Data Scientist

Brian Baltazar

Data Scientist

Brian Baltazar

San Francisco, CA San Jose, CA

650-***-****

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

http://linkedin.com/in/brianbaltazar

http://github.com/bbaltazar

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Projects

“What Supp?” / Recommender

A BodyBuilding.com supplement recommender made by scraping 60,000 verified reviews to help users make insightful decisions on what products they should purchase to reach their fitness goals.

●Developed a web scraper to retrieve text, reviews, comments, descriptions from Javascript

●Performed NMF and LDA to discover latent features of consumers

●Created a web application using matrix factorization with collaborative filtering options for users to receive supplement recommendations based on ratings of products previously used.

Key Tools Used: Python, BeautifulSoup, MongoDB, Pandas, Atom, Jupyter Notebook, CSS, Jinja, Flask

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Experience

Galvanize / Data Science Fellow September 2016 - December 2016

San Francisco, CA

●Gained experience in data exploration, modeling, validation, visualization, communication and presentation as part of a Data Science Immersive program

●Collaborated with colleagues from various quantitative fields to work on daily repositories

●Applied critical thinking and problem solving to real world data sets, including a summative personal Data Science capstone project

JPMorgan Chase & Co. / Relationship Banker February 2015 - August 2016

San Francisco, CA

●Increased client wealth by as much as 8% by leveraging investment options from liquid assets, as a result increased branch deposit and investment balances significantly.

●Transitioned clients to better loan solutions, saving clients up to 5-10% which brought over at least one million in lending balances every quarter into branch pipeline

●Grew and retained client business by use of customer relationship management system and filtered database based on current client needs and company campaign.

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Education

Galvanize / Certification in Data Science September 2016 - December 2016

San Francisco, CA

Key Coursework: Probability & Statistics, Linear and Logistic Regression, Machine Learning, Time Series Analysis, Data Engineering

University of California / Bachelor of Arts, Economics September 2008 - December 2013

Riverside, CA

Key Coursework: Econometrics, Linear Algebra, Optimization, Statistics, Set Theory

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