Data Analyst Entry Level

PETR BOWLES

**********@*****.***

603-***-****

Keene, NH

www.linkedin.com/in/petr-bowles

github.com/petenar

SKILLS

Python, Java, MySQL

Data Analysis & Visualization -

matplotlib and pandas

Web Scraper Development -

beautifulsoup

Web App Development - Django

and Bootstrap

Machine Learning - decision trees,

random forests, logistic regression,

pca, timeseries, clustering

Data Structures and Algorithms

Database Design

Excel - VLOOKUP, PivotTables, Data

Cleaning

Power BI - Data modeling, DAX,

interactive dashboards

Data Pipeline Automation - API

integration, Selenium automation

EDUCATION

Bachelor of Science

Computer Science &

Cybersecurity

Keene State College

August 2021 - May 2025

Keene, NH

GPA: 3.92

Minor

Mathematics

Keene State College

August 2021 - May 2025

Keene, NH

INTRODUCTION

I am a fresh graduate in computer science looking to advance my skills and knowledge in a professional environment. I continually seek improvement while also stepping up to fill necessary roles within a team. My primary interests are data driven programming, analysis and software development. WORK EXPERIENCE

Research Associate

Athenium LLC

April 2025 - May 2025 Keene, NH

Researched federal funding opportunities to identify viable pathways for project financing through contract partnerships with government agencies Enhanced contract proposals by identifying strategic collaborators to increase appeal to public sector stakeholders

Collaborated on stakeholder-facing presentations highlighting Athenium's technical capabilities and project alignment with government priorities Student Researcher

Keene State College

September 2024 - May 2025 Keene NH

Followed EMS (Electoral Management System) design specifications to implement a MySQL relational database using MAMP and PHPMyAdmin Designed both logical and relational views of the EMS database schema Developed a Java-based GUI to interface with backend database Proposed modern alternatives to legacy technologies, documenting recommended improvements for the next development group RESEARCH/PROJECTS

"Intelligent Modeling of GPU Market Trends for

Dependable Edge and Cloud Resource Planning"

(Dr. Wei Lu, Petr Bowles, Nirmala Tamang, Samuel Lloyd) Pending Publication at WIDECOM 2025

Transformed and refined data for GPU features using normalization and PCA for use in time series predictions

Developed time series models to predict stock trends of GPU manufacturers using existing performance to price metrics Digimon Card Game Stats Tool

Automated the collection of 25,000 card game decklists using BeautifulSoup and Selenium across multiple sources Analyzed and tranformed raw data into statistical insights including card usage rates, format-specific trends, and average deck composition Developed user-facing GUI with filtering and search functionality Prototyped recommendations based on text embedding and vectorization

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