Ryan Elson Email & Phone Number

South Lake Tahoe, CA, US

• Eliminated need for parallel ETL pipelines by creating dimensional tables and implementing their use across numerous systems (SQL Server)
• Automated data ingestion processes from Oracle, Sharepoint, Lotus Notes, and flat files via Python and SSIS packages
• Created new reporting capabilities by building out analytics pipelines in SQL Server
• Moved team to version-control code and scheduling software (BitBucket, Bamboo) to run ETL processes on shared servers

Remote

• Identified mass movements in broiler chickens to improve animal welfare and increase farm productivity using computer vision (programming in Python)
• Built custom object detection model built on MXNet framework with Amazon Web Services (AWS) Ground Truth and Sagemaker. Used model to perform object tracking with SORT algorithm.
• Received commendation from AudioT for my work and mentoring/support of other students.
• Capstone Project for Master’s degree practicum.

• Implemented TF-IDF, a natural language processing (NLP) measure, with Python and R, for group project to analyze a short-text corpus of political committee names to identify terms associated with different political.
• Used R to predict the year a song was released with various models (Random Forest, Boosting, PLS, LASSO, Ridge, Stepwise, Linear Regression) to minimize MSE, k-means clustering to find natural clusters, and TF-IDF to.
• Correctly classified car images for a non-visual binary feature (high/low MPG) with 66% accuracy, multinomial (8 classes) body type classification with 51% accuracy, and multinomial (196 classes) Make, Model, Year.
• Wrote machine learning code in Python and R for assignments including principal component analysis (PCA), k-means clustering, image compression, eigenfaces and facial recognition, random forest, boosting, variable.
• Data Science and Data Analytics Coursework includes Regression, Machine Learning, Data Mining and Statistical Learning, Visualization, Simulation, Analytical Modeling, High-Dimensional Data Analytics

Minden, Nevada, United States

• Led cross-departmental, mission-critical projects, including new conformal coating qualification to improve product quality and laser serialization to allow for component-level tracking
• Solved conformal coating dewetting problem for Six Sigma Green Belt project to minimize the risk of field failures and avoid a plant-wide stop order. Awarded best project of the month by Baker Hughes, a company of.
• Minimized rework and scrap by monitoring probe assembly processes using SQL databases
• Streamlined production process and increased throughput by creating and installing a new production line for highest volume PCBA (printed circuit board assembly) products
• Determined build and tune methodology for novel, contactless torque sensor as part of NTI (new technology introduction) and NPI (new product introduction) teams

Lyons, CO

• Planned and executed plant projects, preventive, and corrective maintenance, including planning and executing weekly Kaizen/Continuous Improvement events to eliminate waste
• Used time-series data and control charts and machinery health testing data to make informed decisions and drive predictive and condition-based maintenance
• Acted as backup programmer for basic PLC functionalities
• Interim/Acting Maintenance Manager as needed
• Identified high-dollar and short-ROI energy saving opportunities by performing energy audits

Lyons, CO

• Supervised and coordinated plant-wide repairs, provided technical expertise, and successfully restarted shipments and production within weeks of a 1000-year rainfall event and 100+ year flood

Master Of Science - Ms, Analytics, 4.00

• Wrote machine learning code in Python and R for assignments including principal component analysis (PCA), k-means clustering, image.

Bsee, Electrical Engineering, 3.76

Activities and Societies: ISU Karate Club• Emphasis on Communications and Signal Processing • Spanish minor • National Collegiate.

Six Sigma Green Belt Certification