i
issamelkzabri

Issam ElKzabri

@issamelkzabri

AI Engineer : Machine Learning , Gen AI , Optimisation

Marocco
Inglese, Francese, Arabo
Alcune informazioni sono riportate in lingua inglese.
Chi sono
Hi! Got a problem you need solved? I can help you predict sales, automate tasks, build AI chatbots, or reduce business costs. I specialize in Machine Learning, Generative AI, and Optimization, helping you turn complex challenges into practical solutions. From predictive models and AI automation to logistics, scheduling, and resource optimization, my goal is simple: understand your needs and deliver results that make a difference. Let's solve your problem together!... Continua a leggere

Competenze

i
issamelkzabri
Issam ElKzabri
offline • 

Consulta i miei servizi

Pulizia dei dati
I will do data cleaning and preprocessing
A partire da20 USD / progettoMaggiori dettagli

Portfolio

Esperienza lavorativa

ONCF

AI Engineer

ONCF

Dec 2025 - Present • 11 mos

Developed and implemented AI-driven solutions to address railway freight and logistics challenges, combining Machine Learning, Generative AI, and Mathematical Optimization to automate workflows, improve operational efficiency, and support data-driven decision-making. Key Responsibilities & Achievements Machine Learning: Developed, trained, evaluated, and deployed ML models to extract insights from operational data, identify patterns, and support predictive decision-making. Generative AI & LLMs: Developed LLM-powered applications and intelligent assistants to automate information retrieval, streamline access to operational knowledge, and support business workflows. Mathematical Optimization: Designed and implemented optimization models for logistics planning, resource allocation, and scheduling, considering operational constraints and efficiency objectives. Data Engineering & Preparation: Built automated data extraction and processing pipelines using Python, Pandas, Requests, and BeautifulSoup to transform heterogeneous railway data into structured datasets. Workflow Automation: Automated repetitive operational processes, data processing, and reporting to reduce manual intervention and improve information accessibility. Decision Support: Translated operational challenges into data-driven solutions, combining predictive analytics and optimization techniques to support better planning and resource utilization. Technologies: Python, Scikit-learn, Pandas, NumPy, PuLP, LLMs, Generative AI, Machine Learning, Mathematical Optimization, BeautifulSoup, Requests, Excel.