
Mohamed Amine EL ASLA
Data Scientist | IBM Certified | ENSIAS Alumni
Salaire / Taux journalier
Casablanca, Maroc
Freelance, ouvert au CDI
Expertises
Langues
À propos
Introduction
A passionate and results-oriented Data Scientist, recently graduated from ENSIAS with a strong foundation in machine learning, big data technologies, and data analysis. I have hands-on experience in developing innovative solutions, from creating autonomous AI agents to reduce financial penalties at CIRCET Morocco to designing mobile applications for the visually impaired. Proficient in a wide range of tools and technologies including Python, Azure, TensorFlow, and Power BI, I am driven by solving complex challenges and am actively seeking opportunities to contribute to impactful data-driven projects.
Expérience de travail
Final Year Project
CIRCET MOROCCO
févr. 2025 - juil. 2025
6 mois
Casablanca-Settat, Morocco
– During my final year internship at CIRCET Morocco, I was tasked with addressing the critical business challenge of reducing financial penalties that resulted from human errors in after-sales service calls. – To solve this, I engineered and deployed a complete, autonomous vocal AI Agent designed to replace human assistants. – This end-to-end conversational solution utilized OpenAI's Whisper for high-accuracy speech-to-text transcription, a GPT-3.5-turbo LLM for intelligent decision-making, and ElevenLabs to provide natural text-to-speech responses. – The project involved a tech stack of Python, various APIs including OpenAI, Salesforce, and Twilio, and deployment technologies like Docker and GitLab.
Summer Intern
UM6P - School of Hospitality, Business & Management
juil. 2024 - août 2024
2 mois
Ben Guerir, Maroc
– As a summer intern at DEV UM6P, I focused on improving data accessibility and analytical accuracy for non-technical teams. – I developed a dynamic dashboard application using Streamlit, which empowered users to generate custom reports and gain on-demand insights, significantly reducing the reliance on manual data pulls. – In addition, I implemented and fine-tuned BERT-based text processing models to automatically clean and structure raw datasets. – This initiative enhanced the quality of the data, which in turn improved the accuracy of downstream analytical tasks. – The core technologies used were Python, Streamlit, scikit-learn, BERT, and data visualization libraries like Plotly and Matplotlib.
Summer Intern
OCP Maintenance Solutions
juil. 2023 - août 2023
2 mois
Safi, Maroc
– In my role as a summer intern at OCP Maintenance Solution, I worked on a predictive maintenance project to forecast equipment failures. – My responsibilities included collecting and preprocessing machine logs using Pandas for data preparation. – Following this, I implemented and evaluated several machine learning models, including logistic regression, decision tree, and random forest, to identify patterns indicative of future failures. – Through this process, I successfully developed a predictive model that achieved 80% accuracy in failure prediction, utilizing a stack of Python, Pandas, scikit-learn, and visualization tools like Matplotlib and Plotly.
Formation
Ecole Nationale Supérieure d'Informatique et d'Analyse des Systèmes - ENSIAS
Associate's degree, data
2022 - 2025
3 ans 7 mois
CPGE - Classes préparatoires aux grandes écoles
Electrical, Electronic and Communications Engineering Technology
2020 - 2022
1 an 11 mois
Licences et certifications
Fundamentals of Deep Learning
Délivré le : –
IBM Certified Data Engineer - Big Data
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IBM Data Science Practitioner Certificate
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