Chahla Tarmoun

Available to hire

I am Chahla Tarmoun, an AI Engineer with a passion for turning data into practical solutions across finance, healthcare, and market analysis.

About

I am Chahla Tarmoun, an AI Engineer with a passion for turning data into practical solutions across finance, healthcare, and market analysis. I enjoy collaborating with cross-functional teams to translate complex data and AI models into actionable insights that support risk management, product development, and informed decision-making.\n\nMy experience includes designing and deploying end-to-end ML pipelines, NLP extraction, anomaly detection, and time-series forecasting. I value clear communication and practical impact, and I strive to deliver scalable, data-driven results that reduce manual effort and enable better business decisions.

  • Joined October 2025

Industry experience

  • Financial Services
  • Healthcare
  • Life Sciences
  • Professional Services
  • Software & Internet
  • Education
  • Media & Entertainment

Projects · 2

  • Built a complete object detection pipeline on the KITTI autonomous driving dataset.
  • Trained and benchmarked YOLOv8m and Faster R-CNN, achieving a 91.9% mAP50 with YOLOv8 and delivering a detailed comparative evaluation of both architectures for real-world perception tasks.
  • Development of a GenAI application that transforms natural language specifications into UML diagrams, using an LLM-based architecture orchestrated with LangChain and the OpenAI API.
  • Design of a prompt chain (zero-shot, few-shot, and feedback loop) enabling the automatic generation of PlantUML code.

Work experience

Data Scientist Apprentice - Trade Surveillance & Compliance · Société Générale Corporate & Investment Banking (SG CIB)Sep 2024 – Sep 2025 · 1 yr 1 mo

Contributed to the creation of a new compliance control to detect price manipulation during auction periods, using statistical and anomaly detection indicators. Conducted needs analysis and data assessment with Risk and Compliance, arbitrating trade-offs between data quality, risk coverage, and compliance teams’ operational capacity. Delivered an operational solution reducing manual transaction reviews by 90%, scalable to additional markets.

Data Scientist Intern · Integrative PhenomicsSep 2024 – Oct 2025 · 1 yr 2 mos

Developed an end-to-end NLP pipeline for extracting food–disease relationships from 10K+ scientific abstracts, including named entity recognition (NER), linking (NEL), and relation extraction (RE). Fine-tuned Transformer models (BERT, BioBERT) for relationship classification, achieving a 90.9% F1 score and significantly improving information retrieval accuracy.

Data Scientist Intern · Innov’XSep 2023 – Oct 2025 · 2 yrs 2 mos

Built a large-scale web scraping pipeline using BeautifulSoup and Selenium, to collect and structure agricultural pricing data from multiple sources, improving market visibility. Trained and evaluated predictive models to forecast wholesale market prices and analyze margin gaps, providing actionable insights to stakeholders.

Education

Master 2, Data Science (MOSEF) · Université Paris I Panthéon-Sorbonne2024 – 2025
Double Degree, Applied Mathematics and Data Science · ENSIIE2023 – 2025
Engineering Degree, Scientific Modeling and Computer Science · Mohammadia School of Engineers (EMI)2021 – 2025
Preparatory Classes for Engineering Schools · CPGE Mohammed VI2019 – 2021

Certifications and awards

HP Challenge - 1st place2024 – 2025
Nexialog Challenge - 1st place2025
Microsoft Azure Fundamentals (AZ-900)2025

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