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PhD candidate in AI at Cambridge. Machine Learning Engineer at Onfido. MSc Machine Learning, UCL. Software Engineer at Alphasights. BSc Physics at Oxford.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
irradiance-forecast
July 29, 2023 – July 29, 2023
This repo contains the code to forecast EUV irradiance 'Stan' bands from solar images up to six days in advance.
View Projectsolar-swin-transformer-output-data
October 29, 2021 – January 17, 2022
Repo for storing the output data for the solar swin transformer model that forecasts solar wind speed
View Projectagri-risk
January 23, 2020 – June 22, 2022
Tool for predicting the financial risk associated with changes crop yields. Part of the AI4ER 2020 Group Team Challenge.
View Projectellipsoid-overlap-metric
August 14, 2017 – January 17, 2018
Ellipsoid Overlap Metric measures the area of overlap between covariance ellipses of two 2d data clusters.
View Projectdecorr
August 2, 2017 – August 3, 2017
Python Package that decorrelates a variable from a Pandas dataframe
View Projectsub-cellular-protein-location-classifier
July 19, 2017 – July 19, 2017
sub-cellular-protein-location-classifier — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic, indicating a strong self-driven learning approach. The diversity of projects, including some in Ruby and web technologies, suggests a broad interest beyond core data science, which could be a strength for cross-functional collaboration. However, the lack of professional experience or team-based projects makes it difficult to fully assess cultural fit in a corporate environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback are available.