Muhammad

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.

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.