Shane Landry Email and Phone Number

• From proof of concept to production, developed data science, AI, data analytics, and ML engineering solutions using Databricks, Azure, Python, Spark, and SQL.• Applied knowledge of unsupervised/supervised ML techniques using XGBoost, Random Forests, Decision Trees, K-Nearest Neighbors (KNN), Logistic and Linear Regression, Support Vector Machines (SVM), and Autoencoder Neural Networks.• Designed, built, and maintained ETL pipelines, model deployment pipelines, code repositories, GIT flows, and CI/CD solutions using Databricks, Azure DevOps, and YAML.• Set up and maintained solutions for data warehousing, 150 transaction per second streaming jobs, batch jobs, alerts, and anomaly detection, using Delta Lake, Delta Tables, and Spark.• Drove 5%-15% reductions to fraud rates and 10%-20% increases for acceptance rates for new and established customers in the USA, Latin America, and Asia-Pacific markets.• Supported from-scratch standup of Graph DB modeling and analysis tools using Neo4J and Cypher, including graph ML algorithms, graph databases, and training pipelines.• Communicated project results to senior decision makers, translated product team requests into project plans, and supported project management using Jira, Confluence, and Agile.

• Supported the stand-up of over 10 new lines of business through data analysis, visualizations, and reporting of product sales, performance metrics, vehicle logistics, inventory management, and survey data for a Fortune 500 company.• Programmed in Python and SQL for data exploration, data wrangling, and feature engineering for highly varied data sets in both sandbox and production environments.• Designed and presented simple yet informative data visualizations using Tableau.• Cleaned data sets for use in ML models using Python and SQL.• Developed new prototype data analysis processes, wrote technical documentation, and trained others in their use.

• Excelled in technical translation from standard operating procedures to marketing content for over 20 technical topics, including data science, for audiences of all backgrounds.• Wrote SOPs, white papers, blog posts, technical manuals, training content, and more.• Explained highly technical content on various topics, to both technical and non-technical audiences, using a variety of writing styles and tones.• Managed all marketing, sales, accounting, lead generation, and customer relations.

• Taught English as a second language to Japanese students of all ages and skill levels. • Provided educational counseling for individual students to help them define and meet their goals.• Collaborated with a multi-cultural staff on teaching, marketing, and sales projects.

• Optimized prototype PCB manufacturing processes through data analysis, statistical analysis, Statistical Process Control (SPC), and LEAN/Six Sigma methodologies.• Increased yields by 15% through root cause analysis of defects.• Wrote data reports, created informative visualizations, and communicated results to technical and non-technical stakeholders.• Managed the purchase and installation of multi-million-dollar production machines.

• Serviced, installed and maintained complex spectroscopy systems at coal power plants both domestically and internationally in field condition temperatures of up to 160 F.• Used data analysis to mine large data sets and identify correlations between laser spectroscopy data and power plant performance.• Used Labview to remotely operate mechanical equipment, troubleshoot electronics, align optics, adjust routines, and take measurements.

• Researched 15 experiments in -152 F conditions at the South Pole Research Station.• Completed routine data analysis, data reports, and maintained complex equipment.• Coordinated a complex schedule of deadlines involving many concurrent projects with varying scopes, ensuring all projects were completed on time and within budget.• Led on-station firefighting team, directing responses to emergency situations.• Received the Antarctic Service Medal for wintering over in one of the toughest environments on Earth.

• Used data analysis, statistical analysis, JMP, Design of Experiment (DOE), SPC, and Gage R&R to increase cost savings by 15%, throughput by 38%, and yields by 30%.• Developed data analysis tools and manufacturing processes from prototype to production.• Wrote standard operating procedures, training manuals, and technical documentation for a complex semiconductor manufacturing process and advanced metrology equipment.• Managed and trained a manufacturing team of 8 people.

• Used data analysis, statistical analysis, JMP statistical software, and semiconductor modeling to increase solar cell performance by 15% and reduce process waste by 25%.• Modeled and simulated solar cells using Finite-Element-Modeling (FEM) techniques.• Produced solutions that increased cost efficiency by up to 40%. • Increased throughput by significantly reducing one measurement step from 41 days to 3.• Managed a metrology department and designed new measurement techniques.