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1 follower · 3 following
  • Los Angeles, CA
  • 21:12 (UTC -07:00)

Achievements

Achievement: Pull Sharkx2Achievement: Pair ExtraordinaireAchievement: YOLOAchievement: Arctic Code Vault Contributor

Achievements

Achievement: Pull Sharkx2Achievement: Pair ExtraordinaireAchievement: YOLOAchievement: Arctic Code Vault Contributor

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renegamino012/README.md

Hello, hello - Rene Gamino (she/they)!

My interests include but are not limited to urban sciences, social sciences, programming, YouTube binge-watching, coffee, tabletop gaming, and vegetarian/vegan cuisine.

Email me at rene_gamino012@berkeley.edu. Resume available on request.

Current challenges

  • Complete the 2022 #30DayMapChallenge and publish in a GitHub repository.
  • Complete the Google Data Analytics Capstone: Cyclistic Case Study.
  • Review the knowledge, skills, and toolkits from undergraduate.
    • Lower division courses: Calculus I/II. Linear Algebra. Program Structures. Data Structures.
    • Upper division courses: Principles and Techniques of Data Science. Concepts of Probability. Concepts of Statistics. Modern Statistical Prediction & Machine Learning. Linear Modelling: Theory and Applications. Geographic Information Systems.
  • Review available course syllabuses for independent study. Example: Stochastic Processes, Fall 2019.
  • Working on a Class C driver's license.

Stack

Languages

English (native). Spanish (elementary). CSS. HTML. Javascript. Markdown. Python. R.

Frameworks and libraries

Dplyr. Gatsby. GeoPandas. Ggplot2. Numpy. Pandas. Seaborn.

Software and tools

Adobe Illustrator. ArcGIS Desktop/Pro/View. ArcGIS Online. GIMP. Jupyter. Microsoft Excel. QGIS. Tableau. Visual Studio Code.

Pinned Loading

  1. 30DayMapChallenge__Nov_2022 30DayMapChallenge__Nov_2022 Public

    Data, code, and visualizations for 2022 #30DayMapChallenge

    1

  2. Google-Data-Analytics-Capstone--Cyclistic-Case-Study Google-Data-Analytics-Capstone--Cyclistic-Case-Study Public

    A case study on the fictional bike-share company Cyclistic's trip data, based on Chicago Divvy public dataset.

    HTML

  3. los-angeles-2021-parking-citations los-angeles-2021-parking-citations Public