Alex Holderness

Data Scientist

https://talent.gravityer.com/alex-holderness

Data Scientist

London, England, United Kingdom

Key Strengths

Demonstrated interest in Data Science and AI through multiple personal projects (Facial-Landmark-Detection, Scuba-ai, Disinformation-Tracker, Decision-Tree-Classifier, Microsoft-Research-Sentence-Completion-Challenge).
Experience with Python and Jupyter Notebook for data science tasks.
Familiarity with machine learning concepts (TensorFlow Keras, minimax algorithm, decision trees, LSA, n-gram, neural networks).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards personal projects, indicating self-motivation and a passion for learning. The diversity of projects, from AI diving buddies to game development and web apps, suggests a broad interest in technology. However, the lack of professional experience or team-based projects makes it difficult to fully assess cultural fit in a collaborative work environment. The projects align well with a Data Scientist role, demonstrating relevant technical interests.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

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Projects

Scuba-ai

March 13, 2026 – Present

Scuba.ai is the world's first vision AI Diving Buddy

View Project

attentional-reading

March 7, 2026 – Present

An RSVP (Rapid Serial Visual Presentation) speed reading web app that helps you read faster by displaying words one at a time at a controlled pace, centred on the Optimal Recognition Point (ORP) — the letter your eye naturally fixates on.

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JSON-Editor

April 22, 2023 – April 22, 2023

Web-app for editing and reformatting JSON files.

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Extracting-Green-Bonds-Use-of-Proceeds

May 31, 2022 – September 12, 2022

System to identify the commitment made to climate action contained within green bond issuance and post-issuance reports.

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Decision-Tree-Classifier

December 2, 2021 – December 2, 2021

Python implementation of a decision tree classifier. Tested on the Wireless Indoor Localization Data Set.

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Disinformation-Tracker

May 5, 2021 – August 28, 2022

Code for the Streamlit application - Disinformation Tracker. Leverages the Twitter API to analyze the dissemination of false news through the Twitter network.

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Microsoft-Research-Sentence-Completion-Challenge

March 17, 2021 – April 30, 2021

Collection of methods for approaching the MSR-SCC. LSA, n-gram, and neural network implementations.

View Project

Facial-Landmark-Detection

January 21, 2021 – January 21, 2021

TensorFlow's Keras API - predicting IBUG 68 landmark points on unseen facial images.

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Draughts-Game

November 15, 2020 – October 7, 2021

Game of draughts written in Python. Uses the minimax algorithm with alpha beta optimization for the AI player.

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fixing_windows_GGJ

February 1, 2020 – February 4, 2020

Global game jam 2020 submission.

View Project

Key Strengths

Demonstrated interest in Data Science and AI through multiple personal projects (Facial-Landmark-Detection, Scuba-ai, Disinformation-Tracker, Decision-Tree-Classifier, Microsoft-Research-Sentence-Completion-Challenge).
Experience with Python and Jupyter Notebook for data science tasks.
Familiarity with machine learning concepts (TensorFlow Keras, minimax algorithm, decision trees, LSA, n-gram, neural networks).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

Alex Holderness

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit