Consultant - Deep Learning | Quantitative Trading

6/2018 – offen

-Implementing crypto trading platform for automated intraday quantitative trading on BitMEX using Celery and MongoDB.
-Alpha Design using Statistical Time Series Analysis and Deep Learning
-Feature Extraction from real time websockets

Data Mining, Maschinelles Lernen, Python, Django

12/2015 – 7/2018

-Creating an on-premise web application to predict the future ranking of tracks in recent albums. The algorithm make use of Recurrent Neural Networks for Time Series Prediction.
-Clustering similar artists and tracks to compute various KPIs used for making sophisticated marketing strategies.
-Aggregating company wide datasets using AWS EC2 and Postgresql servers.
-Statistical Analysis on daily worldwide data streams coming from Spotify, iTunes, Apple Music using Google Cloud Platform and hosting results on plotly dash via intranet.

Data Science, Maschinelles Lernen, Mongodb, Postgresql, Python, Django

6/2015 – 12/2015

-Using various signal processing techniques to analyze EEG data.
-Finding patterns from high dimension signal space using Fourier Analysis.
-Implementing Recurrent Neural Networks for Spike Sorting.

Maschinelles Lernen, Python