Fady Gah

Data Analyst with strong analytical instincts and expertise in SQL, Power BI, and Tableau, turning large datasets into clear, actionable insights. Developed interactive dashboards and reports that accelerated decision-making and enhanced operational efficiency. Skilled at partnering with cross-functional teams to define metrics, validate data quality, and drive data-driven strategies.

Data Analyst (Remote) at ICP GROUP (2022-05 – Present)

• Analyzed and interpreted large datasets (over 5 million records) using SQL, Python, and R, identifying key trends, correlations, and insights that influenced strategic business decisions, resulting in a 15% increase in operational efficiency.
• Developed and deployed interactive dashboards, self-serve analytics, and reports using Tableau and Power BI, providing actionable insights to stakeholders across departments, which improved decision-making speed by 20%.
• Streamlined data cleaning and transformation processes across multiple systems, improving data quality and reducing data errors by 25%, ensuring consistency and reliability in reporting.
• Collaborated with cross-functional teams (marketing and finance) to define data requirements, ensuring that all analytics solutions aligned with business objectives, leading to improved project outcomes and timelier insights.
• Implemented predictive modeling and statistical analysis to forecast key business metrics, enabling the identification of potential risks and opportunities, contributing to a 10% improvement in forecasting accuracy.
• Automated data extraction and reporting workflows, reducing reporting time by 40%
• Conducted ad hoc data analysis for various business functions, including sales, finance, and marketing, delivering insights that led to a 15% increase in sales revenue in targeted campaigns.
• Assisted in designing and maintaining data architecture, optimizing performance for large-scale projects and reducing query execution time by 30%, enabling faster decision-making.
• Ensured adherence to industry data governance policies and compliance with privacy standards, reducing data-related risks and safeguarding sensitive information in line with GDPR and HIPAA regulations.
• Provided actionable insights and data-driven recommendations that contributed to measurable performance improvements, resulting in a 10% increase in operational KPIs.
• Partnered with data engineering to define and validate key metrics, ensuring data quality and a reliable foundation for analytical reports.

Junior Data Analyst (Remote/Hybrid) at KDC(Tri-Tech Labs) (2020-09 – 2022-04)

• Utilized SQL, Python, and Excel to collect, clean, and analyze datasets with over 2 million records, supporting data-driven decision-making in healthcare operations and improving overall operational efficiency by 15%.
• Developed custom reports, self-serve analytics, and interactive dashboards using Tableau and Power BI, presenting insights on patient data, treatment outcomes, and operational efficiency, which led to 20% faster decision-making for healthcare administrators and clinical teams.
• Conducted data mining and statistical analysis on healthcare data, identifying trends, patterns, and areas for improvement in service delivery, contributing to a 10% improvement in patient satisfaction through process optimizations.
• Automated data extraction and reporting workflows, reducing manual reporting time by 35%, ensuring timely access to critical data for clinical and administrative teams.
• Collaborated with clinical and administrative teams to define data requirements, providing actionable insights that improved patient care and contributed to a 15% reduction in patient wait times.
• Implemented predictive models to forecast patient admission rates, optimizing resource allocation and reducing hospital operational costs by 12% through better staff and resource management.
• Conducted regular data quality checks and maintain data integrity across various platforms, achieving 99.9% data accuracy, ensuring reliable reporting and decision-making.
• Provided ad hoc data analysis for special projects and performance tracking, delivering insights that supported strategic initiatives, resulting in a 5% increase in healthcare service efficiency.
• Developed and maintained comprehensive data documentation and standardized procedures, enhancing team clarity and improving data operations efficiency, reducing onboarding time for new analysts by 25%.
• Ensured compliance with HIPAA and data privacy standards, safeguarding sensitive patient information, maintaining zero data breaches while meeting all regulatory requirements.
• Partnered with data engineering to define metrics, validate data quality, and ensure reporting outputs were built on a reliable, well-modeled foundation.

Bachelor of Science in Business Administration, Business Information Technology – Regent University College of Science and Technology (2019-05)