Hello World!
I'm Jervis Chan and I love cool technology and great products.
I'm a computer science & business student under Nanyang Technological University's Renaissance Engineering Programme.
More about myself, I love solving math problems and I probably spend too much time on puzzle games. The systematic and logical approach of identifying patterns and finding solutions in these games and problems is incredibly satisfying, and this is also why coding and software engineering appeals to me. I love learning more about these and I'm always open to learning opportunities, projects and internships.
If you don't find me in front of a computer screen, it would mean that I'm probably in the gym, cheerleading, or making myself a nice cup of coffee.
- Data Science
- Machine Learning/AI
- Web Development
- Product Management
- Python
- Java
- SQL
- R
- JavaScript
- HTML/CSS
- Django
- React
- Angular
- Keras
- PyTorch
- FastAI
- Plotly/Dash
- Bash
- Git & GitHub
- Hadoop
- Spark
- Hive
- Airflow
Currently pursuing: Bachelor of Engineering Science in Computer Science, Minor in Mathematics and Master of Science in Technology Management
+ CGPA: 4.85/5.0 (Expected First Class)
- Computational Thinking
- Data Structures
- Algorithms
- Object Oriented Design
- Operating Systems
- Software Engineering
- Databases
- Data Science and AI
- Calculus
- Linear Algebra
- Probability and Statistics
- Data Analysis with R
- Accounting
- Financial Management
- Management
- Marketing
+ Created Data Nexus Operations SOP knowledge base for issue troubleshooting, saving developer man-hours.
+ Handled tickets and issues for Data Nexus and Lumos, proposing improvements of common issues to developers.
+ Created wireframes for improvements in UI for Data Nexus and Lumos.
+ Investigated failing workflows and educated users to improve workflows, saving consumption of resources.
+ Performed user education and migration for SeaMoney Business Intelligence team reports to Data Nexus, automating and improving their workflows, saving man-hours per report.
+ Developed payout, portfolio and portfolio optimization functions in R for Alphien quantitative library.
+ Developed monitor functions and bot scripts to automate report generation and sending of quantitative strategy reports to clients.
+ Designed and wireframed investor portal and portfolio optimization platform with Figma.
+ Developed Python and Perl scripts for data processing, cleaning and visualization of test data, aiding test engineers in inference and testing of new product units.
+ Developed unsupervised machine learning model to identify, cluster and label defect patterns in silicon wafers, aiding yield engineers with yield analysis and inference.
Implemented well-known GANs to study applications in disentangled representation and explainable artificial intelligence as part of NTU Undergraduate Research Experience (URECA).
Built interactive dashboard with Plotly and Dash to visualise COVID-19 statistics in Singapore, illustrating daily changes, and comparisons with other countries.
Developed classification model based on EfficientNet with FastAI for the optical character classification of Bengali grapheme elements.
🏆 Kaggle Silver Medalist 🏆
Developed purely front-end weather monitoring application with Angular, obtaining data with OpenWeatherMap API, that allowed monitoring of multiple city data independently in different panels.
Developed clone websites of a medium-like blog and a social media site in Django, working with custom user models and class-based views.
Built stock monitoring chart to visualise and analyse share price data, implemented using JPMorgan Chase's Perspective software.
Performed exploratory data analysis and predictive analysis on transactions of 100 customers over a period of 3 months.
Developed movie booking application making use of Object-Oriented Design principles.
Proposed the implementation of a sector rotation strategy through the use of a reinforcement learning algorithm (Proximal Policy Optimization) and trained reinforcement learning agents on custom stock trading environment built on OpenAI’s Gym.
Developed a web application that aided in epidemiology analysis in the context of poor data gathering and data analysis of public health data in India.
🏆 Won Top 10 🏆
Developed a solution to regression problem of predicting 5G bandwidth demand.
🏆 Top in Asia & Highest Scoring Team in International Finals 🏆