Namash Aggarwal (陈遇） — Co-Founder

I’m Namash Aggarwal (陈遇) and I’ve always been fascinated by the idea that data can tell stories long before humans notice them. That curiosity is what pushed me into the world of AI and analytics, where I now focus on transforming raw information into clarity, direction, and measurable impact. Over the past few years, I’ve built more than ten end-to-end machine learning and analytics projects. Each one taught me how to take a messy real-world problem and turn it into a structured, predictable, and scalable solution. Whether it’s building a smart data pipeline or developing a model that anticipates user behaviour, I enjoy creating systems that make decisions easier and work smarter for people. What I love doing I design and optimize data workflows that can process thousands of records without delay. I dive deep into datasets to uncover hidden patterns that significantly improve decision making. I apply AI techniques to automate repetitive work, reduce human error, and unlock new opportunities for efficiency. My toolkit Python, SQL, Pandas, NumPy, Scikit-learn, Matplotlib, Streamlit, TensorFlow, Power BI and more. Tools aside, my strength lies in translating data into narratives that make sense to both technical and non-technical teams. My larger goal is to build AI systems that feel intuitive, adaptive, human-centric, and genuinely useful in real workflows and systems that make life easier rather than more complicated. I’m currently open to opportunities in Data Science, AI Engineering, and Data Analytics, where I can continue learning fast, contributing to meaningful innovation, and helping organisations unlock the real value of their data. If you’re working on impactful projects or building something exciting, I’d love to connect and explore how we can create value together.

Stackforce AI infers this person is a Data Science and AI Engineering professional focused on real-world problem-solving.

Location: South Perth, Western Australia, Australia

Experience: 3 yrs 4 mos