Tech Talent Vault

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Data Science/Operations Research Analyst, Lead

Jake Linus

Jake Linus
Willing To Relocate Anywhere in the United States
Base ID: 71568

Education

Doctor of Philosophy, Biology (Bioinformatics) University of Houston

Master of Science (Management Information Systems) Wright State University

Professional Experience

  • 20+ years experience with Jupyter Notebook, Microsoft Visual Studio, Cygwin, Eclipse, XCode, Android Studio, RStudio, and MixTex (Latex) software development environments.
  • 20+ years experience in OOD algorithm development using C++, C#, Objective C, Java/JavaScript/JScript, VB, R, MatLab, Julia, Python, ASP/.Net, CGI/Perl, and Latex (back-end, front-end, and GUI-based software), including Pandas, SciKitLearn, MLBench.
  • 20+ years of experience in web development using HTML/XML/CSS and combinations of languages and databases.
  • 13 years of experience with big data applications, including data mining, biological modeling, standard statistical analysis, and, recently, machine learning/artificial intelligence platforms
    including TensorFlow and the Microsoft Cognitive Toolkit.

Previous company

The United States Air Force

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Data Science Manager

Joseph Thomas

Joseph Thomas
New Jersey, Jersey City - United States
Base ID: 65302

Education

2009 – B.S. Electrical Engineering & B.S. Computer Science – Texas Tech University

Professional Experience

  • Global technical leadership experience with 10+ years of professional experience.
  • Leading the global Computer Vision / AI organization, responsible for researching, developing, and delivering market-disrupting production-grade technologies to the automotive insurance and repair industries.
  • Develop and maintain technical roadmaps, project schedules, staffing plans, and budgets to align with product priorities, sales needs, and financial targets
  • Delivered technical presentations at trade shows, public seminars, and private events with up to 200 attendees.
  • Staffed and managed a team of 5 controls engineers researching and implementing novel control algorithms and hardware for Extreme Ultraviolet (EUV) light sources used in semiconductor manufacturing.

Previous Experience

ASML

Certificates

AI & Machine Learning Certificate

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Advisor / Head of Data Science

Annika Orlov

Annika Orlov
Willing To Relocate Anywhere in the United States
Base ID: 74814

Education

Certificate, Global Emerging Leader, Harvard University, Manage Mentor Leadership Solutions.

Ph.D., Physics and Mathematics, Kirensky Institute of Physics, SB Russian Academy of Sciences.

M.S., Physics and Engineering, Reshetnev Siberian State Aerospace University, Krasnoyarsk, Russia.

Professional Experience

  • A proven leader with a passion for data. An ability to analyze complex situations, and develop creative solutions.
  • Subject Matter Expert advising in Data Science, Machine Learning, Deep Learning, AI, eCommerce, Healthcare, Finances.
  • Head of Data Science with knowledge in algorithmic solutions, quantitative modeling, image processing, behavioral targeting modeling.
  • Worked with Agile team of full-stack engineers. Env: AWS, Cloud Computing, Google Analytics, Google Big Query.
  • Managed innovative DS and AI projects focused on seeking solutions to real-world problems.

Previous Company

CENTRO, Inc.

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Senior Artificial Intelligence Researcher / NLP Engineer

Gautam Mohar

Gautam Mohar
Willing To Relocate Anywhere in the United States
Base ID: 71019

Education

M.S in Computer Science, New Jersey Institute of Technology

Professional Experience

  • Built an AI framework consisting of a Deep Convolutional Neural Network for identifying patterns in the historical datasets.
  • Improved the analyst consensus from 52% to 74% for predicting the Lines of Influence in Stock Market using the Natural Language Processing framework and financial data.
  • Extract meaningful topics out of a corpus of large text data or real-time streaming data. Reduced the manual human effort for hierarchical topic discovery from an average of 140 individual hours across 500,000 to 1 million tokens to less than 2 minutes.
  • Led a team of data scientists and software engineers to source data from multiple data sources such as DBPedia, WikiData, NewsAPI, etc., and helped them perform ETL transformations/analytics on it.
  • Improved the business value and efficiency for automatically validating the incoming text data from multiple sources and the benchmark was more than 95% of improved accuracy.
  • Summarized huge amounts of real-time streaming multi-modal data with regards to the specialized topics that can change on a daily basis. (Approximately 9 billion tokens of text data were summarized over a period of 24 hours).
  • Artificial Intelligence Researcher & Data Science Certified

Previous Company

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