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Machine Learning Engineer
CC Energy Limited•  July 2023 - September 2023
• Collaborated with Finance and Tech teams to develop an oil price forecasting and risk assessment ML model using PyTorch and scikit‑learn. • Introduced model evaluations using hyperparameter tuning via cross validation to optimize model performance. • Improved the model’s overall performance by 30% and enhanced its interpretability with interactive data visualizations.
Software Engineering Intern
CC Energy Limited•  July 2022 - September 2022
• Implemented an in‑production web application to handle cash flow projections for an oil field. • Accelerated statistical calculations by 80% using RAPIDS libraries for GPU processing • Deployed project on an internal network with continuous integration using GitHub Actions and Docker. • Technical Skills: Python, Flask, SQLite3, CUDF, Pandas, Numpy, Next.js and React Suite, Nginx, Software Development Life cycle, Git. • Soft Skills: Time Management, Communication, Presentation skills, Teamwork.
Education
University College London (UCL), University of London, London
Computer Science, MEng
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