AeroLeads people directory · profile
Tomas Larsson Email & Phone Number
Data Scientist
at
AI Made Easy
1 work email found
@vanguard.com
4 phones found area 248, 646, and 212
LinkedIn matched
✓ Verified July 2026
4 data sources
Profile completeness 100%
Current company
Role
Data Scientist
Location
Glenelg, Maryland, United States
Company size
Who is Tomas Larsson? Overview
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Quick answer
Tomas Larsson is listed as Data Scientist at AI Made Easy, a with 4 employees, based in Glenelg, Maryland, United States. AeroLeads shows a work email signal at vanguard.com, phone signal with area code 248, 646, 212, and a matched LinkedIn profile for Tomas Larsson.
Tomas Larsson previously worked as CEO/CAO at Ai Made Easy and Principal Data Scientist at Vanguard. Tomas Larsson holds Ph.D., Mechanical Engineering from University Of Michigan.
Company email context
Email format at AI Made Easy
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{first}_{last}@vanguard.com
86% confidence
AeroLeads found 1 current-domain work email signal for Tomas Larsson. Compare company email patterns before reaching out.
Profile bio
About Tomas Larsson
Tomas has a diverse background in modeling and data analysis with experience in financial services (BASEL, CCAR and insurance), manufacturing, product development, market research and revenue management. In additional to strong analytical skills Tomas has strong technical skills that enables him to take projects all the way from idea, to analysis to implementation.KEY COMPETENCIES• Python • PySpark • R, SQL, VB, Matlab, SAS • Machine Learning • Presentation • Innovation,Problem Solving• Optimization • Team Building • Implementation Strategy
Listed skills include Analytics, Data Mining, Statistics, Predictive Modeling, and 20 others.
Current workplace
Tomas Larsson's current company
Company context helps verify the profile and gives searchers a useful next step.
10 roles · 28 years
Tomas Larsson work experience
A career timeline built from the work history available for this profile.
Ceo/Cao
Current
Sep 2024 - Present
Principal Data Scientist
Sep 2020 - Aug 2024
Vp Of Data Science
Leading and building a data science practice through hiring and training junior data scientists on R, advanced analytics, Python, Machine Learning, SQL, business knowledge, and communication skills. • Worked with junior analysts to develop ML models on PySpark for national healthcare provider. Models implemented in live pilot using PySpark. • Developed algorithms and technology solutions for a top health insurance provider to maximize profit with quality and geographical constraints by optimizing the network provider selection process. Implemented web based optimization solution on clients cluster of Linux servers. • Led marketing strategy analytics for a national resort chain to improve targeting accuracy and sales funnel efficiency through identifying new data sources and predictive modeling.
Apr 2017 - Aug 2020
Avp, Decision Analytics
Led advanced analytics projects to conduct risk modeling and stress testing (CCAR and BASEL) for top national banks ($20 to $40 billion portfolios); directed offshore resources on advanced analytics.• Audited a top investment bank’s CCAR /risk models including the Fed scenario expansion models used to assess risk across the firm’s entire investment portfolio. • Developed a model for a credit reporting agency to target prospect investors, a potential product for them to sell to brokerage firms. • Automated model monitoring process and validated credit fraud and risk models for a top bank.
2014 - 2017
~3 yrs
Director Of Business Intelligence
• Managed an analytics team developing predictive models to, among other things, optimize targeting, incentive effectiveness, improved debt collection effectiveness by 20%. • Led a cross functional team to create and implement processes which improved the forecasting accuracy of annual revenue of $1 billion by 20% and reduced time spent to produce reports by 70%.• Pioneered Laureate’s big data initiative using Hadoop to analyze unstructured data such as blog posts, social media data and notes from enrollment advisers; detecting in early stage the students more likely to require prompt academic intervention/support.
2012 - 2014
~2 yrs
Lead Modeling Analyst
2009 - 2011
~2 yrs
Manager, Decision Analytics
2007 - 2009
~2 yrs
Senior Research Engineer, Product Development And Consumer Insights
2001 - 2007
~6 yrs
Research Engineer
1999 - 2001
~2 yrs
3 education records
Tomas Larsson education
Ph.D., Mechanical Engineering
University Of Michigan
M.Sc., Systems Engineering
University Of Wales, Cardiff
M.Sc., Mechanical Engineering
Linköping University
FAQ
Frequently asked questions about Tomas Larsson
Quick answers generated from the profile data available on this page.
What company does Tomas Larsson work for?
Tomas Larsson works for AI Made Easy.
What is Tomas Larsson's role at AI Made Easy?
Tomas Larsson is listed as Data Scientist at AI Made Easy.
What is Tomas Larsson's email address?
AeroLeads has found 1 work email signal at @vanguard.com for Tomas Larsson at AI Made Easy.
What is Tomas Larsson's phone number?
AeroLeads has found 4 phone signal(s) with area code 248, 646, 212 for Tomas Larsson at AI Made Easy.
Where is Tomas Larsson based?
Tomas Larsson is based in Glenelg, Maryland, United States while working with AI Made Easy.
What companies has Tomas Larsson worked for?
Tomas Larsson has worked for Ai Made Easy, Vanguard, Blend360, Exl, and Laureate International Universities.
How can I contact Tomas Larsson?
You can use AeroLeads to view verified contact signals for Tomas Larsson at AI Made Easy, including work email, phone, and LinkedIn data when available.
What schools did Tomas Larsson attend?
Tomas Larsson holds Ph.D., Mechanical Engineering from University Of Michigan.
What skills is Tomas Larsson known for?
Tomas Larsson is listed with skills including Analytics, Data Mining, Statistics, Predictive Modeling, Market Research, Forecasting, Modeling, and Research.
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