Mahesh Venkatesan

AI Researcher

Bengaluru, Karnataka, India9 yrs 10 mos experience

Highly Stable

Key Highlights

7+ years in consumer lending modeling and strategy.
Expertise in tree-based machine learning algorithms.
Rich international experience across multiple sectors.

Stackforce AI infers this person is a Fintech expert with strong data science and risk analysis capabilities.

Contact

Skills

Core Skills

Data ScienceCredit Card Collections StrategyCredit Card AnalyticsCredit Card UnderwritingMachine LearningRisk Analysis

Other Skills

@RiskBig DataBig Data AnalyticsC++Consumer FinancingConsumer LendingCredit AnalysisCredit BureauCredit Card DebtCredit CardsCredit RiskCredit Risk ManagementCrystal BallData AnalysisGBM

About

Working on building cutting edge modelling solutions for Kotak's consumer banks, enabling adoption of data driven decision making. I have 7+ years of experience working in AmEx and Goldman Sachs on Consumer Lending Modelling/Strategy, with a holistic view on the full life cycle of the product - Marketing, Underwriting, Account Management and Collections, and stakeholder management across 2nd Line, credit strategy and data engineering. An IIT-IIM graduate (top tier engineering and business institutes in India), with experience in sectors from oil & gas to financial services, I have acquired reasonable expertise in data science for risk analysis, in particular, tree-based Machine Learning algorithms and Monte Carlo simulations. In addition, I have a rich international experience during my stint at Shell, working in Europe and SE Asia and also during my Masters in Engineering in the US.

Experience

Kotak mahindra bank

Prinicipal - Data Science

Jan 2024 – Present · 2 yrs 2 mos · Bengaluru, Karnataka, India

Working on building cutting edge modelling solutions for Kotak's consumer banks, enabling adoption of data driven decision making

Goldman sachs

2 roles

Vice President

Promoted

Jan 2023 – Jan 2023 · 0 mo · Bengaluru, Karnataka, India · On-site

Collections Modelling Lead for Consumer Cards

Stakeholder ManagementData ScienceMachine LearningCredit Card Collections StrategyCredit Card Debt

Associate

Jan 2020 – Jan 2022 · 2 yrs

Marketing, Underwriting and Customer Management modelling initiatives with key stakeholder management, for Consumer Cards

Stakeholder ManagementData ScienceCredit Card AnalyticsMachine LearningCredit Card Underwriting

American express

2 roles

Assistant Manager

Promoted

Jan 2019 – Jan 2020 · 1 yr · Gurgaon, India

Underwriting modelling initiatives with key stakeholder management, for Consumer Cards business of AmEx in Australia & Canada.

Stakeholder ManagementData ScienceMachine LearningCredit BureauCredit Card Underwriting

Credit Risk Analyst

Jan 2017 – Jan 2019 · 2 yrs · Gurgaon, India

1) Built and deployed ML models to predict credit risk of incoming applicants real time, driving millions of dollars in net impact.
2) Leveraged feature engineering and alternative data sources to enhance model outcomes

True north co

Summer Intern

Apr 2016 – Jun 2016 · 2 mos · Mumbai Area, India

Market research to establish need for an online marketplace of agricultural produce warehouses.

The university of texas at austin

3 roles

Teaching Assistant

Jan 2014 – May 2014 · 4 mos · Austin, Texas Area

Facilitating lab experiments and grading reports & exams for undergraduate heat transfer course

Graduate Research Assistant

Feb 2013 – May 2014 · 1 yr 3 mos · Austin, Texas Area

1) Experimental observations, analysis and recommendations on a renewable energy system for simultaneous production of wind and solar power.
2) Project management to set up the system hands on end to end after aligning with key partners.

Teaching Assistant

Sep 2012 – May 2013 · 8 mos · Austin, Texas Area

Facilitating lab experiments and grading reports & exams for undergraduate fluid mechanics course

Shell

Project Risk Analyst

Jan 2011 – Jan 2012 · 1 yr · Bangalore, India

1) Project cost and schedule risk analysis using Monte Carlo simulations to enable realistic estimates for project completion and total cost for $ 10.5 billion worth upstream & downstream projects.
2) Reduced planned project capital by 10-15%, potential annual cost savings of $ 1-2 billion
3) Facilitated risk analysis workshops for senior leaders across key functions, to brainstorm and challenge assumptions of schedule and cost items, enabling realistic estimates