Michael J. Peng

AI and Data Science professional with over 17 years of experience in developing machine learning models, AI-driven solutions, and data analytics tools for industries including fintech, e-commerce, and healthcare. Skilled in Python, TensorFlow, PyTorch, AWS, and Google Cloud, with a strong background in predictive modeling and real-time data analysis. Adept at leading cross-functional teams, building AI solutions from concept to deployment, and helping organizations leverage data to solve real-world problems. Currently exploring opportunities to apply AI to drive innovation and improve business operations. Skills Programming Languages: Python, Java, R, SQL, C++ AI/ML Frameworks: TensorFlow, PyTorch, Keras, Scikit-learn Cloud Platforms: AWS, Google Cloud, Azure Data Processing: Pandas, NumPy, Apache Spark, Dask Machine Learning Models: LSTM, XGBoost, ARIMA, Random Forest NLP & Text Mining: NLTK, SpaCy, Gensim Version Control & Tools: Git, Docker, Kubernetes Data Visualization: Matplotlib, Seaborn, Plotly