SageData Scientist - Smart Services
Apr. 2017 - Mar. 2019Newcastle upon Tyne, United KingdomDeveloping and deploying smart services for Sage software and supporting Machine Learning development across the organisation. - Design Sage’s Smart Services cloud architecture to develop & deploy ML microservices.
- Developed ML models to detect patterns in customers’ transactions using advanced NLP and machine learning techniques. U.S. Patent Application US20200242134A1. EU Patent Application EP19153803.2A
- Developed & deployed a microservice to predict the next word of textual descriptions. The service uses Markov Chain to suggest the next word based on the history of the user's input.
- Developed workflows to initiate data science projects to support the team becoming more output focused and effective in managing projects.
- Leading a project to evaluate Automated-Machine Learning technologies to promote data science/analytics workflow efficiencies across the organisation. Methods and technologies used: Clustering and classification algorithms, deep learning, computer vision, Bayesian-based forecasting models, Time series analysis (econometrics and LSTM), pattern and anomaly detection, reinforcement learning, NLP, AWS, Azure, Tensorflow and CNTK.