PyCon JP 2022

Tabassum Mushtary Meem

Tabassum Mushtary Meem is a Masters student at the Department of Construction Engineering at École de technologie supérieure (ÉTS), Montreal, QC, Canada. Her research focus is on efficiency and sustainability in construction process and automation in building information modelling (BIM).
Meem is a strong believer in the ability of sustainable design and research practices combined with critical thinking for strengthening our communities and having a positive effect on the ecological balance of the world. She is from Bangladesh and is working passionately to encourage women from under developed and developing countries to pursue a career in engineering.


Session

10/15
13:00
30min
Data driven approach to analyze the efficacy of LEED certified buildings using python.
Tabassum Mushtary Meem

Leadership in Energy and Environment Design (LEED) rating system claims to combat the increasing carbon footprint of buildings and certifies the ones with superior energy consumption performance. This talk presents a python led data-driven analysis to determine whether LEED certified buildings have reduced carbon footprint as claimed and test the validity of the LEED rating system.

Machine learning
pyconjp_3