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I worked as a senior data scientist at Futurelearn in London, UK.

• Development of recommendation engine to suggest new courses to users (Built two versions: 1. for engaged users, leveraging user-course interactions like enrolments, purchases and page views; 2. for less engaged users leveraging information of users based on personal questions on sign-up).
• Built time-series forecasting models: arima, exponential smoothing, Prophet (Python).
• Designed, implemented machine learning models (e.g. regression, classification) and productionised them (e.g. AWS, Sagemaker, Google Cloud Platform)
• Used natural language processing (Python) for the optimisation of SEO (e.g. automatisation of keyword categorisation).
• Mentored junior members of the team (e.g. helped one employee to transition from the Insights team to the DS team, onboarded three employees providing support with technical skills, processes and guiding through projects and the DS roadmap).
• Developed data science best practices and guidelines.

I worked as a data scientist at Futurelearn in London, UK.

• Generated insights from data that directly impacted product development and/or increase conversion.
• Developed and deployed machine learning models in Python ( e.g. linear/logistic regression, classification, decision trees, Random Forest, XGBoost), achieving up to 15% improvement in prediction accuracy for key business metrics.
• Defined, analysed and monitored new key success measures such as average lifetime value (built in SQL).
• Delivered workshops in Databases and PostgreSQL for other employees (with excellent feedback on communication and teaching skills).
• Consulted teams with design and analysis of A/B tests (developed an A/B testing design flowchart for product teams in collaboration with product designer)
• Worked within cross-functional teams as data advisor.

I worked as a research assistant in the Psychology department at City, University of London in London, UK.

• Preparation of data collection and recruitment of study participants.
• Administration of lab-based experiments on audio-visual speech comprehension using MATLAB.
• Troubleshooting and problem solving during lab work.

I worked as a research assistant in the department of Language and Communication Science at City, University of London in London, UK.

• Collaborating on publications, e.g. this paper: Cultural adaptation and psychometric testing of The Scenario Test UK for people with aphasia
• Coding and data analysis of gestures and intonation patterns in spontaneous speech samples by people with aphasia using R.
• Administration of a new diagnostic tool to assess language and cognition for people with aphasia and neurologically healthy controls.