Credentials

Resume

One professional history, with four role-specific versions ready to download.

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Analytics EngineerSQL-backed reporting, dashboards, and analytical systems.Download PDF ↓Data Platform EngineerCorrectness-sensitive data systems, migrations, and operations.Download PDF ↓Backend Software EngineerProduction systems, analytics infrastructure, and operational support.Download PDF ↓Full Stack Software EngineerProduction applications, integrations, and delivery end to end.Download PDF ↓

Mohammad Haider

[email protected]mhaider.devlinkedin.com/in/haidmohamgithub.com/haidmoham
Summary

Data and software engineer with four years of experience building correctness-sensitive production systems, reporting infrastructure, reproducible data pipelines, and decision-support dashboards. Experienced taking ambiguous requirements through implementation, validation, deployment, performance optimization, and operational support.

Experience

Data Analyst

University of Virginia
May 2025 – Mar 2026
  • Owned Tableau analytics products for institutional stakeholders from discovery through implementation, deployment, and ongoing support.
  • Translated ambiguous operational questions into SQL-backed metric definitions and decision-support dashboards.
  • Collaborated on telemetry-informed optimization that improved organization-wide dashboard load times by approximately 20%.

Software Engineer — Data & Analytics

Microsoft
Jul 2021 – Jul 2024
  • Migrated an internal financial reporting platform from SSAS Multidimensional to Tabular with zero downtime, owning implementation, telemetry, production validation, and operational support.
  • Extended automated reconciliation between legacy and replacement systems, preserving correctness through the migration and improving data quality.
  • Reduced representative filtering latency by up to 200x and user-visible Excel loading time by approximately 4x, measured through production telemetry and user reports.
  • Built and maintained Azure-based financial reporting pipelines supporting planning and financial close operations.

Software Engineering Intern

Microsoft
Summers 2017, 2018
  • Built internal engineering tools supporting reporting infrastructure and developer workflows across multiple engineering teams.
Selected Projects

Indigo Circuit

DuckDB, dbt, Flask
  • Built a nightly platform that ingests API and scraped tournament data, recomputes Glicko-2 ratings, rebuilds dbt marts, and validates a shadow DuckDB database before atomically promoting it to production.
  • Built a Bayesian EV model that shrinks sparse card effects toward archetype baselines and reports 90% credible intervals.

Social Vulnerability & Health Outcomes in America

Python, statistical analysis
  • Designed and executed analysis of 16 CDC vulnerability indicators and 36 health outcomes across approximately 73,000 tracts.
  • Produced correlations, state rankings, scatterplots, and a national choropleth with literature-grounded causal caveats.

RareDex

Flask, PostgreSQL, OpenCV
  • Built a card-scanning system with SQLAlchemy/Alembic and a layered identification pipeline that escalates across image preprocessing, collector-number OCR, and a 19,601-entry perceptual-hash fallback.
Education

B.S. Statistics

Virginia Tech
2015 – 2021
Technical Skills
Languages
SQL, Python, R, C#, Java
Data platforms
DuckDB, dbt, Azure Data Factory, Azure Data Lake, SSAS Tabular
Analytics
Tableau, Power BI, Pandas, NumPy, statistical analysis
Engineering
Flask, PostgreSQL, SQLAlchemy, REST APIs, Git, Azure, monitoring