Tech Talent Vault

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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 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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Data Scientist

Adrian Bailay

Adrian Bailay
Willing To Relocate Anywhere in the United States
Base ID: CH6701

Education

2011- Master of Science in Computer Systems Engineering – Northeastern University

2005- Bachelor of Science in Mathematics University of Huston

Professional Summary

  • 8+ years of experience in data science/machine learning, driving insights from complex data, forecasting, predictive and explanatory analysis, modeling and simulation, optimization, coding in open source programming language.
  • Pioneered technology transformation and optimization projects in multiple companies.
  • Skilled in Python, R, SQL, Linux, Big Data, NPL, Analytical Models, Database Architecture, ML, Power BI, and IBM Cognos

Previous Company

IBM

Certificates

MLC Exam/4

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Director of Analytics

Ivan Zayas

Ivan Zayas
Philadelphia, Pennsylvania - United States
Base ID: 64808

Education

Nanyang Technological University, Singapore – B.Eng (First Class Honors), Mechanical & Production Engineering


University of Wisconsin, Madison, USA – MS, Manufacturing & Technology Management

Professional Experience

  • 20 years of IT Experience
  • Seasoned Digital leader who has designed, developed, and deployed custom digital solutions in multiple industries that delivered innovation and quantified operational improvements.
  • Perceptive product and team management skills as well as using Agile methodology aimed at delivering significant value to stakeholders
  • Led AI, ML, and Deep Learning initiatives developed POCs and MVPs and, scaled promising models into a business centered and owned solutions
  • Consulted, modeled, and analyzed $250 million domestic transportation spend for the US Dept. of Defense, demonstrated savings opportunities of more than 25% at current service levels
  • Director of Analytics – data science expert and analytics certification.

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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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Vice President, Data Science

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

  • 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

Target Corporation

Certificates

Data Tech 2019, NG Healthcare Summit, Unbound Miami Innovation Festival, 2018.

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