees\) to identify a population that is easy to repossess

Intern at Capital One, May 2018 \- Jul 2018 · 3 mos, India, Classification of Documents received at the time of loan funding \- Designed a layout based supervised CNN classifier to categorize documents, achieving an accuracy of above 97% \- Created an unsupervised model to extract a particular type of document from the dataset using the concept of Transfer Learning \- Built an Autoencoder and created feature maps of the images to classify them in an unsupervised manner

## Education

Bachelor of Technology \(B\.Tech\.\), Electrical and Electronics Engineering, Indian Institute of Technology, Delhi

[View the original profile](https://tal.club/meet/nimish-mangal)

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