Data Analyst with experience in customer segmentation, retail inventory optimization, data analysis, and dashboard development. Skilled in Python, SQL, R, Tableau, Power BI, AWS, Azure, ETL tools, and data processing pla…
Data Analyst with experience in customer segmentation, retail inventory optimization, data analysis, and dashboard development. Skilled in Python, SQL, R, Tableau, Power BI, AWS, Azure, ETL tools, and data processing platforms, with a Master of Science in Information Systems.
Designed and implemented a customer segmentation model to categorize customers based on spending habits and demographics.
Achieved a 20% increase in the marketing team’s conversion rate.
Gathered and analyzed vast datasets from customer transactions, surveys, and other data streams.
Used AWS services for ETL processes.
Implemented acoustic (coremetrics) for optimized customer engagement and behavior.
Used data mining techniques to identify meaningful patterns for generating insights from extensive data sources.
Tapped into Cerner Millennium data to glean insights into customers' healthcare needs and utilization patterns.
Employed machine learning clustering to construct a customer segmentation model.
Achieved a 90% accuracy rate.
Leveraged data warehouse infrastructure to ensure efficient and secure data storage and management.
Visualized findings using Tableau for stakeholder communication.
Enabled targeted marketing campaigns for improved customer engagement.
Contributed to a 20% increase in conversion rates.
Developed a retail inventory optimization project to balance product availability with customer demand.
Integrated predictive modeling and demand forecasting using historical sales data and customer demographics in DBT for ETL integration.
Employed text mining to analyze customer preferences, sentiment, and reviews for product and marketing insights.
Conducted data cleansing, validation, and transformation in Azure data processing.
Forecasted storage resulting in 99% data accuracy.
Formulated analysis datasets to support tables, graphs, lists, reports, and presentations.
Used statistical languages R and SAS to improve efficiency by 20%.
Compiled a data rules spreadsheet using MS Excel to update allowed values and findings.
Generated SQL queries and reports from SQL Server for the executive management team.
Produced monthly reports with critical metrics.
Crafted dashboards in Power BI using calculated fields, parameters, calculations, sets, and hierarchies.
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
