Mansi Shah

Mansi Shah is a data scientist, flutist, and environmentalist whose work explores the spaces where artistic rigor and technical curiosity collide. She believes data (like art!) imitates life, and is interested in the profoundly human stories behind the numbers and notes. Mansi has over 10 years of experience as an artist and performer, connecting to diverse audiences through words and music. Mansi has performed in plays, directed ensembles, hosted concerts, and given lectures on topics ranging from creative applications of cloud native geospatial technologies to celebrating diversity in the arts. Her most recent public speaking work includes technical Python tutorials presented at both SciPy 2022 and the Spatial Data Science Conference 2022. In addition, her interdisciplinary project Counterpoints premiered at the Data Through Design 2022 exhibition in NYC and brings together her geospatial and musical perspectives. Mansi works for Planet Labs as a software engineer, helping make the power of daily global satellite imagery more accessible to all.

Website: https://www.iammansi.com/