Data Scientist with a focus on quantitative analysis, forecasting and energy/time-series data.
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MSc graduate from Imperial College London with a background in energy systems, quantitative analysis and data science. I work mainly with Python, structured datasets, time-series analysis, forecasting and machine learning. I am interested in roles where analytical work supports real decisions, especially in energy markets, risk analytics, forecasting and applied data science.
JAKALA — Data Science Trainee, Data Science & AI Programme
Jun 2024 – Jul 2024
Worked on structured datasets using Python and SQL, including data preparation, exploratory analysis, feature engineering and model evaluation. Contributed to an e-commerce AI solution-design case study involving customer and product data, segmentation logic and chatbot components.
Ministry of Education, Italy — Mathematics and Science Teacher
2022 – 2024, intermittent assignments
Taught mathematics and science across multiple schools, explaining quantitative concepts and adapting explanations to different learning levels.
Imperial College London — MSc Geo-Energy with Data Science and Machine Learning
2024 – 2025
