Highly motivated and detail-oriented Data Analyst with a robust background in data analysis, seeking to leverage technical knowledge and expertise to drive data-driven decision-making processes and facilitate organizatio…
Highly motivated and detail-oriented Data Analyst with a robust background in data analysis, seeking to leverage technical knowledge and expertise to drive data-driven decision-making processes and facilitate organizational growth within the healthcare sector.
• Led the "Perfect Vision" project for a prominent manufacturing client, transforming KPI scoring via innovative Image Recognition technology.
• Developed Python logic to enhance key performance indicators calculation and scoring across diverse retail scenarios, facilitating precise decision-making.
• Managed Azure Data Factory data flow pipelines, optimizing deployment of Azure machine learning models for accurate KPI computation.
• Utilized YOLOv3 and YOLOv5 technologies to ensure accurate predictions in various pipelines.
• Oversaw the Image Annotation Team, ensuring effective creation of model training datasets for accurate predictions.
• Hands-on experience with performance tuning and optimizing code in Databricks environment.
• Demonstrated proficiency in Microsoft Azure services, specializing in Azure Databricks and Azure Data Factory.
• Monitored and optimized SQL databases for large datasets using Microsoft SQL Server, ensuring optimal performance and data integrity.
• Conducted regular Power BI dashboard reviews, providing insights for comprehensive scoring reports.
• Demonstrated advanced proficiency in Excel, including the utilization of complex formulas, pivot tables, and macros to analyse and manipulate data effectively.
• Facilitated strategic client communication, including utilization reports, modifications in deliverables, and analysis of updated features.
• Managed weekly business review (WBR) reports, ensuring accuracy and timeliness in delivery to stakeholders.
Led the "Perfect Vision" project for a prominent manufacturing client, transforming KPI scoring via innovative Image Recognition technology.
Developed Python logic to enhance key performance indicators calculation and scoring across diverse retail scenarios, facilitating precise decision-making.
Managed Azure Data Factory data flow pipelines, optimizing deployment of Azure machine learning models for accurate KPI computation.
Utilized YOLOv3 and YOLOv5 technologies to ensure accurate predictions in various pipelines.
Oversaw the Image Annotation Team, ensuring effective creation of model training datasets for accurate predictions.
Hands-on experience with performance tuning and optimizing code in Databricks environment.
Demonstrated proficiency in Microsoft Azure services, specializing in Azure Databricks and Azure Data Factory.
Monitored and optimized SQL databases for large datasets using Microsoft SQL Server, ensuring optimal performance and data integrity.
Conducted regular Power BI dashboard reviews, providing insights for comprehensive scoring reports.
Demonstrated advanced proficiency in Excel, including the utilization of complex formulas, pivot tables, and macros to analyse and manipulate data effectively.
Facilitated strategic client communication, including utilization reports, modifications in deliverables, and analysis of updated features.
Managed weekly business review (WBR) reports, ensuring accuracy and timeliness in delivery to stakeholders.
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
