Matt Majestic
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Full Stack Web Developer implementing data science solutions from R & Python into production via Docker containers via major cloud providers including AWS, Azure, & GCP.
Skills
- SDLC
- R
- Python
- RESTful APIs
- Data Engineering
- R
- Python
- git
- Linux
- R Shiny
- Azure DevOps
- Github
- Azure
- Microsoft SQL Server
- Oracle
- Apache Spark
Experience
Managing Consultant
Engineering solutions to help increase consultants effciencies for client deliverables. This includes customized containerized environments leading to cost savings of computing resources for common data science tasks within R & Python primarily.
Developer
Developed a crypto & NFT aggregation wallet for effective financial modeling of your portfolio. Aggregated APIs for wallet integrations to get a holistic views of crypto & NFT portfolios. Coded tax functions to see implications of short & long term terms gains on DeFi assets. Provide scratch made authentication along with Google Single Sign On. Payment integration with Stripe.
Full Stack Developer
Contracting part time to build a web application infrasturcture for instructors and students to easily implement computerized adaptive testing. Technologies include: R Shiny, AWS S3, AWS EC2, Shiny Modules.
R Programmer
Contracting part time to build data pipelines and web applications for business/reporting effciency along with distilling Amazon Prime Video/Netflix data to effectively target new viewers of CNN content. Technologies include: R shiny, AWS S3, Snowflake, Comscore, Rmarkdown
R Consultant
Contracted part time to finish a project to enable a verbal exam score submissions for board certification of surgeons. Technologies include: R shiny, AWS S3
R Shiny Developer
Contracted to scale and build shiny apps for massive data distillation for model building for enhanced cross sell of products in the McAfee portfolio.
R Shiny Developer
Led and coded project to build an operation effciency tool using machine learning to better predict customer value to fairly give promotions on equipment and delivery levels.
R Shiny Developer
Developed modules to select promotional events in order to update a database for the field data cleaning.
Data Analystics Consultant
Built an R Shiny app integrating Qualtrics and Salesforce data for more effective reporting.
R Shiny Developer
Developed an app to predict oil and determine the profit after taxes via interactive maps and widgets.
Data Analytics Consultant
Established a data analytics function for the parent company of over 30 subsidiaries with Software as a Solution applications for various verticals in the Small/Medium Business space.
Senior Market Research Analyst
Led the development of a newly formed Market Research/Analytics Department within the Merchant Services Division for one of North America’s largest payment processors.
Analyst
Worked with clients to determine strategies for product development innovation, product pricing and media campaigns using consumer decision behavior analysis. As project lead, directed work on 8 projects generating over $500,000 in revenue, writing proposals, building interactive dashboards, and presentations of findings.
Analytics Specialist
Responsibilities included pulling, cleaning, analyzing, and presenting secondary data findings for Fox and Fox Sports, Discover Student Loans, Sonos, and Fox Theatrical.
Analyst
Worked as part of the Analytics Team onsite at Nestle’s North American Head Quarters. Conducted multidimensional analysis across four categories, including frozen foods, beverage, ice cream, and confections.
Education
Clemson University
Thesis Presented at 2015 SMA Conference on Life History Theory and Affect on Indulgence