Oct 2024 – May 2025 · 7 mos · Bengaluru, Karnataka, India

Oct 2023 – Oct 2024 · 1 yr · Bengaluru, Karnataka, India

Jul 2022 – Sep 2023 · 1 yr 2 mos · Bengaluru, Karnataka, India

• Online shopping is fast and convenient but the checkout options are not. The Simpl app brings the convenience of a khata online so you can check out with 1 tap and pay later.

May 2021 – May 2022 · 1 yr · Bengaluru, Karnataka, India

• Sezzle is a cutting-edge fintech company whose mission is to financially empower the next generation.
• Today, only one in three young people own a credit card, and the vast majority of millennials possess a subprime credit score or no credit at all. To address these problems, Sezzle has built a payment platform that increases purchasing power for consumers by offering interest-free installment plans at online stores.
• This increase in purchasing power for consumers leads to increased sales and basket sizes for the +25,000 eCommerce merchants that currently work with Sezzle.

Oct 2019 – Apr 2021 · 1 yr 6 mos · Greater Bengaluru Area

• During COVID'19 - Developed account management Strategies for better Credit Line
• Management and Risk Solutions to better manage the risk exposure, affordability and credit
• limit both towards LOCKING ( phase wise) and UN-LOCK
• Developed RBX (Risk-Based Experience) Strategy for Indian Customers to avail loan in no time.
• Defining the user journey flow basis on Risk and Affluence Estimation basis on Traditional and
• Alternate Data
• Developed Income Estimation Model, Fraud model - Non-Starters Credit Risk and model
• deployment in quick time

Feb 2018 – Sep 2019 · 1 yr 7 mos

• Worked on the below projects in Credit Risk Assessment:
• 1- Fraud Detection | Loan Propensity Framework: Removal of Fraudulent Customers in Digital
• Lending through traditional and non-traditional data sources seeking for Loan Propensity
• thereby reducing the Business Losses in the portfolio
• 2- Credit Risk Scorecard: Built the Risk scorecards using traditional and non-traditional data set for
• leading NBFC’s and banks for credit decisions and assessing the risk for customers under
• unsecured small ticket loan scheme
• 3- Credit Policies: Built Credit policies for Personal Loan, Consumer Durable and Two-wheeler
• segment as well as monitoring them closely to tweak it as per the performance

Oct 2016 – Jan 2018 · 1 yr 3 mos

• CreditVidya is in helping financial institutions to make better Credit underwriting decisions using Big Data backed techniques.
• Worked on the below projects:
• 1- Digital field investigation: Built digital field investigation of Name, Email, Phone, DoB, Salary
• and Address verification data by using traditional and alternate datasets to authenticate the
• customers more accurately
• 2- Income / Employment Estimation: Developed ML model to estimate the income and the
• employment of the customer based on alternate data

Mar 2016 – Sep 2016 · 6 mos

• Worked on the below prjects:
• 1- Telecom | Customer Journey - Designed a 360* “Cross Channel Customer Digital Journey”
• framework to analyse customer journey to target them for Digital adoption and conversion -
• 2- Telecom | Digital Adoption Tool - Led a team of 3 analysts for designing a real-time tool which
• assisted customer care agents in providing customized solutions - Tool adopted across 3 country
• centers of the Customer Care department, helped in reducing repeat call rate and reduced
• operational costs by ~$10 M.
• 3- Retail | Accessory Sales Analysis - Devised metrics to gauge accessory sales performance
• at retail stores of a fortune 100 telecommunications organization

Sep 2014 – Feb 2016 · 1 yr 5 mos

• Mu Sigma is a category-defining decision sciences and big data analytics company, helping enterprises systematize better data- driven decision making