Freelancer profile translated to English.
Back to original languageAbout Mahmoud
I worked as a Data Consultant at Udacity (USA) and recently as an Artificial Intelligence Engineer at the TUM AI Center (Center for Artificial Intelligence at the Technical University of Munich, Germany).
The TUM AI Center focuses on innovation and entrepreneurship.
Overall, I have more than 9 years of experience in machine learning and artificial intelligence.
Please find what people have said about me:
alison.com/course/mysql-and-statistics-for-data-analysis
youtube.com/watch?v=Z3dB-QqEXsw
Tools and Programming.
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I collaborated with a leading data science company to develop a bootcamp course in data science.
The name of the company: Superdatascience.
superdatascience.com/careers
Superdatascience has over 3 million enrolled students.
Attached you will find what Superdatascience said about me.
German
Native or bilingual
English
Fluent
Can work on-site
München (up to 50km), Berlin (up to 50km), Frankfurt am Main (up to 50km), Hamburg (up to 50km), Hannover (up to 50km)
Experience
- UnternehmerTUMData Science EngineerEDUCATION AND E-LEARNINGJuly 2020 - Today (6 years and 1 month)München, GermanyDeveloped a revenue optimization model that increased profit by 15%.Implemented advanced predictive models using Python, reducing processing time by 25%.Led a team of five data analysts in multiple projects to drive data-driven strategy.Optimized the data validation process, reducing the error rate by 10%.
- Omdena USAAI EngineerEDUCATION AND E-LEARNINGMay 2019 - May 2022 (3 years)Created custom data models and algorithms applied to datasets, improving customer engagement by 20%.Through predictive modeling, customer marketing investment efficiency was increased by 18%.Collaborated with a cross-functional team to transform data into key decision-making insights.
- UdemyPremium Data Science InstructorEDUCATION AND E-LEARNINGMay 2019 - May 2023 (4 years)
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Education
- AI diploma from Entrepreneurship TUMEntrepreneurship TUM2020Design Thinking and Data Thinking methods Agile product development (Scrum, retrospectives, planning, sprint reviews) Lean startup approach Validation and deployment of Al use-cases Proof of concepts for data-driven applications Low & Hi-Fi prototyping Setting up feasibility tests and pass criteria Risk validation through experiments Iteratively building technical MVPs User Story Mapping Lean Canvas and Data Canvas Al Product Management Interdisciplinary and cross-functional teamwork Customer interviews and empathy maps
Certifications
- Nano degree diploma in data scienceUdacity International2018