Asiya Rizvi
About Asiya Rizvi
Asiya Rizvi is a Data Analyst at Contentsquare in Manhattan, New York, with a background in sustainability and a unique blend of skills in data science and fine art. She has held various roles in technology and education, including co-op positions and assistant roles, while studying Computer Science and Graphic Design at Northeastern University.
Work at Contentsquare
Asiya Rizvi has been employed as a Data Analyst at Contentsquare since 2022. Based in Manhattan, New York, she has contributed to various projects over her two-year tenure. Her role involves analyzing data to inform design decisions and improve user experience. Rizvi's background in both data science and graphic design allows her to approach data analysis with a unique perspective, enhancing her contributions to the team.
Education and Expertise
Asiya Rizvi studied at Northeastern University from 2017 to 2022, earning degrees in Computer Science and Graphic Design. This educational background equips her with a strong foundation in both technical and creative disciplines. Rizvi possesses experience in multiple programming languages and integrated development environments (IDEs), which supports her work as a Data Analyst. Her education and expertise enable her to integrate data analysis with design principles effectively.
Background
Rizvi has a diverse work history that includes roles in various sectors. She worked as a Global Carbon and Technology Co-op at Indigo in 2021 and as a Quality Engineer Co-op at Carbonite in 2020. Additionally, she served as a Web Developer for WRBB 104.9FM from 2019 to 2021. Earlier in her career, she held positions as a Lab Assistant at Brown University and as an Administrative Assistant at The Neurology Foundation, Inc. These experiences have contributed to her skill set and professional development.
Achievements
Throughout her career, Asiya Rizvi has developed collaborative problem-solving skills by completing most of her projects in pairs. Her strong interest in sustainability influences her approach to data analysis and design, allowing her to contribute to projects that prioritize environmental considerations. Additionally, her keen interest in UX and product design complements her data analysis skills, positioning her as a valuable asset in her field.