Skip to content
View Daniel21b's full-sized avatar
🏹
I may be slow to respond.
🏹
I may be slow to respond.
4 followers · 15 following

Block or report Daniel21b

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Daniel21b/README.md
Header Banner

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:

[Automated Invoice Processing Pipeline)(https://github.com/Daniel21b/invoice_pipeline)

Tech Stack: Python, PostgreSQL, Streamlit, AWS (Lambda, S3, RDS), OCR (Textrac

  • Designed an event-driven architecture that eliminates manual data entry by automatically triggering extraction pipelines upon file upload, reducing processing time by 95% .
  • Migrated real-time invoice processing to a scheduled Airflow batch architecture, optimizing compute resource usage by processing uploads in hourly micro-batches.
  • Implemented unstructured-to-structured data transformation using AI-based OCR to parse PDF invoices and normalize them into a relational PostgreSQL schema

DC Bikeshare Demand Analysis

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 Job Market Trends Dashboard

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

gifgithub


GitHub Stats

Daniel's GitHub stats

Top Langs

GitHub Icon

Popular repositories Loading

  1. Retail-Demand-Prediction Retail-Demand-Prediction Public

    1

  2. DanielBerhanegithub.io DanielBerhanegithub.io Public

    HTML

  3. DanielAsfaw.github.io DanielAsfaw.github.io Public

    HTML

  4. Login-System-with-Registration-Filestoring---Filesystem- Login-System-with-Registration-Filestoring---Filesystem- Public

    C++

  5. CryptoManager CryptoManager Public

    Java

  6. PropertyManager PropertyManager Public

    Java