Aspiring Data Scientist

Hello! Welcome to my portfolio site. A little bit about me, I am a final-year Computer Science (Big Data) student passionate about AI & Machine Learning. I am analytical and results-oriented, with hands-on experience in data analysis and machine learning through a series of diverse projects I developed and worked with as well as from my internship at a FinTech company.

Education

• BSc Comp Sci (Big Data)

  SIM-UOW

  Jan 2022 - Present

Technical Skills:

Python (Pandas, NumPy, Scikit-learn, TensorFlow, BeautifulSoup), R, SQL, Machine Learning, Time Series Modelling (skforecast), Gen AI (LLMs), RAG Systems, Data Analysis, Data Visualization (Matplotlib, Seaborn, R Shiny), Web Scraping, Linux, GitHub

Work Experience

Data Scientist @ MoneyMatch Sdn Bhd (Feb 2024 - Aug 2024)

• In a team of 4, developed a prototype Compliance Case Management System (CCMS) Dashboard using R Shiny that adheres to compliance requirements for Singapore branch.
• Using R, programmed new functions for business operations such as accounting journals, weekly sales reporting and remunerations into existing automation scripts, improving operational efficacy.
• Analyzed existing customer database, identifying key customer profiles which resulting in better targeted cold calling leads.
• Build and deployed web scrapers with BeautifulSoup in Python that extracted business leads based on key business profiles, improving leads conversion for sales team.
• Researched and documented Zendesk Support, providing recommendations to the team lead on best practices and API integration with Trello to improve communications team workflow and efficacy

Projects

Customer Service Chatbot Integrated with Zendesk | Repo

• Travel Customer Service Agent that effectively addresses the diverse needs of travelers by being able to act as multiple roles of customer support (Trip Planner, Travel Agent, Customer Service, Booking Specialist)
• Technologies: Agent Development Kit (ADK), Pinecone Database, Azure MySQL Database, Zendesk Sunshine

Freelance C2C Cleaner Managementment System | Repo

• Developed a system for C2C Freelance Home Cleaners Service that acts as a platform to connect freelance home cleaners with homeowners.
• The service will support various key features and functionalities such as management of different users, categories, cleaner services, shortlists and reporting.

Resale HDB Flat Prices Prediction | Repo

• Spearheaded a 6-person team to develop and evaluate predictive machine learning models (XGBoost, MLP Regressor, RandomForest) for Singapore HDB flat prices, utilizing skforecast for time series analysis and achieving RMSE 57300 and MAE 42400 with the best-performing XGBoost model.

British Airways Data Science Job Simulation on Forage | Repo

• Completed a simulation focusing on how data science is a critical component of British Airways success
• Scraped and analysed customer review data to uncover findings
• Built a predictive model to understand factors that influence buying behaviour

CDC Diabetes Health Indicators Group Project | Repo

• Collaborated in a 6-person team to develop and evaluate classification models (MLP Classifier, RandomForest, XGBoost) predicting diabetes risk from behavioral factors, employed TomekLinks for dataset balancing and achieved a 28% recall and 55% precision with best-performing XGBoost model.

Currency Rates API Scraping | Repo

• A webscraper that scrapes Malaysia Remittance Companies (Wise, Instaremit, MoneyMatch, SunwayMoney) via APIs and stores them in a comma-separated-value (.csv) file.

Weather Forecast Email | Repo

• Utilizes the WeatherAPI to retrieve weather information using a local latitude & longtitude csv file and sends via email.