Mohammad Zarghon

About Mohammad Zarghon

Data Analyst with 6+ years of progressive experience transforming raw data into actionable insights through advanced analytics, automation, and dashboarding. Proven expertise in SQL, Python, and R to build scalable data pipelines, ensure data quality, and develop statistical and predictive models that guide strategic decisions. Known for automating reporting workflows—cutting recurring reporting time by 40%—and designing enterprise-level Power BI/Tableau dashboards used by leadership to monitor performance and drive organizational priorities. Strong collaborator skilled at translating complex analyses into clear, high-impact recommendations. Brings a foundation in high-volume data processing from prior data entry experience, ensuring exceptional accuracy, documentation, and data integrity across all analytics operations.

Experience

1. Data Analyst

   Counterpart International

   Nov 2024 — Present · US

   Led end-to-end data extraction and pipeline development using MySQL Server, leveraging advanced SQL (joins, CTEs, views, stored procedures) to optimize data accessibility and performance.• Oversaw data quality processes by cleaning, transforming, and validating large datasets with Python (Pandas, NumPy), ensuring high-accuracy analytics across multiple business functions.• Directed in-depth exploratory data analysis (EDA) and developed statistical and predictive models in Python to uncover trends, forecast outcomes, and guide data-driven strategies.• Architected and automated critical reporting workflows using Python, improving operational efficiency and reducing recurring reporting time by 40%.• Designed and managed enterprise-level dashboards in Power BI/Tableau, enabling leadership teams to monitor KPIs, assess performance, and make strategic decisions.• Collaborated with cross-functional stakeholders to define analytical requirements, translate complex data into actionable insights, and influence business planning.• Established and maintained documentation standards for data sources, analytical logic, and modeling processes to ensure consistency, transparency, and reproducibility.• Presented analytical findings and strategic recommendations to senior leadership, simplifying complex data into clear, high-impact narratives that support organizational goals.• Applied Agile methodologies—including daily stand-ups, sprint planning, and iterative delivery—to manage analytics tasks efficiently and ensure continuous alignment with stakeholder needs.

Education

• Maryam University

  Bachelor's degree, Business Administration and Management, General

• University of Phoenix

  Master's degree, Data Science

• Coursera

  Google Data Analytics Professional Certificate, Data Analytics