David Betts 917-***-****
Data Analyst *******@*****.***
Austin, TX GitHub: /dj-betts
LinkedIn: /djbetts
SUMMARY
Business Intelligence and Data Science Expert with ten years of digital project management and team lead experience. I’m a creative thinker, strong communicators, and innovative leader who’s excited for the next problem. TECHNICAL SKILLS
Python: Pandas, NumPy, SciPy Stats, MatPlotLib, Seaborn, Scikit-Learn, TensorFlow, Flask, Django Data Science: Statistical Tests, Regression, Classification Models, NLP, Cluster Analysis, Convolutional Neural Networks Big Data: AWS EC2, AWS S3, BigQuery, MongoDB
Other: SQL, Linux/Unix, Git, VScode, Jupyter Notebook, Docker, Excel, HTML/CSS, Tableau PROJECTS
Tobacco Purveyor Analysis Tech used: MongoDB, Pandas, SciPy, BeautifulSoup, Matplotlib
● Research, scraped, and built database of product review, size, country, and blend information from multiple tobacco purveyor blogs and websites.
● Feature extraction of tobacco blend information for hypothesis test, and regression analysis.
● Presented analysis for Q1 2021 merchandise initiatives.
● Developed item-based recommender system from mined data for future integration with existing user-data. Opinion Classifier Tech used: MongoDB, Pandas, Numpy, NLTK, Spacey, Gensim, Scikit Learn
● Built and optimized Random Forest Classifier and used NLP to analyze structures of articles and provide third-party verification of content.
● Deployed script on AWS EC2 using metadata from the NYTimes API to scrape over 2 million web pages to AWS S3.
● Developed automated pythonic functions for ad-hoc NLP analysis, research, and reporting of new data. PROFESSIONAL EXPERIENCE
Digital Strategies Project Manager - Cru Austin, TX Jan 2016 - Present
● Developed an item-based recommender system for content on app.
● Defined new user segments for video series by analysing geographic, language, and play time data.
● Managed cross-functional teams through projects from discovery to delivery. Worked within set budget to understand and deliver on business stakeholders’ objectives and technical requirements.
● Demonstrated time management and decision-making skills by directing 5 person team during 3 day, fast-paced international filming project. Creatively implemented customer-centric solutions for stakeholder goals of diversity. Team Lead -Cru New York, NY July 2012 - Dec 2016
● Supervised, trained, and supported a diverse team of volunteers and staff to launch student-led movements on Hispanic-serving Institutions (HSI) that promoted leadership development and academic excellence.
● Developed collaborative outreaches to learn from and share knowledge with local leaders and stakeholders. EDUCATION
Galvanize Data Science Immersive Austin, TX Jan 2021 12-week, fast-paced Python-based curriculum with 700+ hours of coding, covering best practices in machine learning, statistical analysis, natural language processing, and data visualization. BA Asian Studies The University of Texas, Austin, TX May 2011