Candidate Information Name Available: Register for Free Title Machine Learning Project Management Target Location US-WA-Seattle Email Available with paid plan Phone Available with paid plan	20,000+ Fresh Resumes Monthly     View Phone Numbers     Receive Resume E-mail Alerts     Post Jobs Free     Link your Free Jobs Page     ... and much more Register on Jobvertise Free
Search 2 million Resumes Keywords: City or Zip:	Related Resumes Project Management Machine Learning Redmond, WA Machine Learning Data Scientist Seattle, WA Data Analytics Machine Learning Seattle, WA Machine Learning Software Development Kirkland, WA Machine Learning Manual Testing Redmond, WA Data Scientist Machine Learning Bellevue, WA Senior Machine Learning Engineer Seattle, WA

Candidate's Name
Street Address
PHONE NUMBER AVAILABLEEMAIL AVAILABLEOBJECTIVETackle business problems through the development of actionable data driven protocols that employ impactful: Data mining, statistical analysis, visualization, and conceptualization of aggregated data summaries for Enterprise Resource Planning within organizations and industries.EXPERIENCEDisrupt Synergies Stockholm, SwedenCo-founder and Chief Technology Officer (2016-present)A Data Technology Startup that serves Nordic Enterprises (Sweden, Norway, Finland, and Denmark) for Strategic Licensing Agreements and Project Management of: Cloud, Data Science, Natural Language Processing, and Distributed Systems Engineering Platforms to bridge work break down structures and optimize organizational performance between requirements-based backend of a business/industry and its front end UX/UI scaling enterprise solutions.Over $US350M under management in 2021; migrating MIS/BIS for data warehousing, cloud computing, within organizations in the: Nordic Military, Pharmaceuticals, Publishing, and Alternative Energy Industry. 7 years in operation with annual increases in client revenues averaging 12-33%Extensive use of Artificial Intelligence, Machine Learning, and Visualization tools: Kafka, Coursera, TensorFlow, PyTorch, and Tableau, to leverage enterprise data mining for enterprise operational flow and profits optimization.Pacific Bauhaus Agri-Ventures Coyhaique, ChileCo-founder and Chief Technology Officer (2006-2016)Building and applying Machine Learning Models and Statistical Graphics Models for best practices within the Agroforestry Industry and Commoditization of Forestry Logging in Patagonia Chile. Predictive, Prescriptive, Descriptive, and Diagnostic Analytics Framework provisions digitally Applied to Logging Commerce while Portfolio Managing cross functional teams of Agro-foresters, Climate exchange commodity Traders, Environmental Scientist, Software Developers, Data Engineers, Machine Learning Scientist, and the Central Bank of Chile.Annual Revenues increased 300% in a decade resulting from digital migration of the business and management information systems. Removed siloed servers and implemented multi-server data warehousing, Online Analytics Processing (OLAP) and Online Transaction Processing (OLTP), introducing SQL applications to extract, load, and transfer (ETL), and apply data previously lost in the absence of Data Warehousing Framework.H2KNOW Group, Maui, HawaiiSoftware Development Team Data Analyst (2002-2006)Scaled systems development lifecycles (SDLC) for MS software suites.Scripted in C# and C++ for engineering/creations team VBA and EXCEL 2007EDUCATIONColorado Technical University Bachelor of Science Project Management (2014-2018)Colorado Technical University Master of Computer Science Data Science (2018-2021)QUALIFICATIONSStrong experience scripting in Java, C++, C#, Python, Hadoop, R, Julia, RUST, and Javascript.Intermediate level in SQL, NoSQL, MySQL, SQL lite, ORACLE, and PostGreSQL.Intermediate knowledge of M Language, Data Analysis Expressions (DAX) and PowerQuery.Working knowledge of Microsoft Azure, SAP, and SQL Management Platforms.Proficient in Data modeling, ad-hoc data analysis, and dashboard development.Able to develop analytical datasets and data pipeline for data warehousing in Redshift AWS S3 and EC2), Google BigQuery, Snowflake, Oracle Exadata, Azure Synapse Analytics, and SAP BW.