Bank of America

Jul 2022 - Present|Data Engineer

I began my career at Bank of America as a data engineer, starting on the graduate scheme. While largely focussed on creating and maintaining reports for enterprise-wide server vulnerability tracking, the scope of my work has also expanded to designing and implementing a number of automated processes. All of my work is planned, developed, tested and deployed following DevOps practices which has given me excellent proficiency in a wide range of tools and processes.

• Data pipelines using Python

  Python

  SQL

  Pandas

  Data ETL

  Created from the ground up, a collection of data pipelines to pull data from various sources then load and manipulate it ready for consumption in dashboards. This included custom logging and syncing tools linked to our front-end to keep track of the data loading process and to ensure that the data is correctly synchronised across our databases.

• Database maintenance

  SQL

  MS SQL Server

  PostgreSQL

  Took ownership of various SQL views and stored procedures in our database used to manipulate data before being used in the dashboards. Additionally, drove the migration of data from one database to another as part of upgrading the server infrastructure which required a lot of planning to avoid any downtime to our dashboards.

• Visualisations with Tableau

  Tableau

  Data Visualisation

  Created and maintained a large number of dashboards using Tableau, reporting on enterprise-wide server vulnerabilities. I have learnt the ins and outs of Tableau and have good experience with making impactful dashboards which convey the data as a story.

• Team website

  Python

  Django

  HTML

  JavaScript

  TailwindCSS

  Linux

  Full-stack

  I am the lead developer of our team's automation website which is used to automate a number of previously manual processes. This is built in Django, a Python full stack web framework, utilising its backend and frontend features as well as using custom JavaScript and styling to improve reactivity and design. As well as the development side, I have also gained valuable experience with deploying software in a professional environment including a thorough understanding of Linux operating systems. As a lead developer, I also used this project to learn the best practices when it comes to planning and assigning tasks within a team in a professional software development setting.

Tesco

Apr 2020 - June 2022|Customer Assitant & Shift Leader

Part-time role during my time at university. I was allowed to train up to be a shift leader for when the schedules required it which gave me the opportunity to practice leadership and demonstrates how I always want to keep learning no matter the position I am in.

University of Leicester

Sep 2018 - Jul 2022|MPhys in Physics with Space Science

1st class Master of Physics degree. Key modules and topics covered: Statistical Physics, Statistical Data Inference, Computational Physics, Core Physics, Experimental Physics. My option courses had a large focus on computational Physics, in particular looking at how we can use machine learning algorithms within Physics.

• Data inference using Gaussian Processes

  R

  Python

  Modelling

  Machine Learning

  Modelling time-series data with a form of machine learning. Developed with a mix of Python and R for computation and then visualisation. The end goal was to try and make predictive scientific models for star classification utilising Gaussian processes and Fourier Transforms.

• Dynamics of Circumbinary planets

  C

  Batch processing

  Linux

  Modelling

  Modelling the orbits of three gravitationally bound bodies using batch processing on a super-computer to find stable orbits. Developed entirely in C using batch processing on the super-computer to find optimal model parameters resulting in stable orbits.

King Edward VI Sixth Form College

Sep 2016 - Aug 2018|3 A-Level qualifications

Recieved the following grades in A-Levels: Mathematics (A*), Physics (A), and Computer Science (A)