headhunter in the finance industry

Work on RL trading bots, trained and provide signals for TCA, better slippage and market execution and better post trade pnl

Analysed different ML/DL/Dnn/multimodal/regression & timeseries models for better inventory management. Based on supply and demand pov Worked on hybrid neural networks design that uses different type of NN (lstm, linear regression/non linear regression, gru, Cnn) all combine in parallel with an attention layer towards the end. Logic was to get various types of insights from the data set and then letting the neurons decide the outcome.

Work in python libraries to extract data, price forecasting, trends prediction. Researched on hybrid DNN models.

Did a research on various ml model, for digital marketing purposes. Models that analysed and advised best customers click through and deal making.

Work on mathematics and deployment of portfolio optimiser CVaR, and hierarchy risk parity models

Designed posters, and articles for social media pages of GYWS