Toby Draper - Data Analyst unleashing insight from customer success data in AI & SaaS
With extensive leadership experience in the tech space, I am engaged in merging that background with my new analytical skills to focus on customer success operations and help businesses unleash the full potential of their data. This portfolio showcases my assignments from the Data Analytics Career Accelerator with the London School of Economics, where I honed skills in Python, SQL, Tableau, and R through end-to-end work solving real business problems. I will continue to develop new projects and case studies that reflect my focus on customer success operations, as well as personal projects that transform, explore, and visualise data from sources that interest me.
Recent projects
In this project, I used Python and R to analyse customer demographics, spending, and reviews. I built regression and clustering models to identify high-value segments and used NLP to assess sentiment, producing targeted strategy recommendations to optimise a loyalty programme.
In the first LSE Career Accelerator Assignment, I analysed two data sets using MS Excel, PostgreSQL and Tableau, visualising key relationships and delivering actionable insights and recommendations.
In the second LSE Career Accelerator Assignment, I explored four data sets using Python to produce visualisations designed to inform strategic decisions that shape capacity planning and optimise service delivery.