Ahmed Sherif
Senior Business Intelligence Specialist at Microsoft
Cairo, Cairo, Egypt
Summary
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Rockstar🎓
Top SchoolAhmed Sherif is a Senior Business Intelligence Specialist with nine years of experience blending accounting and finance expertise with data science to drive sales performance and reduce churn at Microsoft. He builds actionable dashboards and reports, mentors BI teams, and manages end-to-end projects that translate complex sales data into strategic decisions. Comfortable in both hands-on analytics and MLOps, he has contributed automation and model deployment code to Microsoft's popular WhatTheHack repository, bridging machine learning lifecycle work with production BI. Known for meticulous attention to detail, Ahmed pairs financial acumen with practical data engineering skills to reveal not‑obvious revenue opportunities. Based in Cairo, he continually expands his toolkit in Python and ML, and is the author of practical BI and Spark deep learning cookbooks.
9 years of coding experience
Bachelor of Commerce (B.Com.), Accounting and Finance, Bachelor of Commerce (B.Com.), Accounting and Finance at Ain Shams UniversityGenral, English, Genral, English at The American University in Cairo
Stackoverflow
1reputation
0reached
0answers
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Github Skills (14)
continuous-deployment10
azure-container-apps10
azure-machine-learning10
azure-container-instances10
python10
ml-deployment10
json9
rest-api8
dockers7
docker7
cicd6
machine-learning5
azure4
microsoft-azure4
Programming languages (5)
Github contributions (5)
microsoft/WhatTheHack
Oct 2020 - Feb 2021
A collection of challenge based hack-a-thons including student guide, coach guide, lecture presentations, sample/instructional code and templates. Please visit the What The Hack website at: https://aka.ms/wth
Role in this project:
MLOps Engineer
MLOps EngineerContributions:1 review, 72 commits, 4 PRs in 3 months
Contributions summary:Ahmed's commits primarily focus on automating and managing the machine learning lifecycle within Azure. They implemented scripts to evaluate, register, and deploy machine learning models to Azure Container Instances (ACI). The user's contributions included code to download, register, and deploy models, as well as configurations for scoring and deployment. The commits demonstrate the orchestration of the end-to-end model deployment process, including evaluating models and managing their lifecycle.
what-the-hackvisitstudent-guidewthcoach
microsoft-partner-solutions-ai/MLOps
Apr 2020 - Dec 2020
Azure ML Services with DevOps
Contributions:11 commits, 11 pushes in 7 months
devopsazure-mlmlopsazure-machine-learningazure
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