Case Studies
Automated Day Trading using Multivariate Time Series
We built a day trading algorithm using multivariate LSTM and AWS Lambda.
Predicting Port Congestion using Network Analysis
We use graph theory to predict port congestion from AIS data.
Spatiotemporal Forecasting of the Economic Effects of COVID19
We forecasted the effect of COVID19 cases on various economic indicators considering both spatial and temporal dependencies.
Predicting Myocardial Infarctions and Strokes in Clinical Trials Patients
We predicted myocardial infarctions and strokes in clinical trials patients using survival modelling.
Differential Privacy for User Data
We applied differential privacy techniques to improve anonymization of user data.
Semantic Search Engine Developed for Custom R&D Data Lake
We developed a custom semantic search engine for an R&D document store using NLP.
Computer Vision to Monitor Sleep Study Participants
Applied computer vision to monitor sleep study participants, and count scratching events.
Using NLP to Identify Subgroups of Patients with Rare Diseases
We applied NLP to identify subgroups of patients with rare diseases to improve targeting for research efforts.