Andrew Boateng

Experience

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  Domino's

  Nov 2018 - Jun 2019

  Customer Service Representative

  Developed mental maths skills and multi-tasking abilities whilst working on the tills. Enhanced communication skills from constantly engaging with customers. Gained initial experience in sales from regularly upselling customers.

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  Selfridges

  Aug 2019 - Dec 2019

  Sales Associate

  Learned to be adaptable to whatever department the company assigned me whether that was in the kid’s department or Christmas department. Developed sales skills by securing additional sales from customers and working towards sales targets. Held responsibility for stock control, which included bringing in deliveries, organizing the stockroom, and taking stock to the shop floor.

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  COVID-19 Instant Test Center

  Feb 2021 - Feb 2021

  Marshal

  Ensured that visitors to the center adhered to COVID-19 safety rules and regulations.

• 

  Wilko

  May 2021 - Aug 2021

  Customer Service Assistant

  Worked at night putting stock from deliveries onto the shopfloor.

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  Journi

  Jan 2022 - May 2022

  Accelerator Programme Participant with American Express

  The Intrapreneurs Club builds high-performing and diverse tech teams. Diversity remains disappointingly low in the UK tech sector, but we aim to change this by connecting our community with remarkable jobs and delivering world-class accelerator programmes to tech professionals from diverse backgrounds.

• 

  American Express

  Apr 2022 - Apr 2022

  Software Engineer Intern

  Worked on the MARS team as a spring intern on a Back-Book Migration tool. Which involved changes to the backend of the migration processes as well as additions to the existing UI. Made it visible and re-organised the information which relates to this process to track progress and investigate issues related to the movement of information between systems.

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  Thames Water

  Jun 2022 - Aug 2022

  Data Scientist Intern

  Developed my data science skills by working on an acoustic logger project. Using deep learning and neural networks to tackle an audio classification problem, utilising PyTorch to build a neural network and PySpark to transform and clean a large dataset. The project yielded 70% accuracy.

• 

  Apple

  Aug 2023 - now

  Software Engineer