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 digital transformation projects focusing on getting the best of their data and available technologies (cloud, AI, BI) to 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.
Responding to clients' specific needs and providing consulting services and mentoring.
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)
Remote
Designed and built AI/Data/BI solutions from PoC and ROI to production deployment and maintenance.
Managed solutions' digital transformation and evolution and led training workshops for users new to AI and ML.
Worked on AI/IoT projects and solutions related to predictive maintenance and equipment monitoring.
The goal of 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 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.
Resolved two key operational issues 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, reducing the frequency of warnings on site.
Conducted a feasibility study of the profitability of an investment in a refinement plant for the wastewater produced by a soap factory or not. This included a study of the global glycerin market and current price, a risk assessment of new refinement technologies, and possible outcome variations.
Prepared an analysis for a fruit markets study, considering price variations and making recommendations on what fruit to plant, minimizing the risks from poor weather and pricing in order to have an equilibrated portfolio of cultures in the end.
Supervised a project aimed at building a real estate agent chatbot that goes beyond the normal FAQ layer to help users find real estate solutions within their desired locations.
Education
Azure Data Scientist Associate
Microsoft
2023 - 2024 (1 year)
Machine Learning with Apache Spark; Advanced NLP with spaCy; Building Chatbots in Python; Cleaning Data in Python; Importing Data in Python (Part 2); Intermediate Python for Data Science; Python Data Science Toolbox (Part 2)