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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Education
Texas Tech University, Rawls College of Business
M.Sc. in Management Information Science (Data Science)
Passout Year: 2014Publication
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Projects
SAS Analytics Shoot Out 2014: Crime Analysis
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- By : Udemy
- Event : Big Data and Ha...
Big Data and Hadoop Essentials
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Patent
Scholar9 Profile ID
S9-102024-0406190
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