Brandon Epperson Email & Phone Number

Mountlake Terrace, Washington, US

Rome, Ga., US

• Conducting research at Berry using exploratory data analysis on the FI/RE movement(Financial Independence/Retire Early)
• Scraped data from various subreddits on the FI/RE movement using Python’s Beautiful Soup and PRAW packages
• Cleaned data using NLP techniques in Python; stopwords removal, stemming and tokenization.
• Used Python’s vaderSentiment package to do sentiment analysis on reddit postings
• Created 3-topic, 5-topic, and 10-topic LDA models to see if there were meaningful topics to be created from FI/RE posts. Judged the LDA models against K-means clustering of the reddit posts
• Use Problem Transformation to run multi-label machine learning algorithms. The target values are topics which were labeled by hand by domain experts.

Miami, FL, US

• Lead Data Science Instructor teaching data science courses in the evenings
• Teach modules: Computing Primer, Programming Concepts, Discovering and Curating Data, Structuring and Analyzing Data, Cleaning and Enriching Data, Validating and Presenting Data, Business Intelligence, etc
• Interact with students and faculty to ensure a growth environment and a fun and engaging experience
• Plan lessons for maximum learning impact and ensure lessons relate to data science industry and everyday life of data professionals

Redmond, Washington, US

• Worked with a team of engineers devoted to resolving issues with the Azure Machine Learning platform
• Resolved Azure cases with moderate/high paying clients (including Premier) as well as Microsoft employees
• Debugged YAML, Conda Dependencies files,.py and.ipynb files, JSON files, config files,.har files and txt files among other file types
• Conducted deep analyses of run logs, build logs, activity logs, execution logs to understand issues related to telemetry, successful building of environments, running of models and pipelines, training script.
• Used platforms and tools like Visual Studio, Azure Machine Learning Service, Azure Machine Learning Studio, PowerBI, Jupyter Notebooks/Lab and a variety of internal tools to resolve client issues
• Used Chromium and Gecko based DevTools (Microsoft Edge, Google Chrome, FireFox) to find issues related to API calls

Redmond, Washington, US

Presented projects regularly to mentor, other trainees, and managerDiscussed machine learning and statistics concepts daily with other trainees and mentor

Durham, New Hampshire, US

For my fellowship through the Sustainability Institute, I worked with a company called New Earth B, a consulting company specializing in social life cycle assessment and social risk. I was tasked with helping New Earth B gather, clean, and assess data used for a social risk mapping.

Manchester, New Hampshire, US

Elliot Health Systems is the largest provider of healthcare services in Southern Maine and needed consultants to help them predict when a patient would fall during their stay at their hospital, Elliot Hospital. Elliot needed consultants to help them improve their falls risk assessment tool so they could better categorize when a patient was at low-risk.

Bandar Baru Bangi, Selangor, MY

NIOSH is a branch of the CDC tasked with conducting research related to workplace injury and illness prevention. The project I worked on for NIOSH was to use NIOSH data to measure the overall impact of distracted driving. The data was pre-processed, cleaned, and evaluated, then presented to NIOSH.

Seattle, WA, US

· Performed social media analytics· Converted data into insights to enhance business decisions· Analyzed and measured the impact of social media activities and presented the results and recommendations to JewelCode management.

Master Of Science (M.S.) In Analytics, Analytics & Data Science

Certification In Data Analysis

Bachelors Degree, Major: Sociology; Minor: Applied Computer Science