“Ashwini joined the NLP research team for a 3 month contract. Even though she was not familiar with building data pipelines for ML model feedback loops, she quickly learned and helped the team. Her contributions leveraged python, Databricks and Snorkel. She has a great work attitude and she's a team player. I recommend considering her for ML engineering positions.”
San Francisco, California, United States
Contact Info
3K followers
500+ connections
About
Activity
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After three years, I am delighted to hand over the reins of Department Chair of the Computer Science Department at USF to Chris Brooks. It has been…
After three years, I am delighted to hand over the reins of Department Chair of the Computer Science Department at USF to Chris Brooks. It has been…
Liked by Ashwini Badgujar
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I am so excited to announce that today is Day 1 at Roblox as their Employee Relations Program Manager where I will be helping build out the Employee…
I am so excited to announce that today is Day 1 at Roblox as their Employee Relations Program Manager where I will be helping build out the Employee…
Liked by Ashwini Badgujar
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Hello world, I just wanted to give thanks to everyone involved in bringing me into Tiger Analytics, my recruitment advisor Rupal Gandhi has been a…
Hello world, I just wanted to give thanks to everyone involved in bringing me into Tiger Analytics, my recruitment advisor Rupal Gandhi has been a…
Liked by Ashwini Badgujar
Experience & Education
Licenses & Certifications
Publications
Projects
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Quantum Criticism
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- Worked on Natural Language Processing techniques like Entity Recognition and Sentiment Analysis.
- The main idea of the project was to find biasness about a particular person, place, organization by the
news agencies.
- Used tools like vader and CoreNLP for Sentiment Analysis and Entity Recognition with NLTK and
SpaCy.
- Architected the schemas for project database and was solely responsible for the data pipeline using
Amazon EC2 and RDS.
- We tagged…- Worked on Natural Language Processing techniques like Entity Recognition and Sentiment Analysis.
- The main idea of the project was to find biasness about a particular person, place, organization by the
news agencies.
- Used tools like vader and CoreNLP for Sentiment Analysis and Entity Recognition with NLTK and
SpaCy.
- Architected the schemas for project database and was solely responsible for the data pipeline using
Amazon EC2 and RDS.
- We tagged around 1.5 million articles and calculated sentiment analysis with some amazing
observations. -
Finding Gravitational Lenses
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- Worked on a classification problem for classifying "Lens" and "Non-Lens" with 98% accuracy.
- Lens are the galaxies which are capable of bending light due to gravitational field around them.
- Worked on Tensorflow and Keras model which found around 1000-1500 new lenses in the universe.
Organizations
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Machine Learning, Artificial and Gaming Intelligence, and Computing at Scale (MAGICS) Research Lab
Senior Researcher
- Present
Recommendations received
3 people have recommended Ashwini
Join now to viewMore activity by Ashwini
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🙏🙏🙏Thanks to Alice Lin, Ishita Chaudhary and the amazing team at DeepLearning.AI who partner with us on so many initiatives. They just sent me…
🙏🙏🙏Thanks to Alice Lin, Ishita Chaudhary and the amazing team at DeepLearning.AI who partner with us on so many initiatives. They just sent me…
Liked by Ashwini Badgujar
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🙌🏽Congratulations to our inspiring cohort of graduates from our MLOps and Systems program who completed the 12-week program this past Saturday…
🙌🏽Congratulations to our inspiring cohort of graduates from our MLOps and Systems program who completed the 12-week program this past Saturday…
Liked by Ashwini Badgujar
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