Sandra D
Adjunct Professor at BITLAB-IT
Mexico
Summary
👤
Senior🎓
Top SchoolSandra D is an adjunct professor and cofounder with eight years of experience applying data science, informatics, and systems engineering to healthcare and IoT challenges. She teaches Business Intelligence and mentors AWS adoption while leading a consultancy that has implemented electronic health records, medical engineering support, and remote IoT/green energy infrastructures. Obsessed with actionable insights, she blends hands-on network and AV integration across major hardware brands with AI and computer vision expertise from graduate study and ongoing PhD work. Her practical focus on regulatory compliance (NOM-024-SSA3-2010) and hospital IT operations distinguishes her from typical data scientists. Equally comfortable in the classroom and in the datacenter, she builds tools that translate complex clinical data into operational improvements. Based in Mexico, she pairs technical depth with entrepreneurial drive to deliver measurable improvements in healthcare service delivery.
8 years of coding experience
The National Polytechnic Institute of MexicoDiploma of Education, Neuro-linguistic programming (NLP), Diploma of Education, Neuro-linguistic programming (NLP) at Centro Mexicano de Programación NeurolingüísticaBachelor of Engineering - BE, Electrical, Electronics and Communications Engineering, Bachelor of Engineering - BE, Electrical, Electronics and Communications Engineering at Instituto Tecnológico de Celaya
English, Spanish
Github Skills (27)
slack-integration9
github-app8
conversations7
bit5
slack5
64-bit5
lgpl4
image-viewer4
viewer4
medical4
deep-learning3
jpeg3
python3
dicom3
vtk3
Programming languages (2)
Github contributions (5)
hector-sab/2018-09_DeepLearning
Aug 2018 - Nov 2018
Contributions:36 commits, 1 push in 3 months
Laboratorio-imagenes-CICATAQro/Taller-DL-2018
Oct 2018 - Feb 2020
Material del taller de Deep Learning. CICATA Qro. 2018.
Contributions:1 PR, 16 pushes, 1 branch in 1 year 4 months
pythondeep-learningmachine-learningtensorflowtaller
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