About

Thanks for stopping by. Read below to learn more about myself and my background.

Tianmin Zhang at worsk with a colleague

Background

Data Analyst with a robust background in applied social data science and front-end development. Proficient in leveraging statistical analysis, machine learning, and data visualization tools to generate actionable insights. Demonstrated expertise in collecting, analysing, and presenting data to support strategic decision-making in dynamic environments.


I am eligible to work and live in Ireland.

Education

Trinity College Dublin
September 2023-- September 2024
Master in Applied Social Data Science (Expected Grade: 2.1)
Key Modules: Applied Statistical Analysis, Computer Programming, Machine Learning, Quantitative Analysis, Social Science Research Design, Experimental Methods, Social Forecasting, Spatial Data Analysis.

Skills

• Programming / Software: Python, R, JavaScript, HTML, CSS
• Data Analysis / Machine Learning Frameworks: Scikit-learn, NumPy, Pandas, dplyr, tidyr
• Frontend Frameworks: React, Redux, Ant Design Mobile, Vue.js
• Data Visualization: Matplotlib, Seaborn, D3.js, Chart.js, Highcharts, Three.js, ggplot2
• Machine Learning Techniques: KNN, Gradient Boosting, Random Forest, KMeans Clustering, PCA, SVM, CNN, Synthetic Control Method, Multilevel Regression, Post-stratification