Tech Talent Vault

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Lead Data Science/Operations Research Analyst

Jake Linus

Jake Linus
Willing To Relocate Anywhere in the United States
Base ID: 71568

Education

Doctor of Philosophy, Biology (Bioinformatics) University of Houston

Master of Science (Management Information Systems) Wright State University

Professional Experience

  • 20+ years experience as an IT Professional. Experienced with Jupyter Notebook, Microsoft Visual Studio, Cygwin, Eclipse, XCode, Android Studio, RStudio, and MixTex (Latex) software development environments.
  • 20+ years experience in OOD algorithm development using C++, C#, Objective C, Java/JavaScript/JScript, VB, R, MatLab, Julia, Python, ASP/.Net, CGI/Perl, and Latex (back-end, front-end, and GUI-based software), including Pandas, SciKitLearn, MLBench.
  • 20+ years of experience in web development using HTML/XML/CSS and combinations of languages and databases.
  • 13 years of experience as a Data Scientist professional with experience in big data applications. Including data mining, biological modeling, standard statistical analysis, and, recently, machine learning/artificial intelligence platforms including TensorFlow and the Microsoft Cognitive Toolkit

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Postdoctoral Associate

Zhi Chong Lin

Zhi Chong Lin
New York, New York - United States
Base ID: 71542

Education

Ph.D. in Quantitative Computational Biosciences, Baylor College of Medicine

Professional Experience

  • Invent and implement a new and interpretable neural network algorithm that converges 35% faster, reduces 200 times of parameters, and marginally outperforms (AUROC>0.88) traditional neural network in PyTorch.
  • Merged and cleaned data from 3 databases and generated a network of 215,000+ drug-gene-disease associations
  • Implemented and validated graph-based diffusion in Python to predict associations with >90% precision
  • Wrote report with interactive visualization of the analysis of 5,500 job descriptions (1,100+ views in a week)
  • Decreased 94% of time spent in manual annotation by creating a machine learning pipeline using Scikit-learn
  • Postdoctoral Associate & Data Science Certificate

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AEM Sr. Developer/Architect

Mandip Patel

Mandip Patel
San Francisco, California - United States
Base ID: 4733

Education:

  • 2010-Masters of Computer Science
  • University of South Florida
  • 2005- Bachelor of Computer Science, MIT, Harvard

Professional summary:

  • 7+ years of software development experience using Adobe AEM/CQ, JAVA/J2EE based application.
  • Expertise with AEM stack like OSGI, Sling, CRX, Felix, DAM, Sling resolutions,
  • Dispatcher, Author and Publisher on CQ 5.6, AEM 6.2, 6.3 AEM 6.4 & AEM 6.5.
  • Implementation experience on 3 different projects.
  • Customer facing experience

Previous Company:

Adobe, Salesforce

Certificates:

AEM Certification

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Lead BI Engineer

Dorian Akanbi

Dorian Akanbi
Willing To Relocate Anywhere in the United States
Base ID: CH0397

Education

2006- Bachelor of Science in Information Technology – Florida State University

2009- Master of Business Administration, Kellogg School of Management – Northwestern University

Professional Experience

  • 9+ years as a Business Intelligence professional with experience working with Tableau, Cognos, PowerBI, and SAP.
  • Extensive SQL, MySQL, PL SQL experience.
  • Provide database coding to support business applications using T-SQL.
  • Server 2008 and Oracle SQL Developer and Developed T-SQL Statements for loading data into Target database.
  • Lead BI Engineer with BI & Analytics Professional Certificate.
  • Oracle Certified Master (oracle database 11g Administrator)

Previous Company

BainCapital

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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

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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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