Hello, I'm
Isaac Chin.

I’m a sophomore in the National University of Singapore pursuing a major in Data Science & Analytics.

With experience in Data manipulation and Analytics, I am looking for a 6-month technical internship in Paris from 19th August 2024 to 10th January 2025!

Skills

Python

Java

Bloomberg Terminal

Microsoft Excel

Adobe Premiere Pro

Projects

NUS Datathon 2024: Singlife

The project aimed to enhance the customer experience in the insurance acquisition process by analyzing Singlife's dataset. The team cleaned the dataset and used a decision tree to predict customer churn.

NUS Fintech Month Hackathon 2023

The project aimed to reduce customer churn in a telco service by creating a logistic regression model. More information can be found in the Devpost submission and project documentation linked below.

NUS Fintech Month Hackathon 2023

The project aimed to reduce customer churn in a telco service by creating a logistic regression model. More information can be found in the Devpost submission and project documentation linked below.

SOZO Customer Interest Survey

Generated a survey that gathered what latest shows and artists customers of the company were interested in.

Work Experience

Data Analyst Intern @ MAS

https://drive.google.com/file/d/1JbQpy6JCrBY_yLTOY2Wx5G4Wsyy6nV2a/view?usp=drive_link

Experiences

Examined fund data to develop prediction models using linear regression, feature selection, and train-test splitting techniques. Feature engineering for variables such as Information ratio, Sortino ratio, market capture, and batting average for enhanced accuracy.
Explored time series analysis methods such as ARIMA and SARIMAX to analyse past values and identify potential patterns.
Applied visualization techniques to analyse factor correlations and behaviors of mandates over time, utilizing MSCI factors and beta analysis.

Analyst Intern @ Fuchs Capital Partners

https://drive.google.com/file/d/1UmNmKPNujJ_A6l-dThmIwHyiEzNNeVFs/view?usp=drive_link

Experiences

Carried out data manipulation, time series analysis and projects that require reading multiple spreadsheets in Python.
Built analytical projects with common Python packages such as pandas, NumPy, SciPy, plotly and bql.
Completed training and used Bloomberg Terminal and BQuant daily.
Worked with analysts on different projects in new areas for the firm, such as: process driven quantitative analysis of fundamental data and data visualisation of stock sector/subsector historic performance.