Freelancer profile translated to English.
Back to original languageAbout Mohcine
I can assist you in designing and deploying Data & Machine Learning solutions to transform your data into concrete decision-making levers.
I mainly work on data science, machine learning, and data engineering projects, with extensive experience in Python, Azure, and Power BI. I have notably worked on energy consumption prediction models as well as on building dashboards and data pipelines.
What sets me apart is my ability to cover the entire data cycle: from data extraction and preparation to modeling and deployment. I also place great importance on code quality, model performance, and business understanding.
I regularly work on projects such as:
Forecasting models (time series, regression, ML)
Data analysis and Power BI dashboards
Data pipelines on Azure / Python
Automation of data processing
Machine Learning projects applied to concrete business cases
My goal is to provide reliable, exploitable, and directly useful solutions to business teams.
French
Native or bilingual
English
Fluent
Can work on-site
Paris (up to 50km)
Experience
- CARCOData Engineer/Data Scientist (Permanent Contract)BANKING AND INSURANCEJanuary 2025 - Today (1 year and 5 months)Paris, France
- Processing and validation of DSN and insurance data (analysis, regulatory compliance, data quality).
- Design of an actuarial data warehouse and creation of analytical dashboards for business teams.
- — Automation of processes (anomaly detection, database correction, reporting) significantly reducing processing time and simplifying internal operations.
- — Implementation of NLP models for member data correction and API integration for data enrichment.
- — Technical stack: Python, SQL, VBA, Streamlit, NLP, APIs, Excel, DSN, Data Quality, Oracle, Power BI.
- DevoteamWork-Study Program Data Scientist - Observability/AIOctober 2023 - September 2024 (11 months)91300 Massy, France
- Development of anomaly detection models in multi-cloud systems with Deep Learning (LSTM, Autoencoder) and Time Series.
- — Analysis of logs via NLP (spaCy, Hugging Face) to identify the causes of anomalies.
- — Deployment of models on distributed environments with Apache Spark and Kubernetes.
- — Technologies: Python, Deep Learning (LSTM, Autoencoder), NLP (spaCy, NLTK, Hugging Face, Transformers), Apache Spark, Kubernetes, Machine Learning, Time Series.
- Smart Building Energies (Vinci)Data Scientist InternshipApril 2023 - September 2023 (5 months)Lille, France
- Development of a predictive system to optimize energy consumption with Machine Learning (XGBoost) and Deep Learning (LSTM).
- Extraction and analysis of data via Azure Data Explorer (KQL) and creation of dashboards with Power BI.
- Deployment of the model on Azure Machine Learning.
— Technologies: Python, SQL, KQL, Azure, Power BI, Machine Learning, NLP.
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Education
- Computer Engineering DegreeÉcole nationale supérieure Mines-Télécom Lille Douai IMT Nord Europe2024Diplome d'ingénieur en informatique
- Computer Engineering DegreeL'Ecole Nationale Supérieure des Mines de Rabat (ENSMR)2024Diplome d'ingénieur en informatique