Pritish Zinzuwadia
quantitative modeler at wells fargo@ Wells Fargo
New York, New York, United States
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Pritish Zinzuwadia is a highly experienced professional with 13.6 years of work experience in various roles. He possesses a wide range of skills including SAS, data analysis, SQL, SAS programming, and analytics. Based in the United States, Pritish has a strong focus on risk management and advanced predictive modeling techniques in retail credit risk modeling. He has worked at Wells Fargo and Equifax, where he held positions such as Quantitative Modeler, Senior Statistical Modeler, and Statistical Consultant. Pritish also has experience in distributed computing and has strong writing, organizational, communication, and negotiation skills.
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Emails and Phone Numbers

@equifax.com
@wellsfargo.com
@gmail.com
+1 866878****
+1 334774****
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About

* 10+ years of experience with a focus on risk management, advanced predictive modeling technique in retail credit risk modeling * Experience in: • Retail Credit Risk Model Design and Development of PD, LGD, EAD • Utilizing, Tuning Machine Learning Algorithms for Feature Selection & Credit Risk Model development • Credit Bureau data and Alternative data * Experience with SAS and Python scientific stack (pyspark, pandas, numpy, etc) and version control (GitHub) * Experience with distributed computing (Hadoop, Impala, Spark) * Strong writing, organizational, communication and negotiation skills

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Work Experience

420 Montgomery St, San Francisco, California, 94103, US

Financial Services

199344
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Pritish Zinzuwadia's Professional Milestones

  • Statistician I (2011-10-01~2013-01-01): Developed data-driven strategies to optimize health outcomes and contribute to sustainable economic growth.
  • Graduate Teaching Assistant (2010-02-01~2010-12-01): Performing engaging lessons and contributing to the growth of the Teaching Empowerment team.
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Education

Georgia Institute of Technology
Georgia Institute of Technology

Computer Science (specialization: Machine Learning)

2018-2021
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