Tanaya Babtiwale
Student
Mumbai | 09967575375 | tanaya.babtiwale98@gmail.com
linkedin.com/in/tanayababtiwale/linkedin.com/in/tanayababtiwale/
Work Experience
IBM Research Labs- India |
Apr 2020 - Aug 2020 |
Research Intern |
|
Ongoing - Conduct research in Reasoning for Natural Language Interpretation for Databases.
Mahindra & Mahindra, Mumbai. |
May 2019 - Jul 2019 |
NLP Intern |
|
Designed a Business Card Reader System (leveraging NLP and Computer Vision in Python language).
Led deployment of Business Card Reader System.
Prepared a Software Requirement Specification documentation elaborating on the procedure.
Generated innovative rules for text retrieval and latency handling. Developed a chatbot in RASA for Election FAQs.
Episodic Labs, Ahmedabad. |
May 2018 - Jul 2018 |
Natural Language Processing Intern |
|
Generate humanized commentary from cricket match statistics with 76% accuracy, for product BEMRR, by Natural Language Generation with Python and Deep Learning using Tensorflow.
Reviewed popular scientific articles, techniques, and modules in NLP -
Garnered usage efficiency in SpaCy Implemented an Image Caption Generator.
FoodieLog |
2015 |
Founder |
|
Successful social media management and brand value creation on Zomato, Instagram and multiple blogging websites.
Research Experience
NER for Regional Language - Marathi
Final Year Project (Ongoing)
Application of
Built SOTA Architecture for News Headline Classification in the Marathi Language (91% Accuracy)
Developed models operating on BERT for NER and Sentiment Analysis in the Marathi Language
Built corpora to aid NLP tasks such as NER, Sentiment Analysis, News Classification for
Demonstrated a Language library for Marathi involving said tasks, along with preprocessing,
Deployed an Android application to exhibit working of individual modules. Generated ontology and taxonomy from
Chatbot for Suicide Prevention
NLP - Python, Django, Deep Learning
Conceptualized a chatbot aimed at
Emotion Detection
Computer Vision - Python, Machine Learning
Introduced a new algorithm:
Streamlined LBPH and Fisherface techniques for optimal feature detection.
Capsule Networks for Scene Understanding
Computer Vision - Deep Learning
Researched on Capsule Networks for Semantic Segmentation.
Leveraged CapsNet for Scene parsing and context mapping.
Eyelog
Computer Vision - Java, Tensorflow, Android Studio
Deployed an Android Application for Object Detection and Recognition for visually impaired. Secured Rank 2 in NMIMS' App Development Competition.
Unbeatable
Game Theory - C++
Education
NMIMS' Mukesh Patel School of Technology Management and Engineering
B.Tech - Computer Engineering
Spoken Languages
English, Marathi, Hindi, German [B1], Sanskrit
Publications
Scientific article on 'Use of Capsule Networks in Scene Understanding' - IEEE 2019 Scientific article on 'Review of SOTA Language Models for Marathi'
Copyright on project ideation and working of Chatbot for Suicide Prevention
Research Paper on ' Modern Architectures and Marathi' {to be published}
Research Paper on ' Visual Sentiment Analysis -
Scientific article on 'A Comparative Review of
Distributed File System Designs' |
{to be |
published} |
|
General Skills
Artificial Intelligence (AI),
Deep Learning/ Machine Learning (DL/ML),
Neural Networks
Computer Vision,
Image Processing and Analytics,
Linguistics- Phonetics & Phonology,
Computational Linguistics,
Natural Language Processing
Data Structures and Algorithm Analysis,
Software Development and Engineering,
Data Scraping
Six Sigma Approach and Methodolgies
Programming Languages
Proficient: Advanced Python, Advanced C++,
Prolog
Familiar: C, Java, JavaScript, R
Tools and Frameworks
Libraries: PyTorch, NLTK, Scikit, Ca e, Tensor ow, Theano, OpenCV, Django, SpaCy, Numpy, Pandas, Keras, Seaborn, SpaCy, BeautifulSoup, Flask
Architectures: CNN, RNN, LSTM, BERT, XLNet, Capsule Networks, Autoencoders
DB: MySQL, MongoDB, PostgreSQL
Tools : PowerBI, SAS, Excel. RASA NLU. Tableau, MATLAB, GNU Octave, Git, Android Studio, StarUML
Web Development: HTML/XHTML, CSS, Javascript, AngularJS, JQuery, PHP, Bootstrap
Implemented a computational comparison between NegaMax, Minimax, A* search techniques to generate
minimal latency results with maximum success rate.
PyTorch Scholarship Challenge by Facebook
Udacity.
Completed following tasks therein-
Predicting
Dog Breed Classifier
Generating TV Scripts
Generating Faces
Deploying a Sentiment Analysis Model
Pet Project Implementations
NLP - Python, Machine Learning, Deep Learning
Capsule Networks for Text Classification
XLNet for NER
Author Classification aided by Generalized Discriminant Analysis
Smartphone Popularity Prediction
Extracurriculars
Founder and Owner of Foodielog and a competent Food Critic and Food Blogger in Mumbai.
A seasoned and successful participant in Model United Nations held across the country.
Part of the Basketball Team of MPSTME, YMCA, and Rajhans Vidyalaya. - nominated for playing Nationals representing Mumbai North in 2015.
An International Level participant in MARRS International Spelling Bee.
Executive in Artist and Guest List Management team in the cultural festival for college 'Sattva'
Created with
Certifications
Six Sigma - Certified Green Belt
'Phonetics and Phonology' from University of Mumbai
'AI: Search Techniques for Problem Solving' by NPTEL in association with IIT Madras under Prof. Deepak Khemani with First Class.
'Academic Alliance, Cloud Infrastructure and Services v2' by DELL EMC with 94% Batch Rank: 1
'Campus Connect - Python, MySQL' by Infosys with 92% Batch Rank: 2
CS224n : NLP - Stanford University
Machine Learning : Andrew Ng
Deep Learning : Andrew Ng
A First Course on Deep Learning : PadhAI PyTorch Nanodegree - Udacity
Society Memberships
Team Robocon - (now Team Nautilus)
Team
Institution of Electronics and
Telecommunication Engineers [IETE]
Women Techmakers
Facebook Developer Circles
School of AI