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

Python

Python

PyTorch

PyTorch

scikit-learn

scikit-learn

TensorFlow

TensorFlow

Industries

Investment & Asset Management
Healthcare
Real Estate