Open to opportunities

Hsan Bellakhel

@hsanbellakhel

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Junior Data Scientist focused on predictive scoring, MLOps, and deep learning—ready to deliver production AI.

Tunisia

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What I'm looking for

I’m looking for a junior Data Scientist / AI Engineer role where I can ship production-ready predictive models and GenAI features, with strong MLOps for monitoring and evaluation, and meaningful product-driven collaboration.

I’m a Data Science engineering graduate with hands-on experience across predictive scoring, MLOps, deep learning, and data engineering. I’ve audited and improved churn scoring models in production environments by validating reliability and business relevance using metrics like AUC and GINI.

In my internships, I automated monitoring and reporting pipelines (ROC/KS, automated metric computation) to support continuous model performance. I also redesigned churn logic to better identify at-risk customers and translate model outputs into measurable business impact.

I build end-to-end intelligent systems, from structured data foundations to LLM-driven applications—like a RAG-based medical chatbot integrated with Django REST and a React/TypeScript frontend, validated on domain-specific scenarios. I’m now focused on growing as a junior Data Scientist / AI Engineer and delivering dependable, monitored AI that supports real decision-making.

Experience

Work history, roles, and key accomplishments

ML/Data Science Intern

Splio

Feb 2026 - Jun 2026 (4 months)

Audited 3 production churn scoring models on BigQuery using SQL scripts, evaluating statistical reliability (AUC, GINI) and business relevance (ARPU). Automated ROC/KS metrics and report generation via a Python pipeline and redesigned churn logic to identify at-risk customers and drive estimated revenue gains.

SQL BigQuery Churn Modeling Python Performance Monitoring Business Metrics (ARPU)

Research Intern (Data Scientist)

Bims Lab

Jun 2025 - Aug 2025 (2 months)

Engineered a pharmacogenomic knowledge base of 1,339 drugs using data cleaning pipelines and API enrichment. Built a RAG-based medical chatbot with Django REST and React/TypeScript, integrating LLM inference and validating it on 20 domain-specific test scenarios.

Data Cleaning Data Enrichment Pharmacogenomics Knowledge Base RAG LLM Inference React TypeScript REST APIs

HR Manager

Enactus Essai

Jan 2024 - Jan 2025 (1 year)

Organized 5 charity events and managed a team of 60 students, developing coordination and leadership skills.

Team Management Leadership Event Coordination

Data Analyst Intern

National Council of Statistics (Cns)

Jun 2024 - Aug 2024 (2 months)

Developed 14 real-time interactive dashboards in R/Shiny to visualize national demographic KPIs for decision-making teams. Automated statistical reporting workflows with R scripts, reducing end-to-end report generation time from 2 days to 3 hours.

R R Shiny Data Visualization Dashboards KPI Reporting Statistical Reporting

Education

Degrees, certifications, and relevant coursework

Higher School of Statistics and Information Analysis (ESSAI)

National Engineering Degree in Data Science, Data Science

2023 - 2026

Activities and societies: Leadership: HR Manager at ENACTUS ESSAI; organized 5 charity events; managed team of 60 students (2024–2025).

Completed a National Engineering Degree in Data Science at ESSAI from Sep 2023 to Jun 2026. Served as ENACTUS ESSAI HR Manager, organizing 5 charity events and managing a team of 60 students (2024–2025).