Alex Sheardown
Washington, *****, *********.*********@*****.***, https://www.linkedin.com/in/alexsheardown/ Related Experience:
Machine Learning Intern, Viewpoint, Seattle, WA June - Sept 2019
• Wrote technical documentation
• Developed prediction models using Neural Network, Random Forest, and K-Means
• Generated reports using SQL and C#
• Designed automated quality standards testing for SQL database Computer Science Instructor, ID Tech, Bellevue, WA June - Sept 2018
• Taught a class how to code in Java
• Solved technical issues for multiple pieces of hardware
• Debugged projects in Java, C/C++, and Python
• Coded multiple projects with the Agile method
Education:
Bachelor of Computer Science March 2020
Minor: Mathematics
Minor: Cyber Security
Specialty: Data Science
Central Washington University, Ellensburg, WA
GPA: 3.63
Projects:
Revenue Prediction – (Machine Learning) July - Sept 2019
• Developed a Random Forest model for predicting the revenue for construction projects
• Applied TensorFlow, scikit-learn, and Azure ML to research and development
• Conducted annotated detailed reports of my research
• Trained and deployed models to work at scale
Secure File Sharing Network Sept 2019 - March 2020
• Designed a hybrid Block Chain Network that combined both private and public models
• Created a secure server that hosted SQL and React
• Applied cryptography and security fundamentals
• Integrated SQLite, Docker, and Kubernetes
Texting App Oct - Nov 2018
• Engineered the program to use Multi-threading systems in C/C++
• Initialized a server and client system using sockets
• Implemented SHA-256 encryption and
• Utilized regression and unit testing
Database Correlation Scanner June - July -2019
• Engineered a database scanner using C# and SQL
• Developed analytical system for finding incongruencies and generating reports
• Built the program using the Agile method for Linux/Window operating systems
• Applied statistical and machine learning methods to analyze large, complex data sets Professional Skills/Certifications:
Computer Languages: Java (6yrs), C/C++ (6yrs), SQL (4yrs), C# (4yrs), Python (3yrs), JavaScript(3yrs) Development Software: Azure ML, Cygwin, TensorFlow, Scikit Learn, Gitlab, Node.js Certifications: Stanford Coursera Machine Learning Present