Tech Talent Vault

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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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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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Senior Data/AI Scientist

Adya Dara

Adya Dara
Los Angeles, California - United States
Base ID: 71560

Education

Ph.D. Chemical Engineering, University of Tennessee, Knoxville, TN

Professional Experience

  • 10+ years in the IT space.
  • AI Scientist, Data Scientist with Engineering, and Computational Science background.
  • Exploring the capabilities of modern artificial intelligence and deep neural network solutions to practical problems.
  • As a Data Scientist professional, experimenting and implementing data analysis methods with efficient tools to derive accurate outcomes from big data.
  • Experience in developing end-to-end ML pipelines and deployments. Provided computational collaboration to scientific research through molecular models, simulations, and data analysis in academia.

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AWS Architect

Karishma Joshi

Karishma Joshi
Willing To Relocate Anywhere in the United States
Base ID: 68290

Education

Ph.D., Data Science in Cybersecurity, KALASALINGHAM UNIVERSITY, CHENNAI, INDIA

Master of Computer Application, UNIVERSITYOFMADRAS, CHENNAI, INDIA

Master of Business Administration, BHARATHIDASAN UNIVERSITY, TRICHY, INDIA

B.Sc., Computer Science, MADURAI KAMARAJAR UNIVERSITY, MADURAI, INDIA

Professional Experience

  • 15+ years of problem solving and technical leadership.
  • Versatile innovator and management style able to see the “big picture”.
  • Recognized for consistent development of processes and procedures to streamline operations and enhance revenue performance.
  • AWS Cloud Solutions Architect with Project Management and AWS certifications.

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Director, Cloud Technical Solutions Engineer

Tara Begum

Tara Begum
Willing To Relocate Anywhere in the United States
Base ID: 68400

Education

MS in Electrical and Computer Engineering, Dean’s list – Purdue University

Master of Technology in Electronics Engineering NITT (National Institute of Technology)

BS in Electronics Engineering Govt College of Engineering

Professional Summary

  • A Cloud Technical Solutions Engineer with 20+ years of strong leadership skills in technology industries
  • Expert in Software Development Lifecycle Management with proven success in taking projects from concept to shipment with high-quality deliverables
  • The successful implementer of transformation from Waterfall to Agile Scrum methodology
  • Strong work ethic and the ability to build lasting professional relationships
  • An AWS certified professional with solid experience in building strong teams and motivating employees to perform at their maximum potential
  • Widely known for providing an excellent customer experience
  • Exceptional analytical skills and excellent drive for results

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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.

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