Nicholas Devin Email & Phone Number

Los Angeles, Ca, Us

Culver City, California, United States

- Built informative dashboards and performed meaningful data analysis in Looker to assess the state of Block Inc.'s Looker instance during initial discovery portion of 17-week Looker Optimization engagement with Block.- Leveraged the Looker API via Python to carry out extensive cleanup of unused content in Block's Looker instance, deleting over 10,000 dashboards and 30,000 looks; improved user experience for Looker end users and improved Looker's performance overall.- Devised strategy to use the Looker API to identify underutilized and redundant LookLM code in Block's Looker instance, developed a reusable Python script to employ this strategy and provide easy-to-apply guidelines for deprecating explores and view files.- Achieved a massive restructuring of Block's Looker instance, migrating thousands of files and consolidating projects to build a hub-and-spoke architecture; simplified Looker's file system and improved navigability for LookML developers.- Led an internal session at DAS42 teaching the fundamentals of Python integration in Snowflake through the Snowpark API, presented a use case in which I performed complex transformations on professional tennis datasets during the data loading process.

- Created an interactive app with R Shiny to display data related to styles of play in professional tennis, provided insights for players and coaches seeking to improve performance.- Scraped over 20,000 music reviews from pitchfork.com with Scrapy, used Python to visually represent noteworthy trends regarding the presence of genre- and gender-based bias in reviews.- Predicted housing prices in Ames, Iowa using both regularized linear regression and tree-based models, used both Python and R to clean data and to engineer new features.- Built an interactive app with Dash and Python to predict winners of professional tennis matches, provided users with betting odds and an in-depth comparison of player statistics, performed significant feature engineering and data analysis to build a variety of predictive models.- As part of Oct. 2020 Hackathon, analyzed customer churn in KKBOX subscriptions using Python, presented visualizations of findings and provided recommendations to reduce churn.

Los Angeles Metropolitan Area

Provided personalized, one-on-one tutoring to build up students’ skills and confidence in various mathematical disciplines, ranging from Algebra I to BC Calculus.Saw measurable improvements in test scores and mathematical ability in students.

Greater Los Angeles Area

- Worked with students one-on-one to strengthen mathematics skills in a broad range of subjects ranging from high school algebra to topology; achieved consistent improvement in student performance at all levels.- Designed curriculum for mathematics enrichment courses for high school students through Upward Bound program, focusing on foundations of probability and statistics.- Taught SAT and ACT prep courses, both small group and one-on-one, leading to significant improvement in students' scores, particularly in the mathematics section.

Binghamton, Ny

- Taught classes of 30-40 students, designed syllabus for courses ranging from probability and statistics to multivariable calculus.- Co-led training program for new calculus instructors, oversaw workshops and exercises on how to teach calculus effectively, provided constructive feedback to instructors.- Implemented "flipped teaching" technique as part of department-wide initiative to improve student performance and reduce students' drop/fail/withdraw rates.- Nominated for Harpur College Teaching Award for Small Undergraduate Classes in both the 2015-16 and 2016-17 academic years.

Master Of Arts - Ma, Mathematics

Bachelor Of Arts - Ba, Mathematics, 3.92/4.00 Gpa

Activities and Societies: Phi Beta Kappa, Pi Mu Epsilon (national mathematics honor society), SUNY Geneseo Honors Program