Mohammad Haider
Data & Software Engineer · Open to Work
The Long Version
I'm a data & software engineer with five years of experience across enterprise software engineering at Microsoft and data analytics at the University of Virginia. I hold a B.S. in Statistics and Data Science from Virginia Tech. I'm currently open to full-time roles and taking on select consulting engagements.
At Microsoft, I worked on financial data infrastructure at petabyte scale — building ETL pipelines, financial dashboards, and leading a migration of SSAS cube infrastructure that delivered a 200x performance improvement. The work covered the full stack: pipelines, semantic layers, dashboards, and app modernization. I know what enterprise-scale data problems look like from the inside.
Most recently at UVA, I led individual stakeholder analytics projects end to end: requirements gathering, data sourcing, Tableau build, and delivery. I also helped less technical stakeholders onboard to the dashboards I delivered. The most important part of that work was the requirements conversation — understanding what question someone was actually trying to answer before building anything.
Experience
Data Analyst
Led individual stakeholder analytics projects end to end. Contributed to Tableau site optimization (20% load time improvement) and helped less technical stakeholders onboard to delivered dashboards.
Software Engineer
ETL pipeline development at petabyte scale, financial dashboards, SSAS cube migration (200x faster filtering, 300% processing improvement), and desktop-to-web app migration (15% productivity gain).
Software Engineering Intern
Ported the Most Recently Used (MRU) feature to a new architecture, enhancing system reliability and performance.
Education
B.S. Statistics and Data Science
Dual focus on statistical theory and applied data science, with hands-on project work in machine learning, NLP, and data visualization.