Mattheus.
I live to code and code to live.
About Me
BSc Statistics graduate from UCL who worked as a Data Scientist at Shopee Malaysia. Postgraduate student at Bayes Business School (formerly Cass) specializing in Business Analytics.
Interested in Automation, Data Science, and Blockchain Development within Decentralized Finance.
Most proficient in Python, R, SQL (PostgreSQL, MySQL, BigQuery), JavaScript, and Git.
Here are some Python libraries I've been working with recently:- pandas
- numpy
- matplotlib
- scikit learn
- tensorflow
- pytorch
- nltk
- spacy
- selenium
- beautifulsoup
Experience
- Appointed as Interim Manager of data team to on-board, supervise and coach 2 part-time Data Analysts.
- Developed and deployed Python and SQL scripts to Heroku through GitHub for monthly reports.
- Built data pipelines from Stripe, Calendly, Acuity and Google Calendar APIs to Google Sheets for performance tracking.
- Queried data from PostgreSQL database for ad-hoc reports and data analyses using SQL, Python and Google Sheets.
- Awarded highest rating in final performance review (1 of 100 employees); promoted to Senior Associate within 1.6 years.
- Mentored and guided 3 interns from the Shopee Apprentice Program (3 months).
- Extracted keyword trends (2 to 3 n-grams) from products added to cart using Scikit-learn for Hot Products curation.
- Optimised product negotiation process through Google API; preventing price tagging errors costing c.£15k from recurring.
- Conducted product and voucher countering initiatives by scraping competitor’s data using Python and Google Apps Script.
- Executed special initiatives by Category Managers involving project design, monitoring, project management (managed a team of ~200 employees), data analysis and performance reporting utilising R and Google Sheets.
Education
2021 - 2022
MSc Business Analytics
Bayes Business School (formerly Cass)
- Applied Research Project with Rolls-Royce to optimise existing speech assistive software for MND patients utilising Stanza NLP pipelines and pre-trained dialog models from Facebook (Meta) ParlAI Python framework.
- Ranked #1 in Network Analytics Project on “Regulatory Impact on Ethereum Ecosystem”; selected out of 60 students to contribute to a research paper about “Role of Regulation on Cryptocurrency Markets”.
- Machine Learning, Deep Learning, Data Visualisation, Applied NLP, Data Management Systems (Python, R, SQL).
2015 - 2018
BSc Statistics (Upper Second-Class Honours)
University College London
- First Class Honours dissertation – “Improving the Estimation of the Weight of Drugs Impregnated in Clothing”.
Projects
Customer Segmentation through Machine Learning
Customer segmentation using K-Means clustering on customer dataset in R.
Insurance Claim Fraud Detection
Autoencoder anomaly detection of fraudulent insurance claims using TensorFlow.
Time Series prediction with RNN and CNN
Developed Recurrent and Convolutional Neural Networks in TensorFlow to predict the operating mode of a wind turbine based on 2 time series data from sensors.
Impact of China cryptocurrency ban on Ethereum ecosystem
Analysed Decentralised Application (DApp) and whales' activities through exploring the network of Ethereum transactions before and after the China crypto ban.
Elon Musk's influence on DogeCoin
Identified whether Elon Musk's DogeCoin tweets influences the cryptocurrency's price.
Effect of Covid-19 on UK business foundation
Elucidated the impact of the Covid-19 pandemic on UK firms and sectors through EDA and visualizations.
Machine Learning Shiny App
An interactive web app that predicts the winner of a League of Legends match through Decision Tree and Random Forest models.
What makes TikTok videos popular?
Demystified TikTok's popularity through EDA and visualisations.
Achievements
Mensa high IQ society
Joined Malaysian MENSA Society with 168 score on the Ravens Advanced Progressive Matrices Scale.