Backend Development:• Developing the backend system for a webapp from scratch using Django and Django Rest Framework• Designing, developing, maintaining and querying a PostgreSQL database• Integrating with external APIs such as PayPal, Postmark, and third-party survey exchanges• Building a complex evaluation system to determine which surveys users are eligible to take based on their answers to profiler questions, and the strict quota criteria of the surveys• Thoroughly unit… Show more Backend Development:• Developing the backend system for a webapp from scratch using Django and Django Rest Framework• Designing, developing, maintaining and querying a PostgreSQL database• Integrating with external APIs such as PayPal, Postmark, and third-party survey exchanges• Building a complex evaluation system to determine which surveys users are eligible to take based on their answers to profiler questions, and the strict quota criteria of the surveys• Thoroughly unit testing functionality using Pytest• Analysing user and revenue data using pandas and matplotlib to identify improvements in the survey matching system, and monitoring to ensure that the improvements have made a positive impact• Using docker to set up the backend project in a container for ease of deployment and working across different systems• Hosting servers on Amazon ec2 instances and storing data using S3• Embracing the start-up style of work and taking on a variety of new and challenging tasksResearch & Development:• Developing a custom YOLOv3 based on the original research paper and open-source projects• Writing a python script to automatically generate training images with various GUI elements• Using an Amazon ec2 instance with CUDA to run training and evaluation scripts using the GPU• Transfer learning a model for our particular purpose after pre-training on a public dataset of mobile app elements (RICO)• Evaluating models and tuning parameters. Show less

• Training Convolutional Neural Network (CNN) classification models in Python using fast.ai (PyTorch)• Performing transfer learning on pre-trained models to quickly develop high accuracy models• Visualising high dimensional data sets using non-linear dimensionality reduction techniques such as tSNE with ggplot• Developing random forest classifier models based on intermediate activations from a CNN• Performing dimensionality reduction on high dimensional data using Principal… Show more • Training Convolutional Neural Network (CNN) classification models in Python using fast.ai (PyTorch)• Performing transfer learning on pre-trained models to quickly develop high accuracy models• Visualising high dimensional data sets using non-linear dimensionality reduction techniques such as tSNE with ggplot• Developing random forest classifier models based on intermediate activations from a CNN• Performing dimensionality reduction on high dimensional data using Principal Component Analysis (PCA)• Cleaning and analysing numerical and image datasets using Python and R• Collaborating with a team of PhD and MEng students to develop and test machine learning and computer vision tools• Developing prototype and proof of concept statistical models• Completing a research project as part of my MSc programme Show less

• Developing, updating, and maintaining the Promotional Effectiveness Tool, and using this coupled with my own insight and expertise to give recommendations to all members of the sales team• Modelling various hypothetical pricing scenarios to ascertain the financial impact on the company• Extracting, cleaning, manipulating, and analysing pricing and volume data to drive performance insights• Leading weekly team meetings to discuss sales performance within the retail team and assess… Show more • Developing, updating, and maintaining the Promotional Effectiveness Tool, and using this coupled with my own insight and expertise to give recommendations to all members of the sales team• Modelling various hypothetical pricing scenarios to ascertain the financial impact on the company• Extracting, cleaning, manipulating, and analysing pricing and volume data to drive performance insights• Leading weekly team meetings to discuss sales performance within the retail team and assess any potential risks to the forecast• Liaising with numerous stakeholders throughout the business, including providing data backed recommendations to executive level staff• Modelling ad-hoc, time sensitive requests with accuracy and efficiency• Updating and maintaining the internal company price card and working to correct any errors in a timely manner• Working on a trade terms project to add conditionality to customer spend in order to increase revenue• Building customer specific external price cards to be shared outside the business• Using Nielsen Answers module to analyse and extract large data sets• Using Oracle Hyperion, an OLAP database to extract data Show less

• Analysing, extracting, interpreting, manipulating, and presenting financial data on daily basis • Producing a mix of planned and reactive data sets for BI reporting • Using multiple data sources including multidimensional OLAP databases (TM1)• Authoring static and dynamic reports in Cognos analytics for senior management • Creating dashboards in IBM Cognos Analytics to track and analyse report usage and effectiveness• Reviewing and optimising dashboards, reports, and data… Show more • Analysing, extracting, interpreting, manipulating, and presenting financial data on daily basis • Producing a mix of planned and reactive data sets for BI reporting • Using multiple data sources including multidimensional OLAP databases (TM1)• Authoring static and dynamic reports in Cognos analytics for senior management • Creating dashboards in IBM Cognos Analytics to track and analyse report usage and effectiveness• Reviewing and optimising dashboards, reports, and data visualisations to ensure fit for purpose • Performing SQL queries and joins for ad hoc reporting Show less

The highly competitive Saltire Scholarship programme seeks to find the next generation of Scottish leaders, and receives over 1000 applications every year. After a rigorous interview process, I was able to secure an internship within the global headquarters of Jabil, a global manufacturing solutions company.