Senior Data Scientist with 5+ years of end-to-end experience designing, deploying, and industrializing Machine Learning and AI solutions for international, product-driven environments. Proven track record building data products that generate measurable business value — from LLM-based assistants and risk-scoring engines to recommendation systems and real-time data pipelines.

Strong communicator, comfortable translating complex analyses for technical and non-technical stakeholders, and driving a data-driven culture across Product, Marketing, and Engineering teams.

If you're looking for a senior data scientist & AI engineer with deep hands-on experience shipping ML to production — let's talk. I'm always open to interesting collaborations.

Engineering Degree (Bac+5) in Information Systems and Big Data from the National School of Applied Sciences, with a preparatory foundation in Mathematics & Computer Science. Recognized as a top performer in Competitive Programming. Fluent in French, English, and Arabic.

Languages: Python · SQL · Java · Scala · JavaScript · C/C++

Machine Learning & AI: Pandas · NumPy · Scikit-learn · TensorFlow · PyTorch · Keras · XGBoost · LightGBM · Transformers · LangChain · LangGraph · CrewAI · OpenAI APIs · Hugging Face

Specializations: AI Agents · LLMs & Generative AI · Prompt Engineering · RAG · NLP · Speech-to-Text · Recommendation Systems · Predictive Modeling · Geospatial Analytics

MLOps & Cloud: AWS · GCP · Azure · Docker · MLflow · Git/GitHub · CI/CD

Big Data & Pipelines: PySpark · Hadoop · Kafka · Airflow · ETL design

Databases: PostgreSQL · MySQL · DuckDB · MongoDB · Redis · Neo4j · Cassandra · HBase · Pinecone · ChromaDB

Web & Visualization: FastAPI · Flask · Streamlit · Power BI · Tableau · Matplotlib · Seaborn · Plotly

Data Scientist / AI Engineer — Tersea (Oct 2024 – Present · Casablanca, Morocco)

• Designed and deployed a cost-optimized RAG-based customer support assistant with agentic capabilities for dynamic tool-augmented search workflows.
• Built an end-to-end audio processing pipeline transcribing customer/agent calls into structured chat histories using ASR technologies with custom pre/post-processing.
• Improved prediction and recommendation models with a +20% performance gain through fine-tuning, robust cross-validation, and continuous drift monitoring with automated retraining.
• Partnered closely with Product and Engineering teams to industrialize AI solutions and align ML initiatives with business KPIs.

Data Scientist / Data Engineer — Augurisk (Sept 2021 – Jun 2024 · New York, USA — Remote)

• Owned end-to-end Data Science projects on a digital risk-assessment product, from data sourcing and feature engineering to model training, industrialization, and monitoring.
• Deployed scientific models for environmental and societal risk (crime, flood, wildfire, air pollution, socioeconomic) on distributed infrastructure, serving predictions across millions of US properties.
• Built scalable data pipelines integrating third-party sources (US Census, ACS, NIH, USGS) to power new analytic features.
• Presented advanced analyses and model behavior to technical and non-technical stakeholders across Product and Marketing.

Data Scientist — Mobiblanc (Feb 2021 – Aug 2021 · Casablanca, Morocco)

• Built an end-to-end recommendation system for 2M, a national Moroccan TV channel, increasing content relevance for viewers.
• Engineered the ETL pipeline (Python, MongoDB) and deployed a Collaborative Filtering model via a Flask REST API with Power BI dashboards.

• Agentic AI — DeepLearning.AI
• Generative AI with Large Language Models — DeepLearning.AI
• Deep Learning Specialization — DeepLearning.AI
• Natural Language Processing Specialization — DeepLearning.AI
• Big Data Specialization — UC San Diego
• IBM: Artificial Intelligence Analyst (Mastery Award 2019) · Data Science Foundations · Applied Data Science with Python
• Scrum Foundation Professional Certificate (SFPC)

Check all my certifications on Credly: credly.com/users/ayoub-bouz/badges

• 38th Rank — MCPC 2019
• 8th Rank — ENSAT CPC 2018
• Finalist — E-talents 2021

Fully automated AI-powered short-form content generation workflow for social media. Built with n8n, Gemini, and Kokoro — zero-cost orchestration of video scripts and content pipelines.

Conversational agent over internal risk methodologies and scientific documentation. Built with LangChain, FAISS vector search, and OpenAI for retrieval-augmented generation.

End-to-end ML pipeline forecasting power consumption across 3 city zones — preprocessing, feature engineering, MLflow tracking, AWS deployment. Stack: scikit-learn, Flask, Docker, MLflow, AWS EC2/ECR.

Graph + ML fraud detection identifying suspicious transaction patterns using Neo4j for entity relationships and scikit-learn for classification.

Real-time financial data platform enabling live market ingestion and near real-time analytics using Kafka and AWS.

NLP analytics system tracking and visualizing public sentiment on Brexit over time using large-scale Twitter data (Python, NLTK, scikit-learn).

• 🔭 Currently: Data Scientist / AI Engineer at Tersea (Casablanca)
• 🌱 Deep in: AI Agents, LangGraph, LLM industrialization, MLOps
• 👯 Open to: ML/DL/AI collaborations and consulting
• ⚡ Fun fact: Still waiting for my Valorant pro career to take off.
• 🔒 PS: Client work is strictly private and not showcased here.