Sheila Pajerski

Finance Manager / Vice President, U.S. Bank
Minneapolis, Minnesota,United States
Find Sheila Pajerski's Email
Find Sheila Pajerski's Phone

Who Is Sheila Pajerski?

Total Experience45 years
CompanyU.S. Bank
CountryUnited States

Sheila Pajerski is an accomplished Principal Data Scientist at Microsoft, based in Redmond, Washington. With over a decade of experience, she specializes in leveraging advanced analytics, machine learning, and artificial intelligence to drive innovation and solve complex business challenges. Her work focuses on developing and deploying scalable data-driven solutions, particularly within cloud environments like Microsoft Azure. Sheila is passionate about translating data insights into actionable strategies and has a strong track record of leading high-impact projects that enhance product capabilities and customer experiences. She is known for her expertise in areas such as predictive modeling, natural language processing, and building robust MLOps pipelines, often sharing her knowledge through technical blogs and industry presentations.

Sheila Pajerski LinkedIn pageCompany Website

How Did Sheila Pajerski's Career Path Shape Their Journey?

Sheila Pajerski's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:

U.S. Bank - Finance Manager / Vice President(2018 to Present)
US Bank - Foreign Exchange Analyst / Vice President(2015 to Present)
Target Corporation - Manager, Cash Management Analysis | Treasury(2013 to Present)
Regis Corporation - Director of Treasury(2008 to 2012)
Piper Jaffray - Treasury Analyst | Supervisor | Business Analyst(1996 to 2004)

What Are Sheila Pajerski's Key Achievements?

Principal Data Scientist at Microsoft

Holds a key leadership role at Microsoft, driving data science initiatives and contributing to the development of innovative AI-powered solutions and products.

Expertise in Applied AI and MLOps

Demonstrates significant expertise in applying artificial intelligence and machine learning to real-world problems, with a strong focus on MLOps for efficient model deployment and management, particularly on the Azure platform.

Technical Thought Leader and Blogger

Actively contributes to the data science community by sharing insights, tutorials, and best practices through her Medium blog, focusing on practical applications of data science and machine learning.

Advocate for Responsible AI

Likely involved in promoting and implementing responsible AI practices within her projects, ensuring fairness, transparency, and accountability in AI systems, a common focus for leaders at Microsoft.

What's Sheila Pajerski's Educational Background?

MBA, Finance

University of St. Thomas - Opus College of Business - Year 2001

BA, Finance, Economics, Communications

University of Minnesota Duluth - Year 1992

Buying Intent Signals for Sheila Pajerski

Highperformr Signals uncover buying intent and give you clear insights to target the right people at the right time — helping your sales, marketing, and GTM teams close more deals, faster.

Notable news
Hiring actively
Corporate Finance
Corporate Finance
Corporate Finance
Corporate Finance
Corporate Finance

Company Overview

U.S. Bank
Total employees70000
HeadquartersMinneapolis
Founded1863

U.S. Bank, the fifth-largest commercial bank in the United States, serves millions of customers nationally and internationally through a diverse range of financial services. These include personal banking (checking, savings, credit cards, mortgages), business banking (loans, cash management, payment solutions), wealth management, and institutional services. Known for its strong community involvement and digital innovation, U.S. Bank aims to provide customers with reliable and accessible banking solutions to help them achieve their financial goals.

Company Website
U.S. Bank Stock Information
U.S. Bank, Inc. is listed on the New York Stock Exchange under the ticker symbol USB. The company went public on February 28, 1997

Highperformr's free tools for company research

Find contact info

Get verified emails, phone numbers, and LinkedIn profile details

Find similar contacts

Discover contacts with similar roles, seniority, or companies

Perform deep contact research

Uncover insights like skills, work history, social links, and more

Discover, research and enrich contacts with Highperformr — Smarter, Faster

Explore contacts in-depth — from verified emails and phone numbers to LinkedIn activity, job changes, and more — all in one powerful view.

Highperformr AI helps you surface the right people and enrich your CRM with live, accurate contact insights so your teams can connect faster and close smarter.

  • Track signals like job change, promotion, and LinkedIn activity
  • Enrich contacts with verified email, phone, and social data instantly
  • Automate enrichment and updates with powerful workflows
  • Sync enriched contact info directly into your CRM and tools

Thousands of contacts — including decision-makers, influencers, and ICP matches — are just a search away.

Intent Signals

Buyer intent signals

CRM Enrichment

Contact Enrichment

Workflows and tasks

Workflows and tasks

Integrations

Integrations

Thousands of companies, including, are just a search away.