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About

Indra Reddy Mallela is the VP of Model Risk Management at MUFG Bank, bringing extensive expertise in quantitative analytics, data science, and model validation. With a strong foundation in machine learning and statistical modeling, he excels at extracting actionable insights from large datasets. Indra has a proven track record in leading teams to address complex challenges in compliance, fraud, and financial crime analytics, particularly in anti-money laundering (AML) and sanctions. His technical skills encompass big data technologies like Hadoop, SQL, and various business intelligence tools, enabling him to manage and validate sophisticated machine learning models, including large language models. Indra's experience spans roles at New York Community Bank and GE Capital, where he developed predictive models for credit risk and performed rigorous statistical analysis. He holds a Master’s degree in Management Information Science from Texas Tech University and has contributed to significant projects, such as analyzing crime data for urban areas and assessing credit card decline rates. A thought leader in the field, Indra actively shares his insights through speaking engagements and industry events, showcasing his commitment to advancing the integration of AI in financial services.

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Experience

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VP-Model Risk Manager

MUFG Bank, Irving

Mar-2021 to Present

Education

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Texas Tech University, Rawls College of Business

M.Sc. in Management Information Science (Data Science)

Passout Year: 2014

Publication

Role in Research Journals

Projects

Oct-2014 to Present

SAS Analytics Shoot Out 2014: Crime Analysis

Analyzed crime data for five cities, which include over 2 million observations and 50+ variables. Predicted crime rate for each crime type per year and city with environmental and demographics factors into account. Forecasted and scored 2022 data using various Time Series Forecasting models, Poisson regression models, logistic regression models to predict probable crime rates/ crime types and give recommendations to reduce the effect of crime
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Conference/Seminar/STTP/FDP/Symposium/Workshop

Certificates

Issued : Aug 2014
  • dott image By : Udemy
  • dott image Event : Big Data and Ha...
Big Data and Hadoop Essentials

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Doctoral and Master Thesis Guided

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Scholar9 Profile ID

S9-102024-0406190

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