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👋 Hello! I’m James, a passionate machine learning engineer. My journey began with a fascination for numbers and a love for unraveling complex financial patterns.

I thrive on turning raw data into actionable insights. Whether it’s predicting stock prices, optimizing trading strategies, or building credit risk models, I’m driven by the intersection of finance and machine learning.

• Quantitative Analysis: Proficient in statistical modeling, time series analysis, and econometrics.
• Machine Learning Algorithms: From linear regression to deep learning, I’ve explored a wide range of ML techniques.
• Amazon SageMaker: Leveraging SageMaker for model training, deployment, and hyperparameter tuning.
• MLflow: Tracking experiments, managing model versions, and enabling reproducibility.
• MLOps Practices: Building end-to-end pipelines for seamless model deployment and monitoring.

• California Real Estate Pricing: Built a regression model which aims to answer the question: "what is the expected price of a house in the California area?"
• Stock Price Prediction: Developed an LSTM-based model to forecast stock prices using historical data and technical indicators.
• Portfolio Optimization: Implemented Efficient Frontier optimization for efficient asset allocation.

Bachelor's in Computer Science, Western Governors University

Connect with Me

Let’s discuss data, algorithms, or the latest market trends! You can find me on LinkedIn or drop me an email at [email protected]

LinkedIn

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