Welcome to my data science portfolio! I'm Jeffery Tam, a Data Engineer based in Welwyn Garden City, Herts, with a strong passion for turning data into actionable insights. This portfolio showcases my projects, skills, and approach to solving real-world problems using data.
- 🎓 Background in Data Engineering and Data Science
- 🛠 Skilled in Python, SQL, Pandas, Scikit-learn, and data visualization tools
- 📊 Experienced in building predictive models, data pipelines, and analytical dashboards
- 🌍 Interested in forecasting, time series analysis, and ethical AI
https://github.com/eroica0516/Example-Regression-Model-for-Price-Prediction
Objective:
Forecast average yearly prices of fruits and vegetables in the UK using historical data (2017–2022) to support cost control in catering operations.
Tools Used:
Python, Pandas, Scikit-learn, Matplotlib, Seaborn, kagglehub
Highlights:
- Imported dataset directly from Kaggle using automated scripts
- Performed data cleaning, feature engineering, and imputation
- Built and evaluated a linear regression model (R² = 0.933, MSE = 0.355)
- Visualized trends and predictions using multi-line and regression plots
- Discussed limitations and proposed future improvements using time series models
- Compared performance with ARIMA and LSTM models
- Built a Python package to automate common data cleaning tasks
- Includes missing value handling, outlier detection, and type conversion
- Created a dashboard using Plotly Dash / PowerBI to visualize sales trends
- Integrated SQL backend for dynamic querying
- Python, SQL, R
- Pandas, NumPy, Scikit-learn, Statsmodels
- Matplotlib, Seaborn, Plotly, Dash, PowerBI
- Regression, Classification, Clustering
- Time Series Analysis (ARIMA, Prophet)
- ETL pipelines, Data wrangling, API integration
- Version control with Git & GitHub
- 📜 M5 Data Science Professional Practice – Predictive Modeling
- 📜 Google Data Analytics Certificate
Feel free to connect or collaborate!
- 📧 Email: XXXXX@XXXX.com
- 💼 LinkedIn:
- 🐙 GitHub: