- I am Adison Goh, an aspiring data scientist / AI-ML practitioner & MSc in Business Analytics student at the National University of Singapore (NUS).
- With a deep curiosity for integrating cutting-edge technology and real-world solutions, I've embarked on various ML/AI projects throughout my learning journey, which are outlined below.
- Projects primarily involving Python notebooks were also uploaded onto my Kaggle profile.
- Computer Vision
- Natural Language Processing (NLP)
- Tabular Data (Classical ML & Explainable AI)
- Generative AI
- Big Data Analytics
- Data Warehousing
- Causal Analysis
- Healthcare Web Database
| Title | Date | Link | Models |
|---|---|---|---|
| Classification of MRI Brain Scans for Diagnosis of Alzheimer's Disease | 2024-04 | Github (full); Kaggle (short) | Densenet121, Inception-v3 (transfer learning & fine-tuning) |
| Binary Classification of Melanoma with Transfer Learning of Densenet121 | 2024-04 | Kaggle | Densenet121 (transfer learning) |
| Image Segmentation with Convolutional Neural Networks (SegNet) | 2024-01 | Kaggle | SegNet |
| Title | Date | Link | Models |
|---|---|---|---|
| Newsgroup Document Classification with DistilBERT | 2024-03 | Kaggle | DistilBERT (transfer learning) |
| Service Ticket Classification with Recurrent Neural Networks | 2023-03 | Kaggle | RNN, LSTM, GRU |
| Title | Date | Link | Models |
|---|---|---|---|
| Predicting Obesity Risk Factors with ML & Explainable AI (XAI) | 2024-04 | Kaggle | ML: Logistic Regression, Random Forest, XGBoost XAI: Permutation Feature Importance (PFI), SHapley Additive exPlanations (SHAP), Partial Dependence Plot (PDP), Local Interpretable Model-agnostic Explanations (LIME), Diverse Counterfactual Explanations (DiCE) |
| Classification of Patients with Diabetes based on CDC Diabetes Health Indicators | 2023-11 | Kaggle | Logistic Regression, Support Vector Machines, Random Forest, XGBoost, Voting Classifier, Feedforward Neural Network |
| Predicting Sepsis Survivability in Hospitalised Patients | 2023-02 | Kaggle | Feedforward Neural Networks |
| Predicting the Success of Spotify Songs | 2023-01 | Kaggle | Logistic Regression, Naïve Bayes, k-NN, Decision Trees, SVM, Random Forest, AdaBoost, GradientBoost, Stacking |
| Title | Date | Link | Models |
|---|---|---|---|
| GPTTransit Chatbot for Public Transport (1st Runner up in the NUS-NCS Innovation Challenge 2024) | 2024-04 | Github; YouTube Demo | LLMs: GPT-4 (OpenAI API), Mixtral-8x7B (HuggingFace API) Frameworks: LangChain, Gradio, Python |
| Title | Date | Link | Tech |
|---|---|---|---|
| Skills-based Linkedin Job Recommender System | 2024-04 | Github (Full); Kaggle (Recommender only) | Python, Spark, SparkSQL, TF-IDF, Cosine similarity, Power BI |
| Finding Similar News Articles & Sentences | 2024-02 | Kaggle | Python, Spark, TF-IDF, Cosine similarity |
| Title | Date | Link | Tech |
|---|---|---|---|
| StarAIS: Data Warehousing & Analysis of Maritime AIS Data | 2023-11 | Github | PostgreSQL, Python, Power BI, Flask, HTML, CSS |
| Title | Date | Link | Tech |
|---|---|---|---|
| Impact of Prime Location Housing (PLH) Policy on HDB Resale Prices | 2024-04 | Google Slides | Difference-in-differences (DiD), R |
| Title | Date | Link | Tech |
|---|---|---|---|
| Probiotics Reference Guide - Clinical Evidence for Probiotics | Since 2020 | Website | MySQL, PHP, HTML, CSS, JavaScript |