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Daniel21b/README.md
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Waving Hand Emoji Hi, I'm Daniel, CS 2025! GitHub profile views counter

A professional animation coder gif

Chart Emoji Turning data into insights, one pipeline at a time.

  • Globe Showing Americas Based in DMV
  • Desktop Computer Emoji Recent CS Graduate from University of Maryland
  • Email Emoji Contact me @: dberhane@terpmail.umd.edu
  • Bar Chart Emoji Building data pipelines and analytics solutions with cloud technologies
  • Brain Emoji Passionate about data engineering, ML operations, and business intelligence
  • Lightning Emoji Always exploring new ways to optimize data workflows
github contribution grid snake animation

Globe with Meridians Emoji Let's Stay Connected:

LinkedIn GitHub Hand Shake Emoji

Laptop Emoji Technical Skills:

Programming & Query Languages

Python SQL R JavaScript

Data Analysis & Visualization

Pandas NumPy Matplotlib Seaborn Plotly Power BI Tableau Looker

Data Engineering & Cloud

dbt AWS Snowflake AWS Lambda AWS Glue

Machine Learning & MLOps

scikit-learn MLflow

Databases & Tools

MySQL PostgreSQL MongoDB Git GitHub Actions

Web Technologies & APIs

FastAPI BeautifulSoup Jupyter


Folder Emoji Featured Projects:

Tech Stack: FastAPI, Docker, JWT, Async/Await

  • Built async scraping pipelines with Crawl4AI handling 500+ pages, implementing session management.
  • Enhanced FastAPI endpoints with JWT authentication, reducing unauthorized access attempts by 95%.
  • Automated data extraction to structured JSON/Markdown, cutting manual cleanup time to 15 minutes.

Tech Stack: Python, Pandas, Seaborn, Plotly, Looker

  • Processed 2M+ trips to identify usage patterns across DC metro stations
  • Analyzed weather-ridership correlations to quantify seasonal demand fluctuations
  • Built interactive Looker dashboards visualizing peak hours and route trends

Tech Stack: Python, Pandas, BeautifulSoup, Matplotlib

  • Scraped and analyzed job postings to track company hiring patterns
  • Standardized data with Pandas for accurate trend analysis
  • Visualized month-over-month hiring trends with Matplotlib

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