Data Analyst skilled in Python, SQL (PostgreSQL), Power BI, and Tableau and experienced in transforming and validating complex datasets into actionable, stakeholder-ready insights. Proven ability to innovate data solutio…
Data Analyst skilled in Python, SQL (PostgreSQL), Power BI, and Tableau and experienced in transforming and validating complex datasets into actionable, stakeholder-ready insights. Proven ability to innovate data solutions, drive decision-making, and collaborate across functions to deliver business value.
Conducted EDA and healthcare market analysis across U.S. regions, leveraging Excel (Pivot Tables, VLOOKUP) for data cleaning and ensuring data integrity, improving workflow efficiency by 50%.
Developed Power BI dashboards and reports (Power Query, DAX) to deliver actionable insights, identifying risks and opportunities in regional data trends, ensuring 99% data accuracy, reducing workload by 80%, and enabling data-driven decision-making.
Conducted EDA and healthcare market analysis across U.S. regions, leveraging Excel (Pivot Tables, VLOOKUP) for data cleaning and ensuring data integrity, improving workflow efficiency by 50%., Developed Power BI dashboards and reports (Power Query, DAX) to deliver actionable insights, identifying risks and opportunities in regional data trends, ensuring 99% data accuracy, reducing workload by 80%, and enabling data-driven decision-making.
Performed statistical analysis (Bayesian inference) on CDC datasets and built a Logistic Regression model (Python) to forecast donor behavior, improving efficiency by 2.3%.
Created Power BI dashboards to translate complex data into actionable insights, supporting stakeholder decision-making and performance analysis.
Performed statistical analysis (Bayesian inference) on CDC datasets and built a Logistic Regression model (Python) to forecast donor behavior, improving efficiency by 2.3%., Created Power BI dashboards to translate complex data into actionable insights, supporting stakeholder decision-making and performance analysis.
Developed a Random Forest model (Python) with data preprocessing (cleaning, encoding, feature selection) to support predictive analytics and decision-making.
Managed data pipelines and built an interactive dashboard to visualize KPIs, ensuring data quality and delivering actionable insights within established project timelines for operational efficiency.
Developed a Random Forest model (Python) with data preprocessing (cleaning, encoding, feature selection) to support predictive analytics and decision-making., Managed data pipelines and built an interactive dashboard to visualize KPIs, ensuring data quality and delivering actionable insights within established project timelines for operational efficiency.
• Built an automated multi-agent analytics system integrating real-time market (yFinance) and sentiment data, reducing research time by 50% and enabling data-driven investment decisions. • Ensured 100% data integrity for financial metrics using validation frameworks while generating structured, stakeholder-ready insights.
• Analyzed 3,000+ employee records using advanced SQL (BigQuery) to identify attrition trends and workforce patterns, uncovering a 19% attrition issue in production and delivering data-driven insights for strategic decision-making. • Built a predictive risk model using SQL techniques (CTEs, window functions, CASE statements) to flag 25 high-risk employees, enabling proactive retention strategies and contributing to $500K+ potential cost savings.
نظام التوظيف التشغيلي المعتمد على الذكاء الاصطناعي أولاً، الذي يوحّد ويؤتمت دورة التوظيف بالكامل للمؤسسات الحديثة حول العالم.
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