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.
<p>Led the "Perfect Vision" project for a prominent manufacturing client, transforming KPI scoring via innovative Image Recognition technology.<br>
Developed Python logic to enhance key performance indicators calculation and scoring across diverse retail scenarios, facilitating precise decision-making.<br>
Managed Azure Data Factory data flow pipelines, optimizing deployment of Azure machine learning models for accurate KPI computation.<br>
Utilized YOLOv3 and YOLOv5 technologies to ensure accurate predictions in various pipelines.<br>
Oversaw the Image Annotation Team, ensuring effective creation of model training datasets for accurate predictions.<br>
Hands-on experience with performance tuning and optimizing code in Databricks environment.<br>
Demonstrated proficiency in Microsoft Azure services, specializing in Azure Databricks and Azure Data Factory.<br>
Monitored and optimized SQL databases for large datasets using Microsoft SQL Server, ensuring optimal performance and data integrity.<br>
Conducted regular Power BI dashboard reviews, providing insights for comprehensive scoring reports.<br>
Demonstrated advanced proficiency in Excel, including the utilization of complex formulas, pivot tables, and macros to analyse and manipulate data effectively.<br>
Facilitated strategic client communication, including utilization reports, modifications in deliverables, and analysis of updated features.<br>
Managed weekly business review (WBR) reports, ensuring accuracy and timeliness in delivery to stakeholders.</p>
نظام التوظيف التشغيلي المعتمد على الذكاء الاصطناعي أولاً، الذي يوحّد ويؤتمت دورة التوظيف بالكامل للمؤسسات الحديثة حول العالم.
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