Tech Talent Vault

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Azure Cloud Engineer

Ericka Heckman

Ericka Heckman
Willing To Relocate Anywhere in the United States
Base ID: CH5932

Education

Computer Science, M.S. Tandon – NYU

Professional Summary

  • 11+ years of experience in Information Technology, with hands-on experience in Cloud, Systems Engineering or Application Development 
  • Good understanding of identity solutions in Azure like Azure AD, AD B2C and security recommendations
  • Experience with designing, migrating, implementing, and managing Azure IaaS/PaaS/SaaS including Azure Load Balancers, Application Gateways, Azure DNS, Front Door, Storage Accounts, Virtual Networks, Monitor, Security Center, and Log Analytics, Azure Core Platform: Compute, Storage, Networking, General automation, Azure Automation, Azure CLI, PowerShell scripting
  • 3+ years of hands-on experience using Kubernetes, Docker, Containers
  • Cloud Specialist – Azure Cloud Engineer with Azure Administration Associate Certificate.

Previous Company

Samsung

Certificates

AZ 300, AZ301-, AZ-500, AZ-400

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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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Data Science Vice President

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

  • A Data Science Vice President with 11+ years in the market.
  • 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%

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Data & Applied Scientist II

Ronald Thanh

Ronald Thanh
Kansas City, Missouri - United States
Base ID: 58895

Education

Bachelor of Science in Mathematics/Actuarial Science, Business Minor – University of Texas 

Professional Experience

  • +5 years of professional IT experience as an Applied Data Scientist.
  • Design and implement predictive and prescriptive models to enhance ads monetization $5M+ annually through data regression, rule-based system, and forecasting techniques
  • Consult and construct $10M+ business solutions to help drive product and ad monetization strategy across Microsoft publisher properties from engineering conception to product/feature shipment.
  • Scope and conduct monetization experiments and simulations through A/B and multivariate testing to inform and optimize revenue strategy

Previous Experience

Microsoft

Certificates

P Exam/1, FM Exam/2, MFE Exam/3, MLC Exam/4

 

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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.

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Lead Business Intelligence Engineer

Luis Diadizo

Luis Diadizo
Willing To Relocate Anywhere in the United States
Base ID: CH4043

Education

2008- Bachelor of Science in Computer Science – University of Texas

2012- Master of Business Administration – FIU

Professional Summary

  • 10+ years of Business Intelligence Engineer experience 
  • Extensive SQL, MySQL, PL SQL, Tableau, Cognos, PowerBI, and SAP experience.
  • A Business Intelligence Engineer who works on highly complex and cross-functional BI solutions.
  • A Tech professional who designs, develops, deploys, and supports measure algorithms in the form of Alteryx workflows, complex SQL scripts, and database queries.

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