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peterandu365/README.md

Peter Xu

πŸ“: Vancouver, BC, Canada
Gmail
GitHub


πŸš€ Data Scientist

Passionate and detail-oriented data scientist with a strong foundation in mathematics, numerical simulations, programming, and optimization algorithms from engineering mechanics studies. Experienced in data science through Lighthouse Labs Data Bootcamp, earning a diploma in Data Science. Proficient in programming languages and tools used in data analysis and machine learning. An open-minded problem solver who excels in both individual and team settings.


πŸŽ–οΈ Highlights of Qualifications & Technical Skills

Python Postgres MicrosoftSQLServer MongoDB Visual Studio Code Jupyter Notebook Matplotlib NumPy Pandas scikit-learn SciPy TensorFlow Keras ggplot Tableau Spark HTML5 CSS3 Bootstrap Flask FastAPI AWS Git

  • Strong mathematical and optimization algorithm background from Engineering Mechanics studies
  • Projects involving optimization and numerical simulation: Velocity Field Analysis, Thermal/Structural Coupling Topology Optimization, and more
  • Proficient in Python, SQL, and more
  • Familiar with Data Science Libraries such as Scikit-Learn, TensorFlow, Keras
  • Expertise in Data Visualization tools like Matplotlib, ggplot, Tableau
  • Experience with Big Data Technologies like Spark
  • Knowledge of ML Techniques: Supervised and Unsupervised Learning, Deep Learning, NLP
  • Web Development tools: HTML, CSS, Bootstrap, Flask
  • Deployment Tools: Flask, FastAPI, and AWS
  • Version Control: Git
  • Bilingual: English / Mandarin

🌟 Featured Projects

Flight Delay Prediction (Mar 2023)

  • Tools Used: Python Pandas NumPy Seaborn Matplotlib and more
  • Algorithms: GaussianNB, HistGradientBoostingClassifier, and more
  • Goal: Predict flight delays based on multiple parameters
  • Result: Achieved high performance using various algorithms

E-commerce Demand Prediction (Apr 2023)

  • Tools Used: Python Pandas NumPy SARIMA LSTM Prophet and more
  • Algorithms: SARIMA, LSTM, Dual-input LSTM Model, Prophet, FFT
  • Goal: Time-series prediction for e-commerce sales
  • Findings: High accuracy in predicting sales related to moon phases and other factors. Repository Link

πŸ“š Education

  • Lighthouse Labs (Feb 2023 - Apr 2023): Data Science Diploma
  • Berklee College of Music (Sept 2018 - Apr 2020): Master of Music, Music Production
  • Chinese Academy of Sciences, Beijing, China (Sept 2005 - July 2008): Ph.D. of Natural Sciences, Solid Earth Physics
  • Dalian University of Technology, Dalian, China (Sept 2002 - July 2005): Master of Engineering, Engineering Mechanics
  • Dalian University of Technology, Dalian, China (Sept 1998 - July 2002): Bachelor of Engineering, Engineering Mechanics

✍️ Personal Note

Dear GitHub Visitors,

I am keenly interested in Data Science and Data Analysis. With a Ph.D. in Solid Earth Physics and extensive experience in Engineering Mechanics, I approach data science with flexibility and creativity. My participation in a data science bootcamp, combined with my academic background, underlines my commitment to this domain.

Feel free to explore my repositories and reach out if you find any mutual interests.

Best,
Peter Xu

Pinned Loading

  1. demand_prediction_project demand_prediction_project Public

    Jupyter Notebook 1

  2. mini-project-III mini-project-III Public

    Forked from lighthouse-labs/mini-project-III

    Repo with the instructions for the Mini Project III

    Jupyter Notebook 1

  3. Data-Visualization-and-Dashboards-with-Tableau Data-Visualization-and-Dashboards-with-Tableau Public

    Jupyter Notebook

  4. mini-project-IV mini-project-IV Public

    Jupyter Notebook 1

  5. mini-project-V mini-project-V Public

    Forked from lighthouse-labs/mini-project-V

    The repo with instructions for Mini Project V

    Jupyter Notebook 1

  6. SQL-Project SQL-Project Public

    Week 1 Project 1