𝐓𝐋;𝐃𝐑: Data Scientist in agriculture with a background in entrepreneurship and web/app development, and the author of the bestselling book "𝐼𝑛𝑡𝑒𝑟𝑝𝑟𝑒𝑡𝑎𝑏𝑙𝑒 𝑀𝑎𝑐ℎ𝑖𝑛𝑒 𝐿𝑒𝑎𝑟𝑛𝑖𝑛𝑔 𝑤𝑖𝑡ℎ 𝑃𝑦𝑡ℎ𝑜𝑛." Passionate about ML interpretability, responsible AI, behavioral economics, and causal inference. First and foremost, I'm an approachable person 👋. Feel free to reach out — that is, unless you want me to join your multi-level marketing "opportunity" or get-rich-quick scheme. If that's you, no thanks! 🙅🏻 My journey is not easy to explain, so bear with me. I've been a web designer, web developer, software developer, mobile app developer, web marketing consultant, webmaster, systems analyst, machine learning engineer, data scientist, entrepreneur, 3D modeler/animator, and the proud owner of Bubble tea shop — yep, that's right! What is important to note is that throughout this journey, data was always present, and it was only in the last seven years that I have brought into the foreground of what I do: * 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 & 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻: I wield statistical tools and methods to derive insights from data. As a web designer in a previous life, I'm a visual communicator by nature. I find the best ways to let the data do the storytelling. * 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 & 𝗘𝘃𝗮𝗹𝘂𝗮𝘁𝗶𝗼𝗻: As a former webmaster, I put a lot of care into deployment procedures and monitoring performance. For machine learning models, it is critical to adhere to strict procedures and constantly monitor model performance. * 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝘃𝗲 𝗠𝗼𝗱𝗲𝗹𝗹𝗶𝗻𝗴 & 𝗜𝗻𝘁𝗲𝗿𝗽𝗿𝗲𝘁𝗮𝘁𝗶𝗼𝗻: I am comfortable with numerous machine learning techniques, including but not limited to: regression, classification, clustering, and dimensionality reduction problems; as well as model interpretation and causal inference. * 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁, 𝗪𝗿𝗶𝘁𝗶𝗻𝗴 & 𝗦𝗽𝗲𝗮𝗸𝗶𝗻𝗴: I have managed projects and teams since 2006. This includes defining scopes, executing plans, technical writing, troubleshooting endlessly, mentoring, and engaging with stakeholders. It also includes speaking in board rooms and, more recently, speaking at conferences. I wrote a book called "𝑰𝒏𝒕𝒆𝒓𝒑𝒓𝒆𝒕𝒂𝒃𝒍𝒆 𝑴𝒂𝒄𝒉𝒊𝒏𝒆 𝑳𝒆𝒂𝒓𝒏𝒊𝒏𝒈 𝒘𝒊𝒕𝒉 𝑷𝒚𝒕𝒉𝒐𝒏" (https://interpretableml.ai) Another vital thread throughout my career has been an interest in decision-making, which is why I'm obsessed with Interpretable Machine Learning, Explainable AI, Behavioral Economics, Causal Inference, and Responsible / Ethical AI at large.