With over 15 years of experience in data science and applied machine learning, I am an expert data scientist at Schneider Electric, a global leader in energy management and automation. My mission is to leverage advanced AI and ML techniques, such as natural language processing, image recognition, and deep learning, to create innovative solutions that improve efficiency, quality, and customer satisfaction across various business domains. I have a proven track record of delivering high-impact projects that address complex business problems and generate actionable insights and recommendations. Some of my recent achievements include developing chatbots for employee support, optimizing quotation processes, automating legal document analysis, and enhancing image searchability on the company's website. I also have extensive experience in data analysis, visualization, feature engineering, model validation, deployment, and monitoring, using various tools and technologies, such as Python, Spark, R, Hive, Hadoop, OCR, PyTorch, Azure, and AWS. Additionally, I have a strong background in Retail, CPG, Supply Chain and Marketing domains, with an MBA from the University of Surrey and a MS in Data Science and AI from Data ScienceTech Institute.