Ayoub ETOULLALI

Freelance Data Scientist, Analyst, AI Engineer, Automation & Scraping

Worldwide • Freelance

Dec 2022 - Present • 3 yrs 9 mos

Delivered 50+ commercial technical solutions spanning Generative AI, predictive modeling, high-throughput web scraping, and enterprise automation: • Applied AI & Agentic RAG Systems: Architected document retrieval assistants using LangChain and LlamaIndex. Built scalable AI content engines (GPT-4o, Claude) via n8n and Flask to process databases of 30M+ records into targeted media. Deployed Vision-AI clinical workflows, multilingual chatbots, ATS resume parsers, and RLHF evaluation pipelines. • Machine Learning & Advanced Analytics: Engineered explainable clinical risk models (XGBoost, Random Forest) with SHAP interpretability and Streamlit dashboards. Developed e-commerce time-series demand forecasting models paired with Power BI, association-rule recommender engines (Apriori), sports valuation algorithms, and telemetry anomaly detection systems. • Web Scraping & Data Engineering: Architected distributed data ingestion frameworks processing over 9M public records and automated tender alerts (AlertesMarches). Built resilient scraping pipelines with dynamic proxy rotation, anti-detect browser automation (Playwright, Selenium, Incogniton), and robust JSON/relational ETL validation systems. • Workflow Automation & Integration: Deployed autonomous publishing loops, B2B lead generation engines, and operational workflows using Make.com, self-hosted n8n, and custom Python scripts. Integrated Shopify inventory webhooks, social media APIs, and automated file-watchers. • Core Stack: Python (Pandas, Scikit-Learn, XGBoost), LangChain, LlamaIndex, OpenAI/Claude APIs, Streamlit, Power BI, Playwright, Scrapy, n8n, Make.com, Flask, PostgreSQL, MySQL.

Data Scientist, Analyst & AI Engineer

Apexiom • Fulltime

Sep 2024 - Jul 2025 • 10 mos

- Designed and deployed an AI-powered chatbot using LLM integration (RAG) for the restaurant and book reservation sector, enhancing user interaction and automating customer service. - Developed multiple recommendation systems utilizing hybrid and content-based filtering to improve personalization in restaurant and book recommendation engines - Engineered a lead generation automation pipeline using advanced web scraping techniques for efficient and scalable data collection. - Conducted in-depth data analysis on restaurant operations and user behavior to extract actionable business insights. - Directed strategic initiatives & Quality Manager and managed project lifecycles by leading cross-functional teams of marketers, designers, and developers, ensuring alignment of technical efforts with business goals and timely delivery. - Implemented AI-driven automation for meeting management, transforming discussions into actionable tasks through integrations with ClickUp and Jira. - Led the development and execution of digital marketing strategies, optimizing costs, budgets, and performance metrics (ROI). - Managed and expanded the company’s digital portfolio and website infrastructure, applying SEO best practices, conducting keyword research using SEMrush and other tools, and maintaining systems via Google Cloud Console and other cloud platforms. - Built and deployed AI automation workflows for content creation and cross-platform publishing across social media (Facebook, Instagram, Threads, X, Pinterest, LinkedIn) and blogging platforms (WordPress, custom CMS). Tools: Python (ML, Selenium, Requests, Beautiful Soup), Rasa, LLMs (RAG), Automation Tools, GenAI APIs

Data Scientist & Generative AI

Adria Business & Technology • Fulltime

Jan 2024 - Jun 2024 • 5 mos

- Benchmarked and developed an intelligent virtual assistant, improving user interaction efficiency by 30%. - Fine-tuned the Mistral 7b model, enhancing chatbot accuracy by 25%. - Integrated Sentiment Analysis, resulting in a 20% increase in customer satisfaction. Tools: Python (Hugging Face, LangChain), LLMs (RAG, Prompt E.), AI Platform (Ollama)