Krishna Sankar's Email & Phone - VP/Distinguished Engineer − AI/E3 (Experimentation, Explainability & Ethics) @ U.S.Bank

Krishna Sankar's Work Experience

Bank Policy Institute

Co-Lead : AI Explainability WG

June 2021 to Present

Amberoon Inc.

Startup Advisor - Crypto Algorithms (AI/Graph) for Asset/Profile/Trx Risk & Regulatory Insights

January 2022 to Present

U.S. Bank

VP/Distinguished Engineer − AI

February 2019 to Present

Krishna Sankar's Education

January 2019 to January 2020

January 2013 to January 2017

January 2018 to January 2018

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In a nutshell

Krishna Sankar's Personality Type

Introversion (I), Intuition (N), Thinking (T), Judging (J)

Average Tenure

2 year(s), 0 month(s)

Krishna Sankar's Willingness to Change Jobs

Unlikely

Likely

Open to opportunity?

There's 90% chance that Krishna Sankar is seeking for new opportunities

Krishna Sankar's Professional Skills Radar Chart

Based on our findings, Krishna Sankar is ...

Strategic

Self-reliant

Questioning

What's on Krishna Sankar's mind?

Based on our findings, Krishna Sankar is ...

56% Left Brained

44% Right Brained

Krishna Sankar's Estimated Salary Range

About Krishna Sankar's Current Company

U.S. Bank

Frequently Asked Questions about Krishna Sankar

What company does Krishna Sankar work for?

Krishna Sankar works for U.S. Bank

What is Krishna Sankar's role at U.S. Bank?

Krishna Sankar is VP/Distinguished Engineer − AI

What is Krishna Sankar's personal email address?

Krishna Sankar's personal email address is k****[email protected]

What is Krishna Sankar's business email address?

Krishna Sankar's business email addresses are k****[email protected], and k****[email protected]

What is Krishna Sankar's Phone Number?

Krishna Sankar's phone (**) *** *** 370

What industry does Krishna Sankar work in?

Krishna Sankar works in the Banking industry.

About Krishna Sankar

💼 Past Experience

Krishna Sankar has a long-standing experience in the field of data science and has worked in many different fields such as technology, engineering, and marketing. He has worked on a variety of projects, some which have involved data science and machine learning, while others have involved more traditional fields such as engineering or marketing. Krishna Sankar has also worked on a number of big data projects and has increased his understanding of big data and its various aspects, both from an engineering perspective and from a data science perspective.Krishna Sankar has a particular interest in risk management and data science has assisted in the development of techniques and infrastructure to help with risk management and data analytics. He has also been involved in the development of a number of big data platform frameworks, which facilitate the use of big data by developers.

🎓 Education

Krishna Sankar's educational background parallels his professional goals. From studying business administration and management, he has evolved into a successful data scientist.iterate in computer science at the University of Michigan where he excellent in earning a 4.0 GPA in 1990-1993. After completing his undergraduate studies at the University of Detroit Mercy in 1985, Krishna Sankar began his career at Ford Motor Company, working his way up through the ranks. He left Ford Motor Company to start his own company, NanoDegree, in 2018.In his spare time, Krishna Sankar enjoys playing poker and spending time with his wife and son.

💡 Technical & Interpersonal Skills

Krishna Sankar's Summary:Krishna Sankar has an important record inknowledge of big data and data science including developing architectures and solutions for various big data projects. He has also held a leadership role in various data science teams, leading the way in creating innovative and scalable solutions. Krishna Sankar is an experienced engineer with a solid background in artificial intelligence, risk assessment, and statistics. Krishna Sankar is also an experienced architect with a strong background in big data solutions and an in-depth understanding of Cisco systems and their software engineering processes.