Dáre is a biochemistry graduate with five years’ experience working in the charity sector and recently transitioned into technology. As a self-starter with no experience and training in the voluntary sector, she developed herself and gained skills in financial reconciliation, data governance and audit management, and business intelligence using a range of software including Salesforce and Tableau. With these skills, she was able to transform the operations and processes for the charity she worked with, enabling them to deliver on their fundraising and financial goals.

She gained keen interest into the world of technology during the start of the COVID-19 pandemic. She took this interest further by self-learning SQL, and completed Code First Girls masterclass in Introduction to Python Programming. With her growing interest in data operations, she career-pivoted into data science and machine learning by completing a Code Firs Girls Data Science CFGdegree (formerly known as the CFG nanodegree), passing with the highest level of Distinction. Dáre subsequently commenced her role as a Data Scientist at Credit Suisse.

She has since developed her skills at Credit Suisse working on intelligent automation projects with responsibilities including data ingestion, deployment, and refactoring. She acts as a Data Champion for the Data Science and Visualisation Community of Practice, responsible for the advocacy of data within Credit Suisse and heading logistics for events such as knowledge-sharing series and hackathons. She is continually retraining, currently pursing knowledge in cloud computing with Azure training and hopes to work in machine learning operations (MLOps) in the future.

By transitioning into IT, Dáre has proven that lack of experience or a background in technology is not a barrier to pivoting into that space and encouraging her network and the young people she engages with to take a chance in STEM.