Poovanna Machangada Sathish

About

I'm a business and data analyst in London. I build tools for analysing sports trading and prediction markets, and I test ideas against real data before I trust them.

Since 2022 I've worked at Paradine, a London trading firm, where I report on trading performance every week, analyse strategies and accounts, build forecasts and dashboards, and automate the repetitive parts.

Before that I studied mechanical engineering: a BEng in Bengaluru and an MSc at the University of Leeds, where my dissertation was on optimising heatsinks for servers. The optimisation and numerical methods turned out to be good training for markets.

I'm now moving towards finance roles in trading, commodities and risk. Outside work I build my own market tools, like the oil terminal on this site, and I'm working on a sentiment-driven trading bot on Alpaca.

When I'm not looking at prices, I'm usually skiing.

Experience

Contact

poovannams@gmail.com

linkedin.com/in/poovanna-m-s

London

Education

  • MSc Advanced Mechanical Engineering, MeritUniversity of Leeds, 2021 to 2022

    Modules in Design Optimisation, Engineering Computational Methods, Vehicle Systems Engineering, CFD Analysis, and Spacecraft Dynamics and Control.

  • BEng Mechanical EngineeringDayananda Sagar College of Engineering, Bengaluru, 2016 to 2020

    CGPA 8.32 out of 10.

  • CoursesCFI Financial Modelling & Valuation Analyst (FMVA), in progressCoursera: Financial Markets (Yale); Introduction to Corporate Finance (Wharton)

Tools

Analysis
Python (pandas, NumPy, SciPy, statsmodels), SQL (BigQuery, DataGrip), MongoDB, Excel
Modelling
Time-series forecasting (ARIMA, GARCH), maximum likelihood, A/B testing, machine learning
Reporting
Power BI, Tableau, Streamlit, Plotly, automated reports
Engineering
REST and websocket APIs, Git (GitHub, Bitbucket), Ubuntu, SSH, AWS S3