نبذة عني
Data Analyst with three internships and full-time experience across data analysis, business intelligence, CRM data management, and predictive analytics in banking, logistics, and technology environments. Skilled in SQL, …
Data Analyst with three internships and full-time experience across data analysis, business intelligence, CRM data management, and predictive analytics in banking, logistics, and technology environments. Skilled in SQL, Python, Power BI, Tableau, and Excel, with a portfolio of independent data analysis projects covering exploratory data analysis, risk segmentation, and dashboard reporting. Completed 480 hours of certified training in AI, machine learning, and deep learning. Known for fast systems adoption, precise data handling, and clear cross-team communication.
الخبرة
Data Analyst Officer
<p>Manage and maintain the CRM database of customer leads, ensuring data accuracy, completeness, and consistency to support pipeline tracking, cross-selling analysis, and performance-target reporting.</p><p> Apply data-handling and quality-control standards to keep customer information consistent, current, and audit-ready.</p><p> Monitor lead pipeline status and performance-target progress from CRM data; coordinate with internal teams to close the loop on lead follow-up and service requirements.</p>
AI & Machine Learning Intern
<p>Completed 480 hours of certified training in Python, machine learning, and deep learning, applied to real datasets and project-based assignments.<br>
Built and evaluated ML models end-to-end — data preparation, feature analysis, model training — on structured datasets and case-study problems.</p>
Data Science Intern
<p>Used Python, Pandas, and scikit-learn to clean, explore, and analyze datasets for early-stage predictive modeling.<br>
Performed exploratory data analysis to surface patterns and trends, translating findings into input for data-driven decisions.</p>
Data Analysis & Management Intern
<p>Supported database management and maintenance, and partnered with cross-functional teams to clarify data requirements and safeguard information integrity.</p>