• Leading a cross-functional team of 10 engineers and a designer, fostering collaboration and aligningproject goals, resulting in timely and successful product releases.• Developed and managed product roadmaps, presenting strategic plans and project outcomes to seniorleadership, securing buy-in and additional resources for further development.• Deployed a recommender system, enhancing coach efficiency by reducing decision fatigue throughdata-driven recommendations, which improved user satisfaction by 24%.• Oversaw the development of an AI message suggestion system, increasing coach productivity by67% by streamlining communication processes and reducing response time.• Leveraged the product analytics infrastructure I built as a Data Scientist alongside A/B testing anduser feedback to improve product features continuously.

• Data Scientist (4th Data hire) in the Core Application team, collaborating with product managers, user researchers, designers, and engineers to deliver the best app experience possible• Led the introduction of Amplitude (a product analytics platform) to multiple cross-functional teams, enabling the delivery of user data on feature adoption and usage to drive product decisions• Owned the product analytics pipeline end-to-end within the Core Application team, from defining event schemas to the implementation of code in iOS, Android, and Flutter • Built standardised metric layer using a dbt (BigQuery SQL) and Airflow for quick analysis of A/B tests and increased data quality• Designed and analysed multiple A/B tests for the mobile application, leveraging causal inference methods to analyse results• Built a data-driven push notification feature and corresponding A/B test, which showed a significant increase in user retention• Built end-to-end data products (dashboards and datasets) sold to clients working in Pharmaceuticals and Health Insurance

🏥 Member of Professor Jacques Fleuriot AI Lab during my Master's studies, where I focussed on applying Causal Inference and Machine Learning methods to health data🏆 Awarded the MSc Statistics with Data Science Thesis Prize (Grade: 90%) for my work titled: "To Drain or Not to Drain? A Causal Investigation into the Efficacy of Subdural Drains in Preventing CSDH Recurrence"

Member of AI Perception Team trying to teach a car to drive itself 🏎⭐️ My role involved the processing of the car's stereo camera and LIDAR data which necessitated working with algorithms such as SIFT, SURF, and ConvNets, as well as technologies such as ROS, C++ and git.

Summer internship as part of the Space Placements in Industry (SPIN) Scheme 2020: supported by the Satellite Applications Catapult and managed by the UK Space Agency 🪐🤖 Contributed to the development of Omanos Analytics' machine learning applications by establishing an internal training data pipeline during a summer internship as part of the Space Placements in Industry Scheme 2020🛰️ Designed and implemented an object detection algorithm using TensorFlow that allowed for automated monitoring of large herbivores using high-resolution satellite imagery🦌 My work secured £30k in funding for Omanos Analytics to further develop their use of ML methods for wildlife monitoring.

Asteria are an Edinburgh University group dedicated to designing, manufacturing, and operating orbital nanosatellites.⭐️ Created, designed and assessed scientific missions to be assigned to our 3U CubeSat scheduled to be launched in Dec 2021.⭐️ Successfully negotiated with academic experts from institutions such as the University of Edinburgh to support and advise our organisation's endeavour.⭐️ Curated and wrote scientific mission proposals which secured funding for our 3U CubeSat.

Hótel Egilsen is a luxury, boutique hotel located in Western Iceland. Whilst spending the Summer of 2019 in the beautiful location I:⭐️ Successfully gained conversational proficiency in the Icelandic language.⭐️ Effectively managed a plethora of responsibilities ranging from front of house, receptionist, housekeeping, and bartender.⭐️ Hosted, and communicated with, guests from all over the world.