Python

My proficiency in Python, particularly in utilizing advanced libraries like TensorFlow, GeoPandas, LSTM, and Keras, has been a cornerstone of my work at Ohmyhome. These skills have enabled me to dive deep into machine learning models, spatial data analysis, and predictive analytics, enhancing my ability to deliver innovative solutions. From building complex neural networks with TensorFlow and Keras to analyzing geographical information with GeoPandas, my Python expertise has played a pivotal role in leveraging data for strategic insights and operational improvements, showcasing my ability to apply cutting-edge technology in practical, impactful ways.

SUSS Final Project

SUSS ANL588 Final Project Submission. LSTM, Tensorflow, Keras used to build prediction model, utilising new, never used before geospatial metrics. Over 70 Geospatial metrics were used to fit the models

2023 SORA Interest Rates Compared to HDB Resale Prices

In this project, I've analyzed the interplay between interest rates and HDB resale prices in Singapore. Utilizing SQL queries, I extracted relevant data from databases, focusing on high-value transactions in 2023. Leveraging Python and geopandas, I processed and visualized this data on a map, revealing spatial trends in median resale prices and their fluctuations between 2022 and 2023. By integrating financial data with geographical insights, this project provides valuable insights into the dynamics of Singapore's real estate market, aiding in informed decision-making and deeper understanding of economic influences on property values.

Auto Updating HDB Report using OpenAI API

This project analyzes Singaporean HDB resale data, integrating geographic and classification information. Leveraging OpenAI's natural language generation, it provides insights into monthly median prices and town-to-town comparisons, aiding informed decision-making in the real estate market.

Condo Prices Around MRT Stations

The MRT project analyzes property prices near Singaporean MRT stations. SQL queries retrieve transaction data, while Python scripts preprocess and visualize it. The analysis identifies trends in prices based on MRT lines and tenure types, offering insights for investors and homebuyers.

Primary School Proximity Checker

The project utilizes the OneMap API to fetch geographic data, calculates distances between schools and a specified point, then visualizes the data with color-coded markers, enhancing spatial understanding on a website.

Send Data, square icon, blue background.

Sending Excel data to MySQL server using Pandas

Part of the SUSS ANL503 Final Project

Some Personal Statistics

Years total Data Analytics Experience

12+

Technical Tools / Language Proficiency

200+

Dashboards Created

150K+

Lines of code written so far