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