Noah Duncan@nduncan

I invested my last 20+ years in creating technology for the enterprises worldwide, worked with 8 great Teams in US, and Japan, specially built 5 Enterprise Data Platforms including one open-source at H2O.ai and also launched 2 startups where 1 Folded and other had IP Exit. As part time angel investor I invested into 22 start-ups (BioTech, Space Science, Healthcare, AI) and also setup a small angel fund. I love playing tennis and keep myself happy as banana. Here is the snapshot of my technology, business, and product leadership expertise: - Experienced in building engineering teams from the ground up, with a successful track record at H2O.ai, Roambee, Hulft, Macnica, and Microsoft, including Big Data Perspective - Skilled in full-stack development utilizing Python, Go, Java, and React (JS), with a strong understanding of build/CI & CD tools. - Self-taught Multimodal and Generative AI, actively sharing content at my GitHub & YouTube - Demonstrated the ability to lead the creation of global business and product strategies while working closely with cross-functional teams, created inclusive work culture for diverse teams - Designed and developed cloud-agnostic SaaS data analytics platforms for web-scale applications, incorporating ML, AI, and advanced data engineering functions. - Self-motivated and detail-oriented, established new business with F-500 customers in US and Japan, achieving up to USD 2M in ARR Banking, Insurance, Credit Monitoring, & Healthcare.

I am a seasoned professional with a versatile skill set spanning automation, artificial intelligence, and data science. My expertise extends to in-depth knowledge of machine learning algorithms, applied in projects such as sales prediction, recommendation systems, and forecasting customer buying behavior. I excel in exploratory data analysis, adeptly handling missing values, data cleaning, preprocessing techniques, feature engineering, and feature selection to derive meaningful insights from data. Furthermore, I have developed Python-based chatbots for various applications and possess skills in web scraping to extract valuable insights about companies. In essence, my diverse project portfolio reflects a robust foundation in both the technical and business-oriented aspects of AI and data science.