Prateek Gundannavar

Senior Data Scientist

South San Francisco, California, United States
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Summary

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Senior
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Top School
Prateek Gundannavar is a Senior Machine Learning Engineer with nine years of experience applying mathematical modeling, statistical signal processing, and data science to biological and engineering problems at Calico Life Sciences. He holds a Ph.D. in Electrical Engineering from Washington University in St. Louis and has a strong research background in sparsity-assisted denoising, time-series pattern recognition, and gait analysis for Parkinson’s disease. At Calico he partners cross-functionally with researchers and engineers to translate analytical methods into collaborative research projects that span biology and computation. Earlier roles include leading model-based engineering efforts at Rockwell Collins and sensor-driven navigation and classification projects at IISc, reflecting a practical bent for applied signal processing. Known for blending rigorous academic training with production-focused solutions, he brings both hands-on algorithm development and interdisciplinary collaboration to complex inference problems.
code8 years of coding experience
job12 years of employment as a software developer
bookDoctor of Philosophy (PhD), Electrical and Electronics Engineering, Doctor of Philosophy (PhD), Electrical and Electronics Engineering at Washington University in St. Louis
bookB.Tech, Electronics and Communication, B.Tech, Electronics and Communication at International Institute of Information Technology
languagesTelugu, Hindi, Kannada, English
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Github Skills (29)

python9
machine-learning9
deep-learning8
cycle8
tensorflow8
data-science7
neural-network7
denoising7
biomedical6
orange6
transcriptomics6
wavelet6
cancer-genomics6
bioinformatics5
segmentation5

Programming languages (5)

RC++MATLABPythonMatlab

Github contributions (5)

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prateekgv/sasdpr

Jun 2019 - Jun 2021

Contributions:18 commits, 7 pushes in 1 year 11 months
prateekgv/sawd_gcvs

Nov 2019 - Jun 2021

Sparsity-assisted wavelet denoising for gait cycle validation and segmentation using inertial sensors.
Contributions:10 commits, 2 PRs, 3 pushes in 1 year 6 months
segmentationwaveletgaitsensorsvalidation
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