AI Vibe Coding for Python Financial Analysis

Solomon Soh is a data scientist and AI trainer with a Master's in Financial Engineering, an MBA and a double degree in Economics and Psychology from Singapore Management University, awarded Summa Cum Laude with a triple major in Analytics. He has a strong record of teaching and mentoring in Python programming, data analytics and machine learning, including his work as a Data Science Trainer with IBM Singapore, where he earned a 96% learner satisfaction rating. His career also spans Workforce Optimizer, Certis Cisco, Ernst & Young and IQVIA, where he used Python-driven analytics to improve operations and deliver actionable insights.

AI Vibe Coding for Python Financial Analysis is a natural fit for his financial engineering and Python background. Learners use AI coding assistants such as Cursor, GitHub Copilot and Claude to get started with vibe coding for financial analysis, analyse financial data with AI, carry out portfolio and investment analysis, and build financial dashboards and reports. Solomon helps learners describe each analysis clearly in plain English, check the numbers the generated code produces, and present results that decision-makers can act on. Participants leave able to analyse financial data in Python far more quickly, without needing to write every line of code themselves.

Quah Chee Yong is an ACLP-certified trainer and data science professional with extensive experience in Python, natural language processing (NLP) and machine learning. He has led AI training programmes for SAP, Temasek Polytechnic and IMDA under the SGUnited Mid-Career Pathways initiative, and has delivered corporate workshops on text analytics, recommender systems and chatbot development. A firm believer that AI can create a better world, he has equipped himself with knowledge and skills in data science, machine learning, deep learning and cloud deployment. He has also held technical, operations and commercial positions across several industries, and is a Singapore WSQ-certified Adult Educator who enjoys interactive engagement with learners.

In AI Vibe Coding for Python Financial Analysis, he brings his Python and data science background to finance professionals, analysts, investors and accountants who want results without becoming expert programmers. He shows learners how to set up their tools, describe an analysis in plain English, and then review, test and steer the pandas code an AI coding assistant produces. Through the course topics, participants analyse financial data, carry out portfolio and investment analysis, and build financial dashboards and reports, while learning to check AI-generated output critically. They leave able to turn their own financial questions into working Python analyses.

Ken Yuen is an ACTA-certified adult educator specialising in STEM education, IoT systems and programming, with Python among the languages he teaches. He has conducted WSQ and SkillsFuture courses in Python, Arduino, Raspberry Pi, micro:bit and Jetson Nano, and his career includes roles as an Application Development Engineer, Technical Consultant and Project Manager. He holds a Bachelor of Electrical and Electronics Engineering from Nanyang Technological University and a Diploma in Electronic Engineering from Singapore Polytechnic, and is a certified Project Management Professional (PMP). He is also an MOE-registered instructor who has taught coding programmes in over 50 schools.

In AI Vibe Coding for Python Financial Analysis, Ken draws on his Python teaching and application development background rather than a finance career. He helps learners get started with AI coding assistants such as Cursor, GitHub Copilot and Claude, describing an analysis in plain English and then reading, testing and steering the Python code the assistant produces. Working through financial data analysis, portfolio and investment analysis, and dashboards and reports, participants learn to check the logic behind every result. His hands-on teaching style means learners build working analyses step by step and leave confident in reviewing AI-generated code before relying on it.

Truman Ng is an ACTA-certified trainer whose engineering background combines artificial intelligence, data and enterprise systems. He graduated from NUS in 2002 with a Bachelor's degree in Electrical Engineering, designing an AI controller for a DC-DC power converter using fuzzy logic and neural networks as his final year project. His more than 15 years of project experience span database and web design, data centre design and enterprise network implementation, including work as a network architect for Hewlett Packard. He founded Nexplore (S) Pte Ltd, which delivers cloud and internet security solutions, and is certified in PMP, Cisco CCNP and Huawei HCIE R&S.

In AI Vibe Coding for Python Financial Analysis, Truman helps finance professionals, analysts and accountants put AI coding assistants such as Cursor, GitHub Copilot and Claude to work on financial data. Rather than teaching every line of Python, he shows learners how to describe an analysis in plain English, check what the assistant generates and steer it until the numbers are right. Participants analyse financial datasets, carry out portfolio and investment analysis, and build dashboards and reports. His structured, project-minded approach keeps the focus on reviewing and validating AI output, so that the results learners produce can be trusted.