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.
<p>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%.<br>
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.</p>
<p>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.</p>
<p>Performed statistical analysis (Bayesian inference) on CDC datasets and built a Logistic Regression model (Python) to forecast donor behavior, improving efficiency by 2.3%.<br>
Created Power BI dashboards to translate complex data into actionable insights, supporting stakeholder decision-making and performance analysis.</p>
<p>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.</p>
<p>Developed a Random Forest model (Python) with data preprocessing (cleaning, encoding, feature selection) to support predictive analytics and decision-making.<br>
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.</p>
<p>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.</p>
<p>• 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. </p>
<p>• 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. </p>
نظام التوظيف التشغيلي المعتمد على الذكاء الاصطناعي أولاً، الذي يوحّد ويؤتمت دورة التوظيف بالكامل للمؤسسات الحديثة حول العالم.
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