Soham Deshpande
Incoming Commodities & Global Markets Analyst at University of Southampton
Amersham, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolSoham Deshpande is a Computer Science MEng student at the University of Southampton specializing in machine learning and computational finance, joining Macquarie’s Commodities & Global Markets Data Science team as an incoming analyst. He blends strong mathematical intuition with hands-on ML research—having adapted the Temporal Fusion Transformer for stock forecasting and investigating quantum computing approaches to deep hedging for his dissertation. Practical experience spans quant internships at Macquarie, Mako Trading, and bespoke projects in ERCOT renewables demand modelling, Snowflake/Streamlit visualisations, and synthetic market data generation via quantum circuits. Soham also leads education efforts as former Head of Algorithmic Trading, delivering lectures to 100+ students on time-series and options models, and maintains an active GitHub showcasing his finance-ML experiments. Notably, his profile reflects a rare intersection of quantum ML curiosity and real-world commodities quant exposure before graduation.
10 years of coding experience
1 year of employment as a software developer
Master of Engineering - MEng Computer Science, Master of Engineering - MEng Computer Science at University of SouthamptonA Level Maths Further Maths Computer Science and Physics, A Level Maths Further Maths Computer Science and Physics at Dr Challoner's Grammar School
Marathi, German
Github Skills (12)
stock-price-prediction10
stock-price10
stock-prediction10
temporal9
stock9
fusion9
transformer-models9
prediction9
python8
machine-learning7
deep-learning7
transformer5
Programming languages (2)
Github contributions (5)
Soham-Deshpande/Stock-TFT
Sep 2021 - Apr 2022
Stock price prediction using a Temporal Fusion Transformer
Contributions:98 commits, 14 PRs, 92 pushes in 6 months
pythontime-series-analysisstock-price-predictionstockstock-price
Soham-Deshpande/Deep-Stock-Prediction
Jan 2021 - Jan 2022
Contributions:1 review, 58 commits, 6 PRs in 1 year
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