- Thank you for visiting my Github portfolio! I am interested in the field of data science, data analytics and machine learning.
- I am currently a data scientist!
- I will be constantly updating my portfolio with projects that I have done on this learning journey. Open to any feedback and improvements! 😄
| Project Name | Repo |
|---|---|
| [Python, SQL] Detecting Brands Committing Ratings Fraud on Amazon with Network Analytics | 🔗 |
| [Python] Improving Starbucks Offer Targeting by Predicting Offer Success | 🔗 |
| [Python] Train Travel Demand Prediction | 🔗 |
| [Python] Multi-armed Bandits to Learn Best Website Layout | 🔗 |
| [SQL] Web App to Visualize Maritime Energy Efficiency Statistics | 🔗 |
I am familiar with the following packages through various hands-on projects.
- Python:
- Data Preprocessing: pandas, numpy
- Data Visualisation: matplotlib, seaborn
- Causal Inference: statsmodels, linearmodels
- Machine Learning: sklearn, xgboost, lightgbm
- Deep Learning: keras/tensorflow, pytorch
- NLP: nltk, texthero, fuzzywuzzy, BERT
- Big Data: pyspark
- R:
- Data Preprocessing: dplyr, tidyr
- Data Visualisation: ggplot2
- Graph: igraph
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent