Tech Talent Vault

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Chief Data Officer

Michael Keller

Michael Keller
Willing To Relocate Anywhere in the United States
Base ID: 64821

Education

Bachelor of Science in Computer Science, Southeastern Louisiana University

Professional Summary

  • IT  Executive, Entrepreneurial Data Leader,  and Agent  for  Change.
  • Accomplished in building and globally deploying enterprise data solutions, led  teams  of 230 +  and  budgets  of  up to  $25M.
  • Strengths include data integrations and solutions delivery.
  • Deep expertise and numerous successes in turning around failed initiatives, transforming global e-commerce platforms, and architecting complex enterprise data solutions, while setting realistic roadmaps and plans for execution.

Previous Company

Dell, Inc.

Certificates

Six Sigma & CMM

Amazon Web Services Cloud Practitioner

Scrum Master Certified (SCM)

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Azure Cloud Engineer

Raul Lammens

Raul Lammens
San Francisco, California - United States
Base ID: CH0783

Education:

MS in Computer Science at the University of Washington

Professional Summary:

  • 10+ years of experience in Information Technology, with hands-on experience in Cloud, Systems Engineering and Application Development
  • Domain in integration technologies such as Azure for DevOps, Jenkins, Puppet, and Spinnaker. 
  • Application server technologies, cloud application design, software architecture and practices (Agile, SCRUM, ALM)
  • Deep knowledge of cloud platforms and services in Azure
  • Strong working knowledge on Azure development/ Cloud Security/ Cloud DevOps services with a background in Java/.Net/Python.
  • Hands-on experience across multiple scripting technologies and tools such as JSON, Python, Bash, Shell, PowerShell

Previous Company:

3M

Certificates:

Microsoft Certified: Azure DevOps Engineer

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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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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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Android Developer

Oliver Williams

Oliver Williams
Willing To Relocate Anywhere in the United States
Base ID: 73635

Education

Brooklyn College, Bachelor of Science, Computer Science

Professional Experience

  • 10+ years in the IT Industry
  • 8+ years as a Software Developer and Mobile Application as an Android Developer
  • Developed Applications using RESTful, JAVASCRIPT, C++, and APIs to meet the client specifications.
  • Developed Mobile Game App for the Blind Using Phaser JS, JavaScript, HTML5, CSS, Cordova, and externals API’s (Released on Google Play Store).
  • He enjoys being challenged and engaged with different projects that require him to work outside his comfort and knowledge set. 
  • A tech professional who cultivates the idea of continuing to learn new languages and develop new techniques. He strives to be the best Android Developer he can be in any given capacity.
  • Worked with reactive and multithreading functionalities through the development process to grant the user more stable and faster applications.
  • He worked on implementing an Android SDK for Multi-Seemless project restructuring and deployment throughout multiple Android Applications.
  • Developed Mobile Game App for the Blind Using Phaser JS, JavaScript, HTML5, CSS, Cordova, and externals API’s (Released on Google Play Store).
  • Self-Developed and implemented both the back-end and front-end crime reporting app.
  • Worked with small businesses around the area to update and implement technological enhancements such as building Websites, and Mobile Application Development to effectively enhance their business model.

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AWS Solutions Architect

Erick Montana

Erick Montana
Willing To Relocate Anywhere in the United States
Base ID: 70745

Education

Georgia TechMaster of Science – Analytics

Professional Experience

  • Delivered demos, webinars, and workshops for Enterprise customers and GSI partners that define how to use DSS as an orchestrator for different AWS Cloud services to compute data (Athena, Redshift, EMR for Spark), store data using RDS (PostgreSQL, MySQL, Oracle) and operationalizing predictive models through SageMaker and DSS’s API deployer platform
  • Guide Partners and Customer on how to build and implement the architecture requirements for DSS on AWS using their internal services, i.e., EC2, VPC, IAM, EKS, etc
  • Managed a team of CSE’s and developed instructions to implement Alteryx’s new SaaS Predictive software suite called Promote, a model deployment platform composed of Docker, Docker Swarm, Linux (CentOS 7), Python, R, and PostgreSQL that assisted customers with Operationalizing predictive models and eliminating silos between Data Scientists and Developers
  • AWS Solutions Architect with an Associates Certificate

 

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