Bringing four years of professional experience, I have specialized for the past four years as a Data analyst Engineer. My focus is on implementing data-driven solutions to elevate business efficiency through the applicat…
Bringing four years of professional experience, I have specialized for the past four years as a Data analyst Engineer. My focus is on implementing data-driven solutions to elevate business efficiency through the application of machine learning and artificial intelligence. My commitment to continuous learning drives me to stay updated on emerging technologies in the field.
<p>Developed a python script to extract sales data from a SQL database.<br>
Mechanized data cleaning and transformation using pandas.<br>
Stored cleaned data in excel for manual checks.<br>
Used Power BI to visualize sales trends and KPIs.<br>
Deployed the pipeline using DevOps for scheduled updates.<br>
Pulled data from SQL databases using queries to analyze operational performance metrics.<br>
Used Power BI to visualize KPIs and trends, creating interactive dashboards for management.<br>
Integrated Python scripts within Power BI to perform advanced data analysis and transformations.<br>
Deployed and shared the dashboard through SharePoint for company-wide access.<br>
Established a Power BI dashboard to monitor and visualize DevOps metrics like build status, code quality, and deployment frequency.<br>
Systematized data collection using python scripts to extract data from DevOps tools and store it in SQL databases.<br>
Linked the dashboard with ServiceNow for real-time incident reporting and issue tracking.<br>
Shared the dashboard with key stakeholders via SharePoint for transparency and feedback.<br>
Extracted ServiceNow incident and change request data using python scripts.<br>
Performed data analysis using SQL to generate reports on IT service performance.<br>
Visualized results in Power BI, creating interactive reports on service trends and incident resolution times.<br>
Published the reports via SharePoint, ensuring easy access for IT managers.<br>
Developed an automated system in Python to track user access levels across Active Directory.<br>
Analyzed data using SQL to identify inactive or unauthorized users and created reports.<br>
Integrated with ServiceNow for incident management and automated notifications for compliance breaches.<br>
Ensured continuous compliance and governance through Active Directory monitoring.<br>
Utilized Python to scrape financial data from external sources and clean it for analysis.<br>
Stored and managed this data in a SQL database, performing complex queries to derive key financial insights.<br>
Generated a Power BI dashboard to track financial KPIs such as revenue, expenses, and profit margins over time.<br>
Built Financial forecasting models in python, incorporating historical trends and predictive analytics.<br>
Generated Excel reports based on SQL query outputs for finance teams to analyze in detail, with the Power BI dashboard offering a high-level view for executives.</p>
<p>Integrated ServiceNow data for IT service requests.<br>
Used Active Directory to map users to departments.<br>
Initiated an interactive dashboard using Power BI.<br>
Set up Python scripts for automated data refresh.<br>
Shared results and reports via SharePoint for team collaboration.</p>
<p>Led a cross-functional analytics pod supporting Global Process Owners (GPOs); instituted agile sprint rhythms, technical reviews, and standardized Power BI/SQL development best practices across 5+ countries.<br>
Served as strategic analytics partner to senior GPO executives; translated ambiguous operational challenges into structured business problem solving frameworks, measurable KPI trees, and data architectures.<br>
Reverse-engineered legacy SAP ERP business logic and complex ABAP/reporting routines into performance-tuned SQL data manipulation scripts and unified data models hosted on SAP Cloud Server and Snowflake.<br>
Architected enterprise-grade Power BI dashboards and SAP Analytics Cloud (SAC) reporting suites; engineered complex DAX measures, automated Power Query M-scripts, and intuitive visual storytelling layouts for executive presentations.<br>
Streamlined IT service and project tracking by extracting operational logs from ServiceNow, Jira, and SharePoint lists into centralized SQL staging tables, revealing workflow bottlenecks and boosting delivery velocity.<br>
Championed an AI-first workflow utilizing Copilot and LLM prompt patterns for accelerated query design, DAX debugging, automated technical documentation, and metadata catalogs.</p>
<p>Executed advanced SQL queries and high-volume Excel data manipulations to analyze and audit multi-region geospatial POI and routing feeds, boosting map search precision for global users.<br>
Authored comprehensive data validation benchmarks and error taxonomy documentation to maintain high standards of geographic entity classifications.</p>
<p>Designed star-schema dimensional data models on Snowflake and Azure Synapse, migrating legacy relational warehouses to enhance query throughput by 40% and cut cloud compute costs by 25%.<br>
Engineered automated SQL ETL pipelines and feature engineering routines processing 10M+ daily banking transactions, integrating anomaly-detection AI models that drove a 15% increase in fraud detection accuracy.<br>
Developed executive Power BI reporting dashboards and multi-scenario Excel financial models for Sales & Marketing stakeholders, delivering strategic insights that spurred a 23% revenue uplift.<br>
Trained 4+ junior analysts in SQL optimization, Power Query, and DAX; authored reusable report templates and documentation reducing onboarding cycle times by 35%.</p>
<p>Partnered with clinical leadership to solve patient readmission and inventory shortage issues using SQL queries and Excel forecasting models, achieving an 8% drop in readmissions and 17% reduction in medication shortages.<br>
Replaced disparate spreadsheets with automated Power Query and SQL pipelines, saving over 20 hours per week of manual reporting overhead.</p>
نظام التوظيف التشغيلي المعتمد على الذكاء الاصطناعي أولاً، الذي يوحّد ويؤتمت دورة التوظيف بالكامل للمؤسسات الحديثة حول العالم.
د.جوب منطقة حرة ذ.م.م. 2026 © جميع الحقوق محفوظة
