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Daniel Wooster

Data Scientist & Software Architect
LONDON / NOTTINGHAM EST. 2004 GITHUB LINKEDIN
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ABOUT ME

I found my passion for programming after travelling and spending time on my own. Without a set plan, I taught myself the basics and discovered the power of code to turn nothing into something, and I've been obsessed with constantly building projects since.

My projects are my discography, each one just as unique as the next, solving problems I've encountered or ideas that I find truly interesting. I thrive in environments where I can constantly learn and grow.

When I'm not at the keyboard, you'll find me at the other keyboard practicing piano or at the climbing wall (still stuck at v5).

2023
Coding since
3
active projects
200+
GitHub commits
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SKILLS

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Hover or click a key to see my skills

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PROJECTS

GREATEST HITS

Statify application screenshot on laptop

Statify

Developed a full-stack application using the Spotify Web API, employing OAuth 2.0 for secure authentication and personalised data retrieval. Created a dynamic React frontend component featuring a stateful, interactive UI that allows users to filter their top data by time range. Managed collaboratively using GitHub for version control, code review and feature branching.

React Flask Spotify API
K-means clustering model results on laptop

K-means donor segmentation model

Engineered an unsupervised K-means clustering model on a donor dataset to create 4 distinct segments, increasing targeting efficiency for fundraising and donor retention. Delivered actionable business insights through comprehensive data visualisations, facilitating data-driven decision-making for the nonprofit

Python pandas NumPy Matplotlib Seaborn Scikit-learn
Monita application screenshot on laptop

Monita

A Website uptime monitoring tool that sends the user notifications if their website is down along with the specific error code. This was built as a side project to notify me if another of my websites was down.

React Flask
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WORK EXPERIENCE

PAST & PRESENT GIGS

July 2026
PRESENT

Lexis Nexis Risk Solutions

Data Science Placement

start in July...

Python SQL Snowflake
June 2025
August 2025

Footprints CEC

Support Engineer
  • Developed a K-Means clustering model for donor segmentation, with data cleaning, feature engineering and strategic visualisation of results for actionable insights.
  • Implemented cloud-based solutions that included migrating the CRM from Salesforce to a cost-effective alternative, configuring Google Workspace/Meta Ads, and setting up a new e-commerce and event platform, resulting in over £300 in annual savings.
  • Led a comprehensive data migration plan for the integration of a legacy database into a new Azure cloud environment, defining schemas and ETL processes to ensure data integrity and system scalability.
Database Migration CRM Management Web Development
2020
2023

Le Table D'Alix

Kitchen Porter

Washing dishes, cleaning the kitchen, and assisting the chefs.

Caffeine addiction Pain tolerance Stoicism
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CONTACT

LET'S WORK TOGETHER

Available for freelance work, collaborations, and full-time opportunities.

DW RECORDS
DOWNLOAD CV