Sara Malvar
Research Software Engineer (ML) @ Microsoft Research8+ years of experience with Machine Learning and Data Science
Services
$260 / month
Up to 2 calls per month
Unlimited Q&A via chat
Expect responses in 2 days
Tasks & exercises
Flat fee, no hidden costs
7 day free trial! Cancel anytime.
No spots left, but you can save the mentor to your wishlist to get notified about their open spots!
Up to 2 calls per month
Unlimited Q&A via chat
Expect responses in 2 days
Hands-on support
No spots left, but you can save the mentor to your wishlist to get notified about their open spots!
About
I'm an electrical engineer with 8+ years of experience with data analytics (IBM). I have a master degree and Ph.D. degree in Engineering. I've been working as mentor for Udacity for the last 3 years and I'm an instructor at Data Science Dojo. I've been a consultant for Shell, Fastshop, Symrise and Petrobras and other companies working on ML and DL.
I'm currently @ Microsoft Research as a Research Software Development Engineer and helped over 300 students to succeed in DS and ML ecosystem.
To make sure we are a perfect match, please send a request or a message on LinkedIn.
What mentees say
Karthikeyan
on5 out of 5 stars
A very skilled mentor in the area of machine learning and data science and specialized in the area of sensor data analytics. Her deep research skills are very evident from the fact that she was almost able to nail down the problem that I was facing. Would love to work with her anytime. Thank you.
Yalim
onVery informative and promising. Looking forward to creating a project with her help in the future.
Wojtek
onSara is an excellent mentor. She is very knowledgeable in her field and offers expert guidance. She also has excellent interpersonal skills.
Get to know Sara
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ArticleSara Malvar – Meet the Mentor
Sara is a Research Software Engineer at Microsoft Research with 8+ years of experience in industry and academia. Besides having …
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VideoMachine Learning for Signal Processing: Data Compression and Denoising
In this meetup, we will understand how to use machine learning tools for signal processing. In particular: data compression and …
