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weihan07/README.md

👋 About Me

I am a dedicated Data Analyst student with a strong foundation in Applied Science, currently honing my skills through hands-on projects and an internship as a Junior GIS Analyst. My passion for data analysis drives me to continuously explore new techniques and methodologies to extract meaningful insights from complex datasets.

🔧 Skills & Tools

Programming Language Proficiency
Python ⭐⭐⭐⭐⭐
R ⭐⭐⭐⭐
SQL ⭐⭐⭐
C ⭐⭐
  • Data Analysis: Data cleaning, preprocessing, modelling, and visualization
  • Machine Learning: AI-based models, deep learning techniques
  • GIS Analysis: Spatial data analysis and visualization

📊 Projects

  • Computer Vision and AI-Based Ripeness Classification of Oil Palm Fruits: Developed a model using Python and AI techniques, achieving a 98% accuracy rate in classifying the ripeness of oil palm fruits.
  • Sales Data Analysis: Analyzed and visualized sales data using SQL and R, identifying key trends and insights to drive business decisions.
  • Customer Segmentation: Implemented clustering techniques in Python to segment customers based on purchasing behaviour, enabling targeted marketing strategies.

📚 Learning & Growth

I'm continuously expanding my data science and analytics knowledge through coursework, personal projects, and industry experience. I aim to become a proficient data scientist capable of solving real-world problems using data-driven approaches.

Feel free to explore my repositories to see some of the work I've been involved in!

Pinned Loading

  1. Water-Level-Prediction-and-Flood-Alert-based-on-Historical-Data Water-Level-Prediction-and-Flood-Alert-based-on-Historical-Data Public

    Aim to predict whether a flood is likely to occur, which helps to lessen the potential damage caused by floods.

  2. Ripeness-Classification-of-Oil-Palm-Fruits-Bunch Ripeness-Classification-of-Oil-Palm-Fruits-Bunch Public

    This project aimed to classify the ripeness stages of oil palm fruit bunch. It trains the model using the Google Teachable Machine (GTM) platform.

    Jupyter Notebook 2

  3. ASEAN-Foodpanda-Restaurant-Dashboard ASEAN-Foodpanda-Restaurant-Dashboard Public

    This project aims to analyze the dashboard for Foodpanda Restaurants in ASEAN countries. This dashboard contains a few parts including home, customer preferences, ASEAN tastes, delivery insights an…

    R

  4. Customer-s-Shopping-Preferences-Segmenting-Customers-using-Clustering-and-Predicting-Promotion-Cod Customer-s-Shopping-Preferences-Segmenting-Customers-using-Clustering-and-Predicting-Promotion-Cod Public

    This research aims to understand customer behavior by analyzing the "Customer Shopping Preferences Dataset" using clustering techniques and a decision tree algorithm for predictive modeling, predic…

  5. AbrahamLimBingSern/Lipstick-Recommendation-System AbrahamLimBingSern/Lipstick-Recommendation-System Public

    My Artificial intelligence Group Project - Lipstick Recommendation System

    Python 2 4

  6. Data-Analysis-with-Python-Projects Data-Analysis-with-Python-Projects Public

    There are many ways to analyze data with Python.

    Jupyter Notebook 1