Ashutosh Mishra
Pune, India

Hey, I am Ashutosh, deeply interested in data. I love how the Machine Learning, Deep Learning and AI is changing the world. I aim at contributing as much as I can to these fields. I have interned as Data Science intern and Machine Learning intern. My research interests include Generative Adversarial Networks, Attention models, Sequence to Sequence models and Adversarial learning. My current research projects are on Deep representation of visual descriptions and LimbicAI which is an AI that induces emotion like fear into an AI. Apart from my interests in AI I have a keen interest in Japanese Culture and Space. I love reading blogs on space and AI in my free time. My motto : Action speaks better than words. Actually doing the thing is harder than saying. Goals : Short-term : To get as much experience I can get as data scientist. Long-term : Entrepreneurship in AI field.

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Stackoverflow 58 events
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List your work history, including any contracts or internships
Cooee® Full-time
May 2021 - Feb 2023 (1 year 9 months)
Data Scientist
Working on hyper-personalisation domain
Using Genetic Algorithm to dynamically action text and call-action-button on images
Improved user retention for stakeholders by 4.5% sending personalised notifications using reinforcement learning
Generation of unique notification image payload to increase user engagement with the help of genetic algorithms
Faster payload generation by 10% via improved database optimized queries
Exploration on user recency and RFM
python3 machine learning aws
Riverus Full-time
Jun 2019 - May 2021 (1 year 11 months)
Pune Area, India
Associate Data Scientist
• Extraction of high value analytics from Legal Corpus
• Building robust ML pipelines and providing concurrent API end points
• Improving speed of text-based captcha solving by using SOTA object detection
• Improvising fuzzy text matching to be 25% faster on large scale text matching on quoted text from two legal cases
• Building case summarization tool of relative chronology of case proceedings using SOTA transformers based models
• Building a first person reasoning model to identify the polarity of speaker
• Extraction of common provisions, clauses, and data points from contracts
• Building, scaling and deploying an ensemble model of transformer and supervised machine learning algorithms to extract information in form of one-class classification
• Improving in-house API to serve multiple requests and made it faster by 10%
• Built a sentence similarity model to find similar text wrt. context of the text using SOTA NLU techniques
Machine learning deep learning scikit learn
KG LLP Internship
Aug 2018 - Sep 2018 (1 month)
Data Science Intern
Developing Deep Learning models using LSTM, GRU and xgboost to predict the rise and fall of NIFTY.
Working on high frequency time series data to automate the data gathering and prediction.
Developing barriers for uncertainty quantification to external noises.
data science

This section lets you add any degrees or diplomas you have earned.
Indira Gandhi Institute of technology, Sarang(Parjang), Dhenkanal, Orissa
Bachelor of Technology, Computer Science Engineering and Applications
Jan 2015 - Jan 2019
Dav Public School
Higher Secondary, Computer Science
Jan 2013 - Jan 2015
CBSE class 12th Computer Science stream.
Convolutional Neural Networks
Mar 2019
Deep Learning Specialization
Mar 2019
Feature Engineering
Oct 2018

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