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This repository contains the code and data for a project focused on improving the prediction accuracy of rideshare demand in New York City during the Covid-19 pandemic.

Jupyter Notebook 99.98% Python 0.02%
demand-prediction rideshare covid-19 data-analysis forecasting machine-learning prophet sarimax time-series xgboost

rideshare_modeling's Introduction

Hi, I'm Javier Lopez Castillo! ๐Ÿ‘‹

I'm a Data Analyst & Operations Specialist with a strong background in data management and analytics. I'm passionate about leveraging my experience and education to contribute to data-driven decision making in challenging roles.

  • ๐Ÿ”ญ I most recently worked as a Data Analyst & Operations Specialist at Lyft.
  • ๐ŸŒฑ I hold an M.S. in Data Analytics from Western Governors University.
  • ๐Ÿ’ฌ Ask me about data analysis, machine learning, and business operations.
  • ๐Ÿ“ซ How to reach me: [email protected]
  • ๐Ÿ˜„ Pronouns: He/Him
  • โšก Fun fact: I'm a dog dad to six chihuahuas.

๐Ÿ“š Education

  • B.S. Data Management/Data Analytics, Western Governors University, 2022
  • M.S. Data Analytics, Western Governors University, 2023

๐Ÿ’ผ Work Experience

  • Lyft, Data Analyst & Operations Specialist, January 2018 - December 2022
  • Pandora, Operations Manager, March 2015 - January 2018

๐Ÿ› ๏ธ Skills

  • Languages and Tools: C++, Python, SQL, MS Excel, R, Tableau
  • Packages/Libraries: NumPy, Pandas, Plotly, Ggplot, Matplotlib, Scikit-Learn, Seaborn
  • Machine Learning/Deep Learning: Classification, Clustering, Decision Trees, Hypothesis Testing, PCA, Predictive Analysis, Random Forests, Regression, Sentiment Analysis

๐ŸŒ Connect with me

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