Tech Talent Vault

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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, 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.

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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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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

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DevOps Data Engineer / Programmer DevOps Data Engineer / Programmer

Patrick Holmes

Patrick Holmes
Willing To Relocate Anywhere in the United States
Base ID: 1721

Education

Master of Science, Statistics – New York University

Professional Experience

  • Big Data expert with extensive software engineering and data scientist skills, an insatiable intellectual curiosity, and the ability to mine hidden gems located within large sets of structured, semi-structured, and unstructured data.
  • A Senior DevOps Engineer who is able to leverage a heavy dose of mathematics and applied statistics with visualization and a healthy sense of exploration using predictive analytics is another area that he thrives in.
  • A Data Science professional experienced in Spark, Scala, and Java are tools that he primarily used to gain insight into our data as well as leverage it.
  • Using Spark to process large data sets, Kafka, and AWS to Stream data as well as to get real-time analytics.

Previous Company

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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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