Machine Learning Data Science

Justin Pajela

Golden, Colorado ******@******.*** 720-***-**** justin-pajela.com

https://www.linkedin.com/in/justin-pajela/ github.com/justinpajela Skills

API Development, Front-End Development, Cloud Architecture, Agile/Scrum, SQL, Azure, HTML and XML, Programming languages, Data analysis, Testing and debugging, Python and R, Object Oriented Programming, Java, The boilerplate content was inspired by Gayle McDowell. Education

Colorado School of Mines, Bachelor of Computer Science, Track in Data Science Golden, CO

Expected May 2025

• Relevant Coursework: Data Structures, Database Management, Computer Organizations, Software Engineering, Intro to Linux, Intro to Data Science, Machine Learning, Algorithms, Intro to Probability Korea University, Bachelor of Science in Computer Science Seoul, South Korea

Dec 2023

Experience

HOGUE Group, Research Assistant

Golden, USA

06/2024 – Current

• Analyzed extensive datasets on water streamflow and temperatures using R and Python, encompassing data from USGS gages.

• Created visualizations and charts to interpret trends, utilizing critical analysis to assess temperature variations and streamflow patterns.

• Applied machine learning techniques in R and Python to predict water temperatures, improving model accuracy.

• Integrated Google API to extract and process predictive data from MODIS and satellite systems. Keeping Labor Safe, Software Intern 05/2024 – 06/2024

• Integrated Electronic Health Data from EPIC into FRI via custom APIs hosted on Microsoft Azure.

• Designed and optimized database queries, created new relational databases, and managed database calls to ensure efficient data retrieval.

• Developed APIs connecting FRI software to electronic fetal data while ensuring HIPAA compliance and scalability.

• Ensured HIPAA compliance and scalability.

• Contributed to the development of the Fetal Reserve Index (FRI), EFM, and EMR data collection platform.

• Technologies: Python (Flask), React, JavaScript, SQL, REST API, Azure. Projects

NFL Draft Prediction Project

• Applied K-Nearest Neighbors and Support Vector Machine algorithms for NFL draft predictions using combine stats.

• Analyzed and visualized player performance trends using Pandas and Seaborn, generating insightful data visualizations.

• Analyzed CSV data using Python to extract insights on player performance. Personal Portfolio Website justin-pajela.com

• Developed a personal portfolio website using HTML and CSS to showcase projects and skills.

• Deployed and hosted the site on Netlify for continuous integration and seamless updates.

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