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De Feng Hu

Madrid

Email: [email protected]

GitHub: github.com/defenghu

LinkedIn: linkedin.com/in/defenghu/

Projects

Fashion-MNIST Neural Network Classifier

Developed a Python-based machine learning model for image classification using the FashionMNIST dataset. Implemented data preprocessing techniques, neural network models, and evaluated their performance, gaining hands-on experience in machine learning and data visualization.

Hospital Data Analysis

Analyzed medical data from three different hospitals, focusing on patient demographics and diagnoses. Utilized Python libraries such as pandas for data manipulation, matplotlib and seaborn for data visualization, and numpy for numerical computations.

Vertex AI: Predicting Loan Risk with AutoML

Trained and served a machine learning model to predict loan risk with a tabular dataset on Google Cloud Platform.

Technical Skills

• Programming: Java, SQL, Python, R
• Technologies: Google Cloud Platform, Apache Beam, Hadoop, Spark, Hive, Impala, Pandas, NumPy, Matplotlib, Seaborn, SymPy, Scikit-Learn, Docker, Git, Linux, Anaconda, Jupyter
• Language: Native Chinese and Spanish, Full Professional Proficiency in English

Education

Tajamar, Madrid

Artificial Intelligence Applied to Business
Relevant Coursework: Artificial Intelligence, Machine Learning, Deep Learning, Big Data, Applying Artificial Intelligence to Business, History of Artificial Intelligence

CRN en Desarrollo Informático y Comunicaciones

Data Analyst Cloudera
Relevant Coursework: Data Analysis, Data Definition Language, Apache Hive, Apache Impala, Introduction to Statistical Learning

CRN en Desarrollo Informático y Comunicaciones

Data Engineering on Google Cloud Platform
Relevant Coursework: Big Data, Data to Insights, Data Pipelines, Google Cloud Infrastructure

Campus Digital San Blas

Java Developer
Relevant Coursework: Data Structures and Algorithms, Object-Oriented Programming, Operators and Control Statements, Interfaces and Exception handling