Justin R. Hobbs

adby5x@r.postjobfree.com Williamsburg, VA 757-***-****

https://github.com/JustinHobbs9108 https://www.linkedin.com/in/justin-r-hobbs/ A self-motivated, detail-oriented Data Analyst with a background in the service industry. Keen to learn and provide meaningful insights through data science, data analytics, and visualization. Key strengths lie in developing a focused understanding of business needs through applied communication skills and providing adaptable solutions backed by data analysis. Demonstrated critical, analytical writing and problem-solving abilities. Core competencies include research and analysis, customer service, strategic planning, team leadership, technical writing, and cost-benefit analysis. TECHNICAL SKILLS

Tools: Microsoft Excel, VBA, Python, Pandas, NumPy, SQL, NoSQL, JSON, HTML/CSS, Beautiful Soup, JavaScript, D3.js, Plotly, Leaflet, R, Tableau, Apache Hadoop, Machine Learning, GitHub, Big Data, Statistics Databases: MongoDB, Postgresql

Other: Flask, Git, Command Line

PROJECTS

NBA Hurts

Statistical Injury analysis of injuries within the NBA. Utilized Python and Pandas for data cleaning and parsing, MatPlotLib for data visualization. Team later applied machine learning to predict injuries of incoming rookies based on historical data based on 2010-2018 historical data.

Mission to Mars

A full-stack web scraping project to retrieve Mars-related data from various websites, store data in a MongoDB database and populate a web page. Data updates in real-time at the click of a button on the web page. Key tools: Python, Beautiful Soup, Splinter/Selenium, HTML/CSS/Bootstrap.

Poke-Data-Visuals

Built a full-stack analysis tool website to display key stats of Pokemon. Utilized a MongoDb (noSql) database, a HTML/Javascript website, Plot.ly visuals, and a Flask server to have a searchable website that allowed side-by-side comparisons between any two Pokemon in the database. WeatherPy

An analysis of global changes in weather in relation to latitude for over 500 random cities. Utilized the OpenWeather Rest API and Python to perform API calls and create non-duplicate summary statistics and Matplotlib to create scatterplots of each relationship.

EDUCATION

University of Richmond, Richmond, VA

Data Analytics Visualization Certificate 2019

A 24-week intensive Boot Camp program focused on gaining technical programming skills in VBA, Python, Plotly, R, JavaScript, D3, SQL Databases, Tableau, Big Data, and Machine Learning George Mason University, Fairfax, VA

Bachelor’s Degree in Economics 2015

● Economics course work included analyzing federal government program performance data and reporting results.

● Developed analytical skills that include applying Cost/Benefit analysis to a variety of industries and organizations such as the nuclear energy industry, the oil industry, and federal programs. Other Academic and Technical Coursework 2015 – Present Additional courses in Mathematics, Computer Science, Data Science, and Business Accounting in preparation for graduate school.