Freelancer profile translated to English.
Back to original languageAbout Essohanam Josue
Data & AI Engineer in the final year at ENSI Al Hoceima, I transform raw data into clear and actionable business decisions.
What I deliver concretely:
→ Predictive models with business recommendations (churn, financial scoring, demand forecasting)
→ End-to-end analytical pipelines ready for production
→ Executive dashboards for decision-makers (Power BI, Plotly)
→ RAG systems and AI agents on your business documents
Recent results:
- Churn analysis for an energy provider (BCG framework) — XGBoost Accuracy = 0.96, targeted retention recommendation delivered
- Financial health scoring for 9,600 SMEs in Southern Africa — F1 = 0.82, scoring API deployed
- National internet demand prediction in Togo — ROC-AUC = 0.86, guiding infrastructure investments
2 internships in applied AI (ISICOD · 3D Smart Factory) and direct exposure to BCG consulting frameworks.
I think like a consultant and build like an engineer. I don't stop at the model — I deliver the recommendation.
Available immediately · Casablanca
French
Native or bilingual
English
Conversational
Remote only
Primarily works remotely
Experience
- GeteamData & Ai EngineerTECHMarch 2026 - Today (3 months)Casablanca, MoroccoDesigning an end-to-end AI system to automatically identify jobs of equal value within companies, ensuring compliance with the EU Pay Transparency Directive 2023/970.The system processes raw HR data through a 6-layer pipeline .
- Fine-tuned CamemBERT for gender bias detection with contrastive learning, built semantic ESCO occupation mapping via FAISS + sentence-transformers + LLM reranking;
- Developed a knowledge graph in Neo4j linking 300+ French collective agreements (CCN) to the EU ESCO taxonomy;
- Designed a Constitutional 3-agent LLM scoring system evaluating 16 sub-criteria with full audit trail;
- Built interpretable clustering with SHAP explainability, producing court-defensible equal-value groups.
- ISICODData & Ai EngineerTECHJune 2025 - September 2025 (3 months)Rabat, Morocco
- Co-built an end-to-end biometric AI platform for fingerprint classification (12 classes) and ridge counting — processing 15,848 images from 5 heterogeneous sources. Produced the largest labeled dataset of its scope in the literature.
- Delivered a production REST API (FastAPI + React) with real-time inference, model performance dashboard, and admin monitoring directly operational for the product team.
- Sole implementer of a Human-in-the-Loop retraining system: user corrections trigger incremental PyTorch retraining, enabling continuous model improvement without static dataset dependency.
- 3D Smart FactoryMachine Learning EngineerTECHJune 2024 - August 2024 (2 months)Mohammédia, Morocco
- Designed custom Kolmogorov–Arnold Network (KAN) layers integrated into a 3D U-Net for volumetric medical image segmentation achieving +3% accuracy gain over the standard 3D U-Net baseline.
- Optimized architecture through systematic tuning of depth, kernel size, and activation strategies using PyTorch on MRI datasets.
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Education
- EngineerNational School of Applied Sciences of Al Hoceima2026Data engineering
- CPI , Engineering SciencesNational School of Applied Sciences of Fez2023CPI , Sciences de l'ingénieur
Certifications
- BCG - Data Science Job SimulationForage2026