Wadhah Dahouathi

I’m a recent Master’s graduate in Data Science from École Polytechnique, driven by a passion for solving real-world problems through advanced AI technologies. My journey into data science began with a deep enthusiasm for mathematics, which led me to Montreal during my gap year to refine my applied math and optimization skills. This formative experience laid the groundwork for my academic and professional growth in AI and machine learning.

At IBM Consulting, I developed a Marketing Strategy Simulator for L'Oréal's clients. Using advanced TimeLLM models, the simulator forecasted ROI in real-time, enabling clients to visualize and refine their marketing strategies with precision. This project highlighted my ability to bridge technical AI concepts with practical business applications, demonstrating measurable value to stakeholders.

Beyond my professional projects, I’m continually expanding my expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) systems, and intelligent agents. From building bots in Python and C during my early days to now creating scalable AI solutions, I am fascinated by the transformative potential of AI in businesses. I stay updated on cutting-edge advancements by actively reading AI articles and exploring innovative projects.

I am now seeking an entry-level Data Scientist role where I can leverage my skills in Python, SQL, AI, machine learning, and data visualization to deliver impactful solutions. Let’s connect to discuss how I can contribute to your team’s success and help drive meaningful change through data science.

I’m a recent Master’s graduate in Data Science from École Polytechnique, driven by a passion for solving real-world problems through advanced AI technologies. My journey into data science began with a deep enthusiasm for mathematics, which led me to Montreal during my gap year to refine my applied math and optimization skills. This formative experience laid the groundwork for my academic and professional growth in AI and machine learning.

At IBM Consulting, I developed a Marketing Strategy Simulator for L'Oréal's clients. Using advanced TimeLLM models, the simulator forecasted ROI in real-time, enabling clients to visualize and refine their marketing strategies with precision. This project highlighted my ability to bridge technical AI concepts with practical business applications, demonstrating measurable value to stakeholders.

Beyond my professional projects, I’m continually expanding my expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) systems, and intelligent agents. From building bots in Python and C during my early days to now creating scalable AI solutions, I am fascinated by the transformative potential of AI in businesses. I stay updated on cutting-edge advancements by actively reading AI articles and exploring innovative projects.

I am now seeking an entry-level Data Scientist role where I can leverage my skills in Python, SQL, AI, machine learning, and data visualization to deliver impactful solutions. Let’s connect to discuss how I can contribute to your team’s success and help drive meaningful change through data science.

..I’m a recent Master’s graduate in Data Science from École Polytechnique, driven by a passion for solving real-world problems through advanced AI technologies. My journey into data science began with a deep enthusiasm for mathematics, which led me to Montreal during my gap year to refine my applied math and optimization skills. This formative experience laid the groundwork for my academic and professional growth in AI and machine learning.

At IBM Consulting, I developed a Marketing Strategy Simulator for L'Oréal's clients. Using advanced TimeLLM models, the simulator forecasted ROI in real-time, enabling clients to visualize and refine their marketing strategies with precision. This project highlighted my ability to bridge technical AI concepts with practical business applications, demonstrating measurable value to stakeholders.

Beyond my professional projects, I’m continually expanding my expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) systems, and intelligent agents. From building bots in Python and C during my early days to now creating scalable AI solutions, I am fascinated by the transformative potential of AI in businesses. I stay updated on cutting-edge advancements by actively reading AI articles and exploring innovative projects.

I am now seeking an entry-level Data Scientist role where I can leverage my skills in Python, SQL, AI, machine learning, and data visualization to deliver impactful solutions. Let’s connect to discuss how I can contribute to your team’s success and help drive meaningful change through data science.