# Muhammad (@omarmuhammad.bsky.social)

Profile: https://sifa.id/p/omarmuhammad.bsky.social
Headline: Data analyst/ scientist

## About

My name is Muhammad Muhdhar. I recently completed my Master’s in Computational Social Science, with a specialization in Data Science. Over the course of my studies and projects, I developed strong skills in Python, SQL, R, and data visualization tools like Power BI and Tableau.

I’m particularly passionate about using data to help businesses make informed decisions and uncover meaningful insights. During my studies, I worked on several projects analyzing large datasets, creating dashboards, and building predictive models, which gave me practical experience in translating data into actionable recommendations.

I’m now looking to apply my skills in a professional setting where I can contribute to data-driven decision-making, learn from experienced teams, and continue growing as a data analyst.

I write about the things that i'm interested about here: https://leviathanreport.substack.com

## Experience

- **Consulting Analyst at EY** (2022 – 2024)
  At EY, I led fund administration for four private equity funds (>$1B NAV), built cross-functional teams, and automated key financial processes; streamlining operations and improving reporting speed and accuracy.
  • Fund Administration: Oversaw end-to-end operations and compliance for $1B+ in assets under management across four PE funds.
  • Project Management: Founded and worked in a cross-functional team (onshore + offshore), implemented documentation standards, and led training initiatives to improve collaboration and operational efficiency.
  • Process Automation: Designed Excel-based automation tools that reduced month-end processing time from hours to minutes, significantly cutting errors and increasing analytical capacity.
  • Workflow Optimization: Built Excel dashboards and trackers to monitor financial document processing status in real time, automate notifications, and eliminate manual bottlenecks.
- **Undergraduate Researcher at The University of Texas at Austin** (2021 – 2022)
- **Data Science Intern at Center for Effective Global Action (CEGA)** (2025 – 2025)
  At the Center for Effective Global Action (CEGA), I led the development of an AI-driven research discovery platform that enables exploration of poverty related academic papers. I built the full-stack data pipeline, trained transformer models for topic classification, and designed dashboards to surface policy-relevant insights.
  • Data Engineering: Created automated ETL pipelines using Python and SQL (BigQuery), integrating data from multiple academic APIs for scalable analysis.
  • Machine Learning: Fine-tuned transformer models to classify papers by a poverty research taxonomy, enabling large-scale pattern recognition.
  • Data Visualization: Created an interactive Streamlit dashboard featuring contour plots and Sankey diagrams to visualize text data, uncover research trends, and highlight knowledge gaps for policy impact.

## Education

- **University of California, Berkeley** — Master's degree
- **The University of Texas at Austin - College of Liberal Arts** — Bachelor of Arts - BA (2018 – 2022)
- **Dubiski** (2014 – 2018)

## Skills

- BigQuery
- Microsoft Excel
- Networking
- Municipalities
- Writing
- Business Planning
- Google Analytics
- Analytical Skills
- Git
- Web Scraping
- Training
- Artificial Intelligence (AI)
- Machine Learning
- Technical Documentation
- Big Data
- SQL
- Data Science
- Version Control
- Research Skills
- Data Engineering
- Microsoft Office
- Python
- Problem Solving
- Financial Analysis
- Python (Programming Language)
- GitHub
- Extract, Transform, Load (ETL)
- Dashboards
- Documentation
- Natural Language Processing (NLP)
- Business Workflows
- Fund Administration
- Streamlit
- Data Warehousing
- Google BigQuery