Data Scientist, Cloud Solution Architect, Machine Learning Algorithm Research Engineer
Skills
Research
Genomics
Cancer
Experiences
10 years 6 months
Northwestern Medicine
Oct 2021 - Current
Azure Data Science Solution Architect
Performing R&D of Deep Learning models for non-invasive cardiac monitoring sensors
Kaggle
Jan 2015 - Current
Kaggler, a Machine Learning Competition Expert
"Competition Expert", Highest Rank 553 (< top 1%)
Few Mentions:
• Top 21 %, Santa's Workshop Tour 2019 (combinatorics optimization)
• Top 12 %, March 2018, Toxic Comment Classification Challenge by Alphabet
• Top 10 %, January 2018, Zillow Prize: Zillow's Home Value Prediction
• Top 5 %, July 2017, Mercedes-Benz Greener Manufacturing
Link to web: kaggle.com/mineshjethva
Using Discrete Optimization, Deep Learning, Natural Language Processing, Image Processing, Signal Processing and classical machine learning algorithms including random forest, xgboost
Self Employed
Nov 2020 - Jan 2021
Data Engineering, Cloud and MLOps Consultant
- Helping to design end to end pipeline for domain specific AutoML
- Machine Learning Competition platform with gamification for user engagement
DrivenData
Nov 2020 - Jan 2021
Data Science Competitor
Got into top 10% for MagNet: Model the Geomagnetic Field Competition sponsored BY NOAA & NASA to predict daily solar radiation index.
InnoQuantrics
Jun 2020 - Jan 2021
Machine Learning Specialist
Upwork
Jan 2015 - Jan 2021
Data Science Consultant
Self Employed
Jul 2020 - Sep 2020
Healthcare AI Consultant
- Developed research document retrieval system using content-ontology based query and recommendation with the help of NLP, knowledge management and deep learning on big-data cloud environment
Education
Ben-Gurion University of the Negev
Jan 2016 - Jan 2019
PhD Researcher for Bioinformatics
Cancer Immunology and Precision Medicine
National Institute Of Virology - India
Jan 2013 - Jan 2014
Bioinformatics Research Student
Biomathematics, Bioinformatics, and Computational Biology
Portfolio
No Portfolio added yet
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