A computer science undergraduate striving to learn more about Software Engineering and Data Analytics.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Risk-analysis-of-mutual-funds
April 1, 2021 – April 2, 2021
Create a ML model that can accurately predict the risk level (alpha, beta, sharpe ratio etc.) of a mutual fund based on its portfolio spread in terms of investment products (cash, bonds etc.)
View Projectmasked-gender-classifier
November 23, 2020 – November 23, 2020
Codes + Report for: Jason Lee (U1727712L) Lim Xuan Yu (U1721729J) Ng Kai Chin (U1721647D)
View ProjectStreamlit-Visualisation-for-European-Soccer-Dataset
November 15, 2020 – November 15, 2020
Streamlit-Visualisation-for-European-Soccer-Dataset — GitHub repository
View ProjectSoccer-Player-Attributes-Comparison
October 7, 2020 – November 22, 2020
Process of cleaning categorial and numerical data in the European Soccer Dataset (https://www.kaggle.com/hugomathien/soccer?)
View ProjectSpeed-Prediction-for-Cars-Dashcam-video-
April 3, 2020 – April 3, 2020
A project to develop a ML model to predict the speed of cars, using video footage from the dashcam. This is done as part of a programming challenge for Comma.ai.
View ProjectProduct-Classification-for-Online-Shop
October 20, 2019 – October 21, 2019
Machine-learning models to identify the tag(eg. dress, eyeliner, book etc.) of any item, given a picture and short text description of it.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal learning and exploration in data science and machine learning. The diversity of projects, from game development to financial risk analysis, suggests a broad interest in applying technical skills. However, the lack of team-based or professional projects makes it difficult to assess cultural fit in a collaborative work environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, limiting insight into collaboration or problem-solving approaches.