Tech Talent Vault

All tech talent candidates names and images have been substituted for privacy reasons*

Lead Data Science/Operations Research Analyst

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 as an IT Professional. Experienced 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 as a Data Scientist professional with experience in 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

Show more
Machine Learning Engineer: NLP Specialist

Clyde Marx

Clyde Marx
Willing To Relocate Anywhere in the United States
Base ID: 71555

Education

MS, B. Eng: Physics, Material Science Engineering
SM, Nuclear Engineering & Applied Sciences

Profesional Experience

  • Data Science professional who delivers engineering solutions that systematize management by automating decision-making at the company level. This includes processing unstructured text data (e.g PDFs) into query-able tables of interesting entities.
  • The AI COE resides at the intersection of all core activity within Fidelity investments by providing AI-driven insights for the $5.7 T of assets managed for clients.
  • A Machine Learning Engineer who implemented ML & data science techniques to process call data leveraging knowledge graphs, ontology, named entity recognition, speech/written language/voice recognition, and interactive chatbots.
  • Data Engineer who published an internal white paper detailing a Laplace smoothing technique he implemented for noise reduction in time series data.

Previous Company

Show more
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

Show more
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 as a tech professional 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.
  • Data Science professional who pioneered technology transformation and optimization projects in multiple companies.
  • Data Scientist skilled in Python, R, SQL, Linux, Big Data, NPL, Analytical Models, Database Architecture, ML, Power BI, and IBM Cognos

Previous Company

Certificates

MLC Exam/4

Show more
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, Kerensky Institute of Physics, SB Russian Academy of Sciences.

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

Professional Experience

  • 20+ years in the Tech Industry.
  • A proven leader with a passion for data. Head of Data Science with 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.
  • A Data Science professional who worked with an Agile team of full-stack engineers. Env: AWS, Cloud Computing, Google Analytics, Google Big Query.
  • a Tech professional who managed innovative DS and AI projects focused on seeking solutions to real-world problems.

Previous Company

CENTRO, Inc.

Show more
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

Show more