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  • UC San Diego, School of Global Policy and Strategy
  • 9500 Gilman Dr, La Jolla, CA 92093
  • LinkedIn in/farrel-azhar

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Fazazhar/README.md

ART

Farrel Azhar

Recent Graduate Student at UC San Diego School of Global Policy and Strategy (GPS)

I'm a data analyst and GIS specialist focused on developing data-driven solutions in causal inference and spatial analysis. I leverage machine learning and geospatial analytics to tackle urban and policy challenges. My projects include using spatial analysis and semantic segmentation to enhance walkability around trolley stops in San Diego and analyzing the causal relationship between EV charging infrastructure and electric vehicle adoption using instrumental variables. I work with R, Python, and SQL, and I'm skilled in frameworks such as Tidymodels, Scikit-learn, and TensorFlow, along with GIS tools like ArcGIS, Geopandas, and Folium, and data visualization with ggplot2 and Matplotlib.

LinkedIn

Languages and Tools

Python R PostgreSQL Git Jupyter Visual Studio Code RStudio MongoDB HTML CSS Javascript


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  1. Urban-Walkability-GIS-Study Urban-Walkability-GIS-Study Public

    "From Trolley Stops to Walkable Blocks" analyzes urban walkability around San Diego trolley stops using spatial analysis and semantic segmentation to inform improvements for sustainable urban devel…

    HTML

  2. EV-Adoption-Causal-Analysis EV-Adoption-Causal-Analysis Public

    This repository examines how EV charging stations affect the adoption of plug-in hybrid and battery electric vehicles in the U.S. using causal inference and instrumental variable methods to evaluat…

  3. Data-Jobs-Market-Analysis Data-Jobs-Market-Analysis Public

    Analyzes Data Scientist job trends, in-demand skills, and salary impacts using SQL queries on real job data.

    TSQL

  4. Predicting-Labor-Outcome Predicting-Labor-Outcome Public

    Predicting Strike Outcomes: A Labor Action Analysis Using R and Tidymodels. This project utilizes the LAT and ACS datasets to build a LASSO logistic regression model, achieving 88% accuracy in pred…

    JavaScript

  5. Diplomacy-Lab-Dashboard Diplomacy-Lab-Dashboard Public

    Diplomacy Lab Dashboard: Visualizing Global Displacement and Conflict Data with ACLED and UNHCR Refugee Datasets using R Shiny.

    R 1

  6. Traffic-Fatalities-Policy-Analysis Traffic-Fatalities-Policy-Analysis Public

    Analysis of the impact of handheld device bans on traffic fatalities in the U.S. using fixed-effects regression models and data from 1983 to 2012.

    R