Yilin Han
Clayton,VIC
Overview
1
1
year of professional experience
Work History
Data Analyst Intern
iX Syrinx
Croydon, VIC
07.2024 - 11.2025
- Designed and implemented an Excel-based predictive tool to forecast material requirements from batch production data, improving operational planning accuracy.
- Digitized and structured legacy physical datasets to streamline workflows for reporting and quality control.
- Delivered interactive dashboards and visual reports to senior stakeholders, aiding strategic decision-making.
- Worked cross-functionally with analysts, engineers, and supply chain teams to improve efficiency and data accuracy.
Data Analyst Intern
EY
Shanghai, Shanghai
03.2025 - 06.2025
- Analyzed data trends using Excel and Power BI for business insights.
- Conducted time series forecasting on Tesla’s quarterly revenue growth using ARMA, ARIMA, and SARIMA models, evaluating performance.
- Compared model accuracy and interpreted statistical outputs (e.g. seasonality, autocorrelation, residual diagnostics) to guide model selection.
- Applied multivariate linear regression and machine learning models (Random Forest, XGBoost, LSTM) to assess predictive power of business segments, achieving the best performance with LSTM.
- Utilized Python (Pandas, Statsmodels, Scikit-learn, Keras) and Matplotlib for analysis and visualization.
- Presented findings through comprehensive reports and visual dashboards, summarizing modelling choices and performance trade-offs.
Education
Bachelor of Science - Applied Data Science
Monash University
Clayton, VIC07-2025
Skills
- Programming Languages: Python, R&SQL
- Tools: Excel, PowerBI, Tableau, Alteryx, MS Office, Xero, GitHub&LATEX
- Core Skills: Machine Learning, Time Series Forecasting, Generative AI, Data Visualization
- Languages: English, Chinese
Project Experience
1. Predictions of mortality in ICU patients
· Performed EDA and feature selection to identify factors affecting patient survival.
· Applied logistic regression and tree-based models to predict mortality risk.
2. Rossman drug stores forecasting sales
· Collected and cleaned sales data across 1,115 stores
· Built predictive models (XGBoost, LightGBM etc.) to forecast daily sales, achieving high model accuracy.
3. Predicting student performance in virtual internships
· Engineered team-level features and analysed chat data with NLP(TF-IDF)
· Developed predictive models for student performance evaluation
4. Social media analysis for World-level Events: World Cup 2022
· Gathered and analysed social media data from Twitter, Facebook, Instagram
· Performed sentiment analysis and topic modelling (LDA) to extract key engagement trends.
5. Tesla revenue growth forecast
· Applied ARIMA, SARIMA, Random Forest, and XGBoost etc. on historical data.
· Conducted hyperparameter tuning (GridSearchCV) and multivariate regression modelling to forecast quarterly revenue.
Interests
Tennis | Dance (Hip-hop, Jazz, K-pop) | Playing Guzheng(Chinese traditional instrument) | Badminton
References
References available upon request.
Timeline
Data Analyst Intern
EY
03.2025 - 06.2025
Data Analyst Intern
iX Syrinx
07.2024 - 11.2025
Bachelor of Science - Applied Data Science
Monash University
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