Tech Talent Vault

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Data Scientist

Stefan Solie

Stefan Solie
Willing To Relocate Anywhere in the United States
Base ID: 57053

Education

Bachelor of Arts in Applied Mathematics | Robert Morris University | Moon Township, PA

Professional Experience

  • 11+ years – Data scientist focused on insight delivery with experience on thinking critically, exploring and analyzing data to solve problems, creating visualizations, building models, optimizing systems, and driving business impact.
  • Educational background in applied mathematics, operations research, and data science with experience using multiple programming languages.
  • Strong business acumen, relationship building, communication, and presentation skills come from experience in management leading a team of 25.
  • Also managed his own website for over 15 years.

Previous Company

Wells Fargo

Certificates

Data Science Certificate | TDWI Data Science Bootcamp | San Diego, CA

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Chief Data Scientist

Erica Mackeson

Erica Mackeson
Willing To Relocate Anywhere in the United States
Base ID: 54983

Education

Exec MS Technology, Penn State University

Professional Experience

  • Data Science professional with 30 + years of experience in data mining and analytics projects in Risk Modeling, and Profiling and Segmentation analysis
  • A Chief Data Scientist highly experienced in Logistics Modeling Credit Scoring, Fraud Detection, Operations Research, Forecasting, and Optimizations.
  • Multiple Awards for Process Improvements and Projects as Lead Role.
  • Big Data Team Lead for all forecasting activities and evaluation of customers and operational needs.

Previous Company

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VP Data Science

Yury Grinberg

Yury Grinberg
Willing To Relocate Anywhere in the United States
Base ID: 70429

Education

Ph.D., Managerial Economics and Strategy, Northwestern University

B.A., Economics, Wayne State University, Detroit

Professional Experience

  • 11+ years of IT Experience
  • Director of Central Algorithms, Economics, and Science Executive with years of experience in e-commerce, U.S. federal government, and academics.
  • Building and leading successful data science, economics, and machine learning teams, working both with experimental and with observational/real-world data
  • Led a team of twenty data scientists, economists, engineers, and machine learning scientists, analyzing the effectiveness of Amazon’s worldwide marketing spend.
  • VP of Data Science with a Data Science Certificate.

Previous Company

Amazon

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Postdoctoral Associate

Zhi Chong Lin

Zhi Chong Lin
New York, New York - United States
Base ID: 71542

Education

Ph.D. in Quantitative Computational Biosciences, Baylor College of Medicine

Professional Experience

  • Invent and implement a new and interpretable neural network algorithm that converges 35% faster, reduces 200 times of parameters, and marginally outperforms (AUROC>0.88) traditional neural network in PyTorch.
  • Merged and cleaned data from 3 databases and generated a network of 215,000+ drug-gene-disease associations
  • Implemented and validated graph-based diffusion in Python to predict associations with >90% precision
  • Wrote report with interactive visualization of the analysis of 5,500 job descriptions (1,100+ views in a week)
  • Decreased 94% of time spent in manual annotation by creating a machine learning pipeline using Scikit-learn
  • Postdoctoral Associate & Data Science Certificate

Previous Company

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Data Science Vice President

Jonathan Lewis

Jonathan Lewis
Willing To Relocate Anywhere in the United States
Base ID: 46111

Education

2019 – Technical Leader Program | Carlson Executive Education

2010 – Masters | Healthcare Administration | University of Minnesota

2007 – Bachelor of Arts | Philosophy and Great Ideas | Carthage College

Professional Summary

  • A Data Science Vice President with 11+ years in the market.
  • Created a world-class data science team and expanded it globally to 23 people 
  • Generated $17M in cost savings by improving adherence machine learning models in 2018 
  • Led 2019 Medicare Data Science strategic planning and identified key areas of focus that would differentiate UnitedHealthcare from competitors 
  • Founded the Machine Learning Center of Excellence to identify emerging trends and create best practices for machine learning throughout the enterprise  
  • Established end-to-end machine learning processes for model creation, validation, design, and deployment, reducing model completion times by 42%

Previous Company

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Data Science Manager

Mark Kenneth

Mark Kenneth
Willing To Relocate Anywhere in the United States
Base ID: 68783

Education

  • 2010 – Msc.  Mathematics – University of North Texas

Professional Experience

  • +10 years of Extensive experience with Machine Learning & Data Mining Algorithms for solving Business Problems. 
  • Highly technical Mathematical background & training.
  • 9+ years of a proven track record of applied data science in challenging fields.
  • Reputation for being the go-to person for solving poorly formulated, ambiguous, challenging problems.
  • Always ensures products and solutions have a meaningful impact and are not just an exercise in academics.

Previous Experience

ANSIRA

Certificates

MFE Exam/3

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