Tech Talent Vault

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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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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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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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Cloud Engineer

Roberto Gimenez

Roberto Gimenez
Tampa, Florida - United States
Base ID: 76011

Education

  • Miami Dade Community College – Miami, FL
  • New Horizons – Computer Learning Centers

Professional Experience

  • 16+ years as an IT professional. Highly skilled Solutions Architect.
  • 15+ years as a Multi-Cloud Enterprise Solutions Architect with vast migration and security experience.
  • Solutions Architect Cloud professional who worked for highly secure hybrid cloud infrastructure with end-to-end encryption.
  • Expertise with securing cloud platforms using best practices, control frameworks, and least privilege.

 

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Software Developer Manager

Ahan Bhansali

Ahan Bhansali
Willing To Relocate Anywhere in the United States
Base ID: 75189

Education

Anna University – Bachelors of Engineering, Electronics and Communications Engineering

Professional Experience

11+ as a Software Developer

As a Software Developer and SCRUM Master in the Core Data Platform Engineering team for a healthcare technology company, I help build a scalable, hi-fidelity, centralized data platform and integrate a suite of business intelligence applications to improve patient care and efficiency for over 400 hospital systems.

As a tech professional, he provided support and new feature development for a highly configurable SharePoint-based enterprise product built on principles of SOA to aggregate data from several disparate systems containing compressor information – real-time SCADA readings, work orders, downtime, and predictive analytics.

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Data Science Manager

Mark Kenneth

Mark Kenneth
Willing To Relocate Anywhere in the United States
Base ID: 68783

Education

  • 2010 – Msc.  Mathematics – University of North Texas

Professional Experience

  • +10 years of Extensive experience with Machine Learning & Data Mining Algorithms for solving Business Problems. 
  • Highly technical Mathematical background & training.
  • 9+ years of a proven track record of applied data science in challenging fields.
  • Reputation for being the go-to person for solving poorly formulated, ambiguous, challenging problems.
  • Always ensures products and solutions have a meaningful impact and are not just an exercise in academics.

Previous Experience

ANSIRA

Certificates

MFE Exam/3

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