TLTan LeBackend & automation · CalgaryLet’s talk
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Portfolio analytics API and dashboard

Serverless Python API that pulls Refinitiv market data and runs Monte Carlo simulations, efficient-frontier optimization and time-series forecasts, with a Dash dashboard and OpenAI-written commentary. Dockerized, deployed through GitHub Actions.

What I built

  • A serverless Python API on Azure Functions that pulls market data from Refinitiv.
  • Analytics — Monte Carlo simulation, efficient-frontier portfolio optimisation, and time-series forecasting with Prophet and ARIMA, built on pandas and SciPy.
  • A Dash / Plotly dashboard for exploring the results, with commentary written by the OpenAI API.
  • MongoDB for storage; the whole thing is Dockerised and deployed through GitHub Actions.
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Have a system that should run itself by now?

Tell me what people still do by hand every morning, or what breaks when nobody is watching. I'll map the shortest path to a job that just runs.

Project brief