Nallan Suresh

Chief Analytics and Data Officer

Role
Chief Analytics and Data Officer at Gain Credit
Location
San Francisco, CA, US
LinkedIn followers
500 followers
Information TechnologyView LinkedIn profile

About Nallan Suresh

C-Level Analytics and Data Science Executive with over two decades of proven analytics experience across diverse verticals - FinTech, Healthcare, Market Research, Online Music. Demonstrated dynamic leadership in growth-driven environment against strong headwinds. Expertise in Consumer Lending, Subprime, Fraud Detection, Credit Scoring, Healthcare Analytics, Consumer and Marketing Analytics. Excellent writing and communication skills - published and presented papers at several conferences, regularly conducted training sessions for customers (especially non-technical) to use models.

Experience

  1. Chief Analytics and Data Officer

    Gain Credit

    Jan 2015 — Present · San Francisco, CA, US

    On the executive team of a Fintech company and leading a team of data scientists working across geographies, including India (Chennai, Noida), UK (London) and the US.Helped double business size, with increased profitability while managing credit risk, facing adverse economic and regulatory downturns, while competitors were shutting down operations - Increased operational efficiency by sizing team per business needsDeveloped analytics and data strategy across organization and promoted data-driven cultureResponsible for controlling credit risk and fraud in consumer lending and managing analytics across multiple verticals in the organizationResponsible for mentoring and growing analytics talent to work in cross-functional projects, build and deploy predictive models and credit scores, and apply advanced analytics techniques to solve business problemsAlso previously ran Data Engineering/BI on AWS including governance, scalable warehousing, management, and reporting/visualization using Tableau/SAP-BO

Education

  • Cornell University

    M.S, Mechanical Engineering

  • Indian Institute of Technology, Madras

    B. Tech, Mechanical Engineering

  • University of Michigan

    PhD, Mechanical Engineering

Skills

  • Customer Analytics
  • Customer Analysis
  • Sas
  • Data Analysis
  • Management
  • Insurance
  • Analysis
  • Predictive Analytics
  • Statistical Modeling
  • Statistics
  • Optimization
  • Healthcare Analytics
  • Data Quality
  • Response Modeling
  • Credit Scoring
  • Analytics
  • Fraud Detection
  • Predictive Modeling
  • Machine Learning
  • Data Mining
  • Marketing Research
  • Churn
  • Insurance Analytics
  • Regression Analysis

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