Our Journey Through Data Science
From a small research project to Malaysia's leading platform for financial sentiment analysis education
The Foundation Years
What started as a weekend project between two data scientists quickly evolved into something bigger. Working out of a cramped apartment in Jelutong, we spent countless nights analyzing market patterns and building our first sentiment analysis algorithms.
- Developed initial sentiment analysis framework using Python and natural language processing
- Secured partnerships with three local financial institutions for data testing
- Published research paper on Malaysian market sentiment patterns
- Established our first office space on Jalan Hargreaves
Expanding Horizons
The pandemic changed everything about how people approached financial markets. We saw an unprecedented demand for data-driven insights and decided to pivot toward education. Our machine learning models were performing well, but we realized the real value was in teaching others how to build and understand these systems.
- Launched comprehensive machine learning curriculum focused on financial applications
- Developed proprietary educational platform combining theory with real market data
- Trained over 800 students in advanced sentiment analysis techniques
- Expanded team to include specialists in both finance and education technology
Innovation & Growth
Today, we've become more than just an educational platform. We're building the next generation of financial analysts who understand both traditional market principles and cutting-edge machine learning techniques. Our students don't just learn algorithms—they develop critical thinking skills for interpreting market sentiment in an increasingly complex digital economy.
- Advanced neural network architectures for real-time sentiment processing
- Comprehensive 18-month certification programs launching September 2025
- Research collaboration with Universiti Sains Malaysia on market prediction models
- Plans for regional expansion across Southeast Asia by late 2025