Throughout my academic and professional journey, I have developed a comprehensive skill set that encompasses a wide range of technical and analytical capabilities. Here are some of the key skills I possess:

Technical Skills

  • Proficient in relational database management systems, including MySQL
  • Experienced in data integration tools such as Kettle, Airflow Python-based ETL pipelines
  • Skilled in using data management tools like DataGrip, DBeaver, and Jupyter Notebook
  • Adept at leveraging Microsoft Office suite for data analysis and reporting

Programming Languages and Frameworks

  • Proficient in Python programming for data analysis, machine learning, and automation
  • Experienced in using deep learning frameworks such as TensorFlow and PyTorch
  • Familiar with MATLAB for scientific computing and numerical analysis
  • Skilled in using data visualization libraries like Matplotlib, Seaborn, and OpenStreetMap (OSMnx)

Machine Learning and Data Science

  • Strong understanding of machine learning algorithms, including supervised (e.g., SVM, random forest, logistic regression) and unsupervised (e.g., clustering, dimensionality reduction) techniques
  • Expertise in deep learning architectures like Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Transformers (BERT, GPT, CLIP)
  • Knowledge of reinforcement learning algorithms such as Q-learning, Sarsa, and policy gradient methods
  • Familiarity with advanced techniques like Gaussian processes, Markov Decision processes, Monte Carlo methods, and Dynamic Programming
  • Experience in applying ensemble methods like Gradient Boosting (GBDT, XGBoost) and Bayesian methods

Theoretical Foundations

  • Strong background in mathematics, including probability theory, statistics, and optimization
  • Understanding of machine learning concepts like activation functions, feature selection, cross-entropy, cross-validation, and backpropagation
  • Familiarity with data preprocessing techniques, including missing value imputation and feature engineering

Data Analysis and Visualization

  • Skilled in using Python libraries like NumPy, SciPy, Pandas for data manipulation and analysis
  • Experienced in creating insightful visualizations using Matplotlib and Seaborn
  • Proficient in exploratory data analysis and statistical modeling

Other Skills

  • Trilingual: Fluent in Mandarin (native), Japanese (N2 certification), and English
  • Experienced in image editing and graphic design using Photoshop
  • Strong problem-solving and analytical abilities
  • Excellent communication and collaboration skills

With a solid foundation in mathematics, computer science, and machine learning, combined with practical experience in diverse projects and industries, I am well-equipped to tackle complex challenges and deliver innovative solutions. I am constantly seeking opportunities to expand my knowledge and stay up-to-date with the latest advancements in the field of machine learning and artificial intelligence.