Welcome to my technical portfolio!
Please find my past projects below.
Past Projects
Inventory Planning Management (Ongoing)
Developed an analytics dashboard to aid Tai Sin Electric Ltd. in automating their inventory planning using an algorithm.
Apr 24, 2024
Python
PowerBI
SQL
Excel
pandas
Strengthening Urban Resilience in the age of Fragmentation (SURF)
Developed a program to extract and analyze traffic data from online GPS web apps using API web-scrapping. Developed an ML model to generate data for a traffic simulation.
Jan 10, 2024
Python
R
Computer Vision
Machine Learning
geopandas
selenium
openpyxl
transbigdata
osmnx
cv2
scipy
matplotlib
seaborn
Food Security in Southeast Asia
A Machine Learning model to inform policymakers what environmental, economic, and political factors contribute the most towards building food security in Southeast Asian countries.
Dec 6, 2023
Python
Machine Learning
pandas
matplotlib
scikit-learn
seaborn
FITFLORA
FITFLORA is a novel solution for the sedentary lifestyle in Changi Business Park, integrating circuit training with a dynamic light display on a tree-shaped structure to engage users and promote social interaction among office workers.
Apr 10, 2023
Software Development
C++
Arduino
Comparison of Alternative Vehicle Power Type Ratios on Greenhouse Gas Emissions Using 3-Dimensional Linear Programming
A mathematical model to optimize the combination of vehicle power types needed to minimize annual carbon emissions.
Feb 28, 2023
Python
Optimization
pandas
scipy
BrainBuddy
Trivia game as part of 10.018 Computational Thinking for Design.
Dec 10, 2022
Python
Democratizing Optimization
A web app to enable SMEs (Small & Medium Enterprises) to optimize their inventory using a user-friendly linear programming calculator.
Oct 6, 2021
Python
HTML
JavaScript
pandas
Optimization
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About Me
I'm Nathan, a dedicated data scientist specializing in data analytics, machine learning, and statistical modelling. Proficient in Python and R, I focus on crafting efficient algorithms to unlock insights and maximize the value of complex data. As a perpetual learner, I'm particularly intrigued by urban data analytics, natural language processing (NLP), and systems engineering (industrial optimization).
Having managed close to 20 academic projects and 15 club initiatives throughout university, I wish to become an impactful project manager one day. I believe that effective leadership brings many benefits to those around me, so Iāve always loved managing projects and taking leadership roles since a young age!
Currently, I'm actively engaged in projects at the Lee Kuan Yew Centre for Innovative Cities (LKYCIC) and Tai Sin Electric Ltd, where I contribute to urban planning and inventory management projects.
I'm eagerly seeking internship/research assistantship opportunities in Singapore (Fall 2024) and Europe (Spring 2025). Let's connect and explore opportunities for collaboration!
Skills
- Programming Languages: Python, R, SQL, C++, Tableau, Power BI
- Frameworks & Technologies: pandas, scikit-learn, matplotlib, seaborn, numpy, selenium, cv2, geopandas, openpyxl, transbigdata, osmnx
- Data Science & Machine Learning: Data science pipeline (cleansing, wrangling, visualization, modelling, interpretation), Statistics, Time series, Regression (linear, logistic, gaussian process), Clustering, Kernel density estimation
- Languages: Fluent in English and Indonesian
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