Bevin Olszewski
About Bevin Olszewski
Bevin Olszewski is a Senior Data Visualisation Analyst at ICIS, where he has worked since 2021 after three years as a Data Visualisation Analyst. He specializes in D3.js and has a background in predictive analytics and human resources management.
Current Role as Senior Data Visualisation Analyst
Bevin Olszewski currently holds the position of Senior Data Visualisation Analyst at ICIS, a role she has occupied since 2021. In this capacity, she focuses on creating effective data visualizations that enhance data interpretation and decision-making. Her work is based in London, England, where she leverages her skills in data visualization to support various projects.
Previous Experience at ICIS
Prior to her current role, Bevin Olszewski worked at ICIS as a Data Visualisation Analyst from 2018 to 2021. During her three years in this position, she developed her expertise in data visualization techniques and contributed to multiple projects aimed at improving data accessibility and understanding.
Education and Expertise in Data Analytics
Bevin Olszewski studied at Udacity, where she completed a Business Analyst Nanodegree in Predictive Analytics in 2017. She also holds a Post Graduate Diploma in Human Resources Management from Southampton Solent University, which she earned between 2012 and 2014. Her educational background supports her analytical skills and understanding of data-driven decision-making.
Technical Skills in Data Visualization
Bevin Olszewski possesses significant expertise in using D3.js for data visualization projects. She also employs Adobe Illustrator to enhance the visual appeal of her data outputs. Additionally, she is experienced in API data extraction and data blending techniques, which are essential for effective data analysis and visualization.
Volunteer Work and Contributions
Bevin Olszewski has volunteered as a featured contributor with vizforsocialgood.com, where she focuses on data visualization for social causes. This role allows her to apply her skills in a meaningful way, contributing to projects that aim to address social issues through effective data representation.