Hicham Rkiba

I’m a Data Scientist specialized in end-to-end machine learning pipelines and Generative AI applications. I focus on automating complex workflows and shipping scalable solutions that translate directly into measurable business value.

In my Data Scientist Intern role at Société Générale, I architected an automated PDF extraction pipeline that reduced manual processing by 70%. I also deployed Power BI dashboards for 50+ stakeholders, cutting report latency by 30% while ensuring strict data integrity for downstream financial reporting.

Previously, at Maroc Telecom, I performed exploratory analysis on 5M+ customer records and engineered behavioral features to power machine learning models. I built an XGBoost churn risk model, designed KPI monitoring with anomaly detection, and reduced service interruptions by 20% through robust automated pipelines.

Alongside internships, I build practical GenAI and MLOps systems—like a multi-agentic hybrid RAG workflow (LangGraph, Pinecone, LlamaIndex) and a production-ready anomaly detection pipeline with Docker, MLflow, and FastAPI. I enjoy working in Agile environments where production-ready models, validation, and monitoring are treated as first-class deliverables.