Machine Learning Engineer with a Quantitative Background
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About this service
Summary
As a Machine Learning Engineer with a strong quantitative background, I offer end-to-end solutions that integrate advanced machine learning algorithms with rigorous statistical and modeling techniques. I specialize in developing data-driven models that not only solve complex problems but also deliver measurable business impact, ensuring accuracy and reliability. My unique combination of machine learning expertise and deep understanding of quantitative methods allows me to create robust, scalable solutions tailored to industries like finance, healthcare, and beyond.
What's included
Data Analysis and Feature Engineering
A detailed report of the exploratory data analysis, highlighting key insights, trends, and patterns in the data. This also includes engineered features that improve model performance, based on domain knowledge and quantitative methods
Machine Learning Model Development
Robust machine learning models tailored to your business problem. This includes statistical models (e.g., regression, time series) and more complex models (e.g., neural networks, reinforcement learning) with performance metrics such as accuracy, precision, recall, and F1 score
Skills and tools
ML Engineer
AI Model Developer
AI Developer
OpenAI
Python
PyTorch
scikit-learn
TensorFlow
Industries
Finance
Health Care
Real Estate
Work with me