Al Mahdi is a digital transformation expert at the forefront of the AI revolution who guides businesses through the transformative power of AI and offers clients a comprehensive and personalized support system that addresses their specific challenges. With expertise in developing systems that use Machine Learning, neural networks, and new technologies, he crafts highly performant software using a client-centered approach and feedback to fine-tune the quality of solutions delivered to clients. Boasting a diverse set of technical skills, ranging from Big Data and BI to business analysis and AI, allows Al Mahdi to navigate complex challenges, identify valuable insights, and develop actionable ROI-centric solutions.
Helping clients from different sectors (banking , services, manufacturing ) on their Digital Transformation projects .
focusing on getting the best of their data and available technologies (cloud , AI , BI ) to generate add value , increase productivity and reduce costs.
working closely with clients ,and bringing high value expertise to help them overcome the complexity of the AI edge and responding to their specific needs ,providing consulting services and mentoring .
Full Stack profile , with 12 years expertise on the industry , can handle all the steps and task involved in project that require diverse skills (business analysis , data analysis ,data engineering , Machine learning , BI ,cloud administration ) , that normally require a large team ,reducing the team size and cost.
Digital TransformationArtificial Intelligence (AI)
Data EngineeringBusiness AnalysisComplex Data Analysis
Cloud Architecture
Solution Architecture
Business Intelligence (BI)
Azure Cloud Services
AWS CloudMachine Learning Operations (MLOps)
OpenAI GPT-4 API
STMicroelectronics
Lead Data Scientist
2020 - 2022 (2 years)
Switzerland
Designing and Building AI/Data/BI Solutions from the POV (proof of concept) and ROI (Return Of Investment) to the deployment in production and maintenance.
Managing the Digital Transformation and evolution of solutions , conducting trainings and workshops for the users , as much of the technologies and AI concepts like ML where new to the users .
working on projects on the AI IOT ( artificial intelligence internet of things ) ,in solutions related to predictive maintenance and equipments monitoring.
as the company specialize in High technologie Semiconductor manufacturing.
Provide accurate and actionable business-focused insights for the building of complex systems; by providing multiple criteria for the definition of development processes and detecting anomalies on products and services for ENOTAMI SARL.
Developed scalable and efficient algorithms and models for chatbots, recommendation systems, data pipelines, dashboards and decision support systems.
Solved complex data science challenges by improving and upgrading different data solutions for the company.
The goal for the project was to help the client use data on the recently available government website: www.marchespublics.gov.ma to better target and prepare bids for projects. Built a recommendation system that helped the company to concentrate its efforts on - going through technical studies, preparing for bids, financial guarantees, etc. Worked on the infrastructure that provided information for the decision-making system and managed initial feasibility assessment and development of the recommendation system for the project.
Supervised a project with the aim to build a real estate agent chatbot that goes beyond the normal FAQ layer to help users find real estate solutions within locations they are looking for.
Resolved two key operational problems for the company. Worked on an invoicing problem within the billing system, resulting in the rejection of payments for invoices issued. Improved the control of gas oil, cement and iron at the site reduced the frequency of warnings on site.
Provided analysis for the study of the markets for fruits, taking note of variations in prices and making recommendations on what culture of fruit to plant, minimizing the risks from poor weather and pricing in order to have an equilibrated portfolio of cultures in the end.
Conducted a feasibility study on the profitability of an investment in a refinement plant for the wastewater produced by a soap factory or not. This included a study on the global glycerine market and current price and also looked at the possible variations of outcomes on the project. An assessment of the risk of new refinement technologies in the near future was also considered.
Education
Microsoft Certified: Azure Data Scientist Associate
Microsoft
2023 - Present (1 year)
Master's Degree in Decision Support Systems and Project Management
Ibn Tofeil University , Kenitra , Morocco
2010 - 2012 (2 years)
Bachelor's Degree in Mathematics and Computing
Faculty of Science ,Mohamed 5 University,Rabat ,Morocco
2004 - 2010 (6 years)
Thermodynamics
Faculty of Science ,Mohamed 5 University,Rabat ,Morocco
