Strategic Data Analyst with 5 years of experience in transforming complex datasets into actionable business insights. Championed advanced analytical tools
and automation, shortening project timelines and enhancing data accuracy by leveraging machine learning and data visualization platforms. Seeking a Data
Analyst role to drive data-informed strategies through strong expertise in Python, SQL, Power BI and Excel.
- Analyzed and interpreted large datasets to drive data-driven decision-making. •
2- Created dashboards and comprehensive reports utilizing Power BI, Tableau, and Excel, ensuring clear presentation of key business metrics for
stakeholders.
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3- Applied machine learning techniques to uncover trends and optimize strategies. •
4- Collaborated with stakeholders to identify challenges and offer solutions. •
5- Championed the integration of advanced analytical tools and automation scripts, substantially shortening project timelines and enhancing the accuracy
of data insights across organizational departments.
1- Extracted and transformed data from online databases using Python and SQL. •
2- Performed preprocessing, outlier detection, and normalization. •
3- Identified loan-eligible high-priority customers based on segmentation insights. •
4- Synthesized complex analytical reports by integrating Python-based visualizations and advanced statistical techniques to empower stakeholders with
actionable business intelligence.
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5- Engineered robust dashboard solutions by leveraging BI tools, translating multi-source analytics into intuitive visuals that accelerated data-driven
decision-making for executive leadership.
1- Synthesized complex analytics into actionable insights. •
2- Produced monthly reports using advanced Excel functions. •
3- Tested data prediction algorithms on historical datasets. •
4- Engineered automated data cleansing procedures that elevated data quality and streamlined subsequent analytical processes for business reporting. •
1- Generated Excel reports for business stakeholders. •
2- Transformed diverse business data into actionable recommendations by utilizing analytical techniques with Python and SQL. •
3- Validated historical prediction algorithms by conducting thorough backtesting using Python and statistical libraries. •
Engineered automated data transformation pipelines with dbt for 5 cross-department analytics projects, reducing data modeling cycle times by 30% over a
6-month period while ensuring reproducibility and accuracy.
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Engineered automated data pipelines using dbt over 6-month project, reducing manual processing time by 40% and boosting daily data model refresh
frequency for analytics team by implementing modular SQL workflows with Snowflake.
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Implemented hypothesis testing methodologies using Python (SciPy) across 4 quarterly analytics projects over 12 months to validate business
assumptions, influencing KPI-driven decisions and improving actionable insight accuracy by 18%.
Misr University for Science and Technology • EGYPT • 2020 • Very Good