Results-driven Data Analyst with hands-on expertise in Python, SQL, Power BI, and ETL pipeline development. Experienced in RFM segmentation, CLV modeling, statistical analysis, and cross-functional collaboration. Proven …
Results-driven Data Analyst with hands-on expertise in Python, SQL, Power BI, and ETL pipeline development. Experienced in RFM segmentation, CLV modeling, statistical analysis, and cross-functional collaboration. Proven ability to deliver data governance frameworks, KPI dashboards, and predictive analytics models that drive measurable business impact. Seeking to apply data storytelling and business intelligence skills to solve complex analytical challenges at scale.
Architected 3 end-to-end ETL pipelines in Python across e-commerce, HR, and healthcare domains, improving data quality and cutting reporting turnaround by 30%
Analyzed 100K+ records through EDA, data cleaning, and validation; surfaced actionable trends that directly informed client business decisions
Launched 2 live Streamlit web applications featuring real-time filtering, RFM segmentation, and CLV modeling, boosting stakeholder reporting efficiency by 35%
Standardized reusable KPI dashboard templates and ETL workflows in Power BI and Python, slashing dashboard build time by 30% across all client engagements
Transformed complex analytical findings into clear non-technical narratives for C-suite and business stakeholders, strengthening data-driven decision making culture
Architected 3 end-to-end ETL pipelines in Python across e-commerce, HR, and healthcare domains, improving data quality and cutting reporting turnaround by 30%, Analyzed 100K+ records through EDA, data cleaning, and validation; surfaced actionable trends that directly informed client business decisions, Launched 2 live Streamlit web applications featuring real-time filtering, RFM segmentation, and CLV modeling, boosting stakeholder reporting efficiency by 35%, Standardized reusable KPI dashboard templates and ETL workflows in Power BI and Python, slashing dashboard build time by 30% across all client engagements, Transformed complex analytical findings into clear non-technical narratives for C-suite and business stakeholders, strengthening data-driven decision-making culture
Interactive HR analytics dashboard on IBM Attrition dataset (1,470 records, 35 features). Built with Python and Streamlit. Features cohort analysis, regression, and data validation.
نظام التوظيف التشغيلي المعتمد على الذكاء الاصطناعي أولاً، الذي يوحّد ويؤتمت دورة التوظيف بالكامل للمؤسسات الحديثة حول العالم.
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