Help & Supportcareers@gravityer.com
MSc/DPhil in Neuro @ Oxford (2024-29). Interested in computational neuroscience and AI (e.g. bio-inspired learning in neural networks).
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
UCL -> Imperial
Data Scientist
June 30, 2026 – Present
genomic_data_extraction
January 17, 2024 – April 29, 2024
Pipeline for collecting, processing, and storing DNA and mRNA expression profile data of given species from publicly available genetic databases.
View Projectsnn-sound-localization
March 31, 2022 – December 11, 2025
Training spiking neural networks for sound localization
View ProjectExampleExps_jsPsych
March 28, 2021 – March 28, 2021
Learning how to use the jsPsych library and JS for online behavioural experiments creation
View ProjectArvato-MLProject
August 25, 2020 – January 10, 2021
Udacity Machine Learning Engineer Nanodegree Capstone on customer segmentation and acquisition with Arvato Bertelsmann Financial Solutions.
View ProjectNeuroML-Tumor
August 22, 2020 – December 3, 2020
Exploratory Project on Brain Tumor Detection from MRI image data, using Residual Neural Networks (ResNet50)
View ProjectPlagiarism-Detector
August 20, 2020 – September 8, 2020
Code and files associated with the Project called 'Plagiarism Detector', part of the Machine Learning Engineer Nanodegree at Udacity, School of AI. This project is the third of this Nanodegree, and is part of the module 'Machine Learning, Case Studies'.
View ProjectSentiment-Analysis-Project-AWS
August 10, 2020 – August 10, 2020
Code and files associated with the Project called 'Deploying a Sentiment Analysis Model', part of the Machine Learning Engineer Nanodegree at Udacity. This project is the second of this Nanodegree, and is part of the module 'Machine Learning in Production'
View ProjectMLND-learning
August 1, 2020 – October 4, 2020
Code and associated files created or filled in, used in my learning during the Machine Learning Engineer Udacity Nanodegree Program
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic, indicating a strong drive for self-learning and exploration in data science. However, the lack of diverse team projects or professional experience makes it difficult to fully assess cultural fit beyond individual initiative. The target role is 'Data Scientist', which aligns with the project themes, but the 'experienceLevel' is 0, suggesting a very junior profile for a senior role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test score is 0, providing no insights.