daniel-elston Goto Github PK

followers: 3.0 following: 3.0 repos: 29.0 gists: 0.0

Name: Daniel Thomas Elston

Type: User

Company: RPS

Bio: Data Scientist at RPS | MSc Data Science & AI (Hons) at Queen Mary University of London | BSc Physics (Hons) at University of Bristol

Location: Cardiff, UK

Blog: https://www.linkedin.com/in/daniel-elston-data-science/

Hello, World!

Data Scientist | MSc Data Science & AI (Hons) | BSc Physics (Hons)

Academic Projects 🏆

MSc Data Science & AI (Hons) Dissertation: I developed a dynamic pricing ML algorithm for a leading distributor of car parts at a prestigious Data Science consultancy firm in London.
BSc Physics (Hons) Final Year Project: LHC Particle Beam Detection for CERN. Collaborated with a team of four and received a commendation.

Daniel Thomas Elston's Projects

apache-reddit-etl

Ingestion and processing of live Reddit data using Apache suite

breast-cancer-analysis

Principle Component Analysis of a breast cancer dataset.

cern-lhc-particle-beam-detection

(Team Lead) My final year BSc Physics project providing CERN with a statistical analysis and recommendation for a particle beam loss monitor for the LHC.

creating_synthetic_data_using_ml

Using ML to create Synthetic Data to address issues in NaN and algorithmic bias.

credit-card-default-prediction-algorithm

Algorithm used to predict whether a bank customer will default on given credit cards using bank telemarketing dataset.

Comparative study of CV models in PyTorch, contrasting a custom-built CNN with established architectures like EfficientNet and ResNet. Also explores the advantages of pre-trained models and transfer learning.

daniel-elston

GitHub introduction page. Config files for my GitHub profile.

data-mining-fraud-outlier-detection

Data mining techniques used to identify outliers and potential fraudulent activity in a stocks dataset.

data-mining-wine-analysis

An analysis of a wine dataset using multidimensional scaling.

data-privacy-and-cyber-security

A report detailing the current problems with Data Privacy, the GDPR and how Cyber Security can be improved.

data-science-wg

SF Brigade's Data Science Working Group.

django-crypto-dash

Django dashboard for live Crypto data

early-data-analysis-work

A collection of data / statistical analysis conducted while learning the ropes of data science and coding.

hum-whistle-song-recognition-software

Machine learning, signal processing pipeline used to identify song name from user input (hum/whistle to song).

json_to_pgsql

This project utilises Python control flows and Pandas to parse JSON data efficiently. The parsed data is stored in a PostgreSQL database. Basic SQL commands are used to query and export data from the DB.