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🤗Welcome to my GitHub Portfolio!

🙋‍♂️About

Welcome to my portfolio! Here, I am excited to showcase the skills and knowledge I have acquired so far in the data field, with a lot more to come. As a passionate learner, I have delved into various tools like SQL, Python, and R, which have enabled me to work on intriguing data projects. This portfolio serves as a testament to my journey in data analytics and the application of these tools to real-world scenarios.

A little about me: My name is Eric, and I currently reside in the greater Los Angeles area. I am making a career change from biology to pursue my passion for data science and biostatistics. Currently enrolled in the University of Berkeley Data Analytics Bootcamp, I am eager to explore the many opportunities and challenges that the data field has to offer. I view data analytics as a perfect stepping stone into a fulfilling career, where I can foster a learning culture, encourage optimization, and continuously upskill.

Feel free to explore my GitHub portfolio! I am excited to showcase the skills I have acquired and the projects I have diligently worked on.

📁Overview

Languages/Data Tools I am familiar with:

  • Excel
    • Spreadsheet
    • PivotTable
    • Power Pivot
    • VBA (Visual Basic for Application)
  • Python
    • Pandas
    • API keys (Application Programming Interface)
    • Matplotlib
    • SQLalchemy
    • SQLite3
  • SQL (Structured Query Language)
    • MySQL
    • PostgreSQL
    • Microsoft SQL Server
  • Web Development
    • HTML (Hypertext Markup Language)
    • CSS (Cascading Style Sheets)
    • JavaScript (working on it)

Eric's Projects

eda-project icon eda-project

EDA project on US public transportation: Analyzing ridership correlations with socio-economic factors like population density, GDP, education levels, and unemployment. Using Python for data analysis.

excel-intro icon excel-intro

In the Excel challenge, I applied conditional formatting, created new metrics, and utilized pivot tables for data analysis. I also conducted statistical studies to understand backer distribution, successfully uncovering key factors for crowdfunding success.

excel-vba icon excel-vba

Analyzed stock data using VBA scripting in Excel. Calculated metrics, applied conditional formatting, and automated analysis for multiple sheets.

python-api icon python-api

Explored weather data correlations using Python, APIs, and visualizations. Planned vacations based on ideal conditions.

python-data-scraping icon python-data-scraping

Web-scraping project: Extracted Mars news article titles & previews. Analyzed Mars weather data, created visuals. Python, Pandas, BeautifulSoup.

python-intro icon python-intro

Analyze financial & election data using Python scripts. Calculate metrics, percentages, & winners. Apply CSV handling & scripting skills for real-world scenarios.

python-matplotlib icon python-matplotlib

Developed data visualization skills with Matplotlib, creating plots for pharmaceutical data analysis. Overcame Matplotlib challenges for more effective insights.

python-pandas icon python-pandas

Analyze school test data using Pandas. Calculate district & school metrics. Generate summaries & rankings. Extract insights for strategic decisions.

sql-intro icon sql-intro

Explored employee data from the 1980s and 1990s through data modeling, engineering, and SQL analysis. Uncovered insights into demographics and trends.

sql-sqlalchemy icon sql-sqlalchemy

Analyzed climate data for vacation planning in Hawaii using Python, SQLAlchemy, Pandas, and Flask. Conducted precipitation and station analyses, and developed a Flask API to showcase insights.

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