Samuel Chazy

As a seasoned Data Scientist with a Master of Science in Artificial Intelligence, my expertise spans the development of Data and AI strategies, with a particular focus on Large Language Model (LLM) consultancy. Leveraging extensive experience in Machine Learning, Natural Language Processing, and Generative AI, I excel at harnessing Python-powered algorithms to enhance product and service analytics. My proficiency in creating strategic roadmaps and advising on AI implementation positions me as a pivotal asset in any data-driven initiative.

The core of my work involves leveraging Large Language Models (LLMs) and advanced machine learning algorithms to develop innovative solutions. These projects, ranging from Customer Feedback Interface, Sales Prediction, Customer Lifetime Value Prediction, Customer Churn, Marketing Mixed Media Optimization, Bidding Process Optimization, and Recommender Systems demonstrate the transformative power of data in shaping business futures.

My technical toolkit is diverse, anchored in Python and extending through tools such as Numpy, Scipy, Seaborn, Pandas, Scikit-learn, Tensorflow, Polars, PySpark, SQL, Postgres, Git, GitHub, Tableau & IBM Watson Studio for visualization & Dashboards, Streamlit, PyCharm, and VS code. I as well build models using machine learning algorithms utilizing Supervised & Unsupervised Learning such as Regression Analysis, Decision Trees, Ensemble Algorithms, Random Forest, KMeans, DBSCAN, PCA, XGBoost, and Neural & Deep Networks using Tensorflow. I frequently use Microsoft Azure as a cloud platform to serve models in a production environment. This arsenal enables me to navigate the multifaceted world of large language models, machine learning, predictive analytics, and statistical analysis with ease and creativity.