Full Stack Data Scientist & AI Innovator in Quantitative Finance
Muhammad Mudassir Khan is a Full Stack Data Scientist with expertise in AI, machine learning, and quantitative finance. He builds end-to-end AI solutions and currently designs high-performing algorithmic trading strategies at Green Canvas in Silicon Valley. He is also an entrepreneur, consultant, and mentor.
Leverage AI to Solve Real-World Financial Challenges
Focus on practical application—turn data into actionable insights to create meaningful impact in finance and technology.
My Background
With 5 years of experience, he has collaborated with startups and global companies to develop AI solutions from data pipelines to advanced financial models. His work in Silicon Valley includes designing algorithmic trading strategies and building scalable AI systems for complex problems.
My Journey
He emphasizes hands-on learning, guiding learners to bridge theory and practice in AI, machine learning, and quantitative finance. His teaching equips students to tackle real-world challenges with confidence and innovation.
"AI is not just about data—it’s about turning insights into actionable impact."
Committed to empowering future data professionals, he inspires learners to apply AI knowledge effectively, build impactful solutions, and advance their careers in the rapidly evolving tech and finance landscape.