Ayoub ETOULLALI

Freelance Data Scientist, Analyst & AI Developer

Worldwide • Freelance

Dec 2022 - Present • 3 yrs 5 mos

- Developed and deployed advanced AI systems, including a chatbot with Agentic RAG architecture, integrating LLMs, function/tool calling, prompt engineering, and session management (Redis + PostgreSQL). Built automated testing with Pytest and a full evaluation pipeline (code-, human-, and LLM-based) visualized via Streamlit and Grafana dashboards for real-time performance monitoring and optimization. - Implemented automation workflows, such as LinkedIn Automation and AI-driven website chatbots, to streamline business processes and enhance user engagement. - Delivered customized consulting and technical documentation for clients, including: * Professional academic thesis preparation with full technical architecture, conception, and visualization. * AI chatbot integration advisory for WordPress and enterprise environments. - Conducted advanced data analytics and AI modeling for multiple domains: * E-commerce analytics: improved product grouping, association rule mining, and ROI calculation; designed Power BI dashboards and AI forecasting models for stock management. * E-commerce order pipeline optimization: developed data cleaning, feature engineering, and visualization workflows. * Satellite Receiver System Analysis: identified reliability issues through Python-based analytics (Pandas, Matplotlib, Seaborn). - Delivered educational and technical content, including: * Courses on Data Science (PCA, t-SNE, activation functions) and Deep Learning (RNN) with hands-on Python deliverables in PDF format. * Authored Data Science and AI technical articles, mathematical problem-solving tutorials, and differential equation implementations. - Trained and mentored students and professionals on computer vision, data analytics, and AI workflows. Tools: Python (Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, LangChain, Rasa Pro, LLMs, LangSmith, Pytest), Streamlit, Grafana, Power BI, PostgreSQL, Redis, APIs, Make.com, Cloud platforms (Google Cloud, Cloudflare), WordPre

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)