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Nabanita Dash
GitHub:Naba7 LinkedIn:nabanita07 Kaggle:chad7
C/169, Sector-1
Rourkela, India-769008
(+91) 8249665459
dashnabanita@gmail.com
EXPERIENCE
Rourkela Steel Plant (Steel Authority of India Limited),
Rourkela, India — Stocks control intern
MAY 2019 - JUNE 2019
● Developeda model using single-directional LSTMs to predict the
stock-price in 1 month and achieved72.6% accuracy.
● Collaboratively worked in a team to train, evaluate model.
NALCO Damanjodi Private Limited, Damanjodi, India —
Web-developer intern
JUNE 2018 - JULY 2018
● Learnt VB,.NETand improvedNALCO's website by adding more
linked pages and Updates section in 2 weeks.
● Collaboratively worked in a team on developingwebsite for easy
and accessible handling of information for all.
PROJECTS
Sketching images using RNNs
● DevelopedEncoder-Decoder model to learn from sketch strokes,
redraw images using Python, Tensorflow with accuracy 82.6%.
● Low quality sketch-strokes, blunt-edges were major challenges.
Style transfer
● Developeda model that can create new images by mixing
abstractions and outlines of one image and colour and styling of
another image with better optimization techniques using
Python,Pytorch framework, which achievedan accuracy of 85%.
MNIST Autoencoder
● DevelopedSimple Autoencoder, Sparsity Autoencoder model that
learns from modified MNIST and reproduces digit images using
Python, Keras framework, achievedan accuracy of 97%.
Twitter Sentiment analysis using RNNs
● Developeda model that scrapes data from Twitter and predicts
the emotional belief of users using bag-of-words, LSTM
techniques in Python which achievedan accuracy of 96.2%.
OPEN SOURCE CONTRIBUTIONS
Bash Autocomplete script for iterative/ DVC
● Createda bash autocomplete script for open-source DVC.
● Developing Markdown documentation usingdillinger.io for
DVC.org which explains data versioning like Git version control.
Code-base blog for yellowbrick, NumFocus
● Implementedregression model usingyellowbrick with accuracy
of 89.5% which got accolades from NumFocus and yellowbrick.
SKILLS
C++/C, Python,
Tensorflow, Pytorch, Keras,
Linux, Git, Shell Scripting
(Advanced)
Java, Ruby, Julia,
Bash, Statistics, Linear
Algebra, SQL, Tableau,
ARIMA,
BigQuery,(Intermediate)
EDUCATION
- International Institute
of Information
Technology,
Bhubaneswar, India —
Bachelor of Technology in
Computer Science and
Engineering
AUGUST 2017 - PRESENT
CGPA : 7.6
- Ispat English Medium
School, Rourkela, India
— Senior Secondary, ISC
JULY 2015 - JUNE 2017
PERCENTAGE : 89.6%
- Ispat English Medium
School, Rourkela, India
— Secondary, ICSE
JULY 2005 - JUNE 2015
PERCENTAGE : 97.6%
AWARDS
- Head of Programming
Society, IIIT, BBS, India
- Placed in Top 12 in DVC and
Top 15in DVC.org.
- Received scholarship from
Facebook-Udacity on Secure
and Private AI.
● Createda code-base blog describing and implementing
yellowbrick in the regression model which detects crime in U.S.
- Member of ACM India and
ACM India Bhubaneswar.
- Secured Rank 12 Regional
Mathematics Olympiad.

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Nabanita Dash Resume

  • 1. Nabanita Dash GitHub:Naba7 LinkedIn:nabanita07 Kaggle:chad7 C/169, Sector-1 Rourkela, India-769008 (+91) 8249665459 dashnabanita@gmail.com EXPERIENCE Rourkela Steel Plant (Steel Authority of India Limited), Rourkela, India — Stocks control intern MAY 2019 - JUNE 2019 ● Developeda model using single-directional LSTMs to predict the stock-price in 1 month and achieved72.6% accuracy. ● Collaboratively worked in a team to train, evaluate model. NALCO Damanjodi Private Limited, Damanjodi, India — Web-developer intern JUNE 2018 - JULY 2018 ● Learnt VB,.NETand improvedNALCO's website by adding more linked pages and Updates section in 2 weeks. ● Collaboratively worked in a team on developingwebsite for easy and accessible handling of information for all. PROJECTS Sketching images using RNNs ● DevelopedEncoder-Decoder model to learn from sketch strokes, redraw images using Python, Tensorflow with accuracy 82.6%. ● Low quality sketch-strokes, blunt-edges were major challenges. Style transfer ● Developeda model that can create new images by mixing abstractions and outlines of one image and colour and styling of another image with better optimization techniques using Python,Pytorch framework, which achievedan accuracy of 85%. MNIST Autoencoder ● DevelopedSimple Autoencoder, Sparsity Autoencoder model that learns from modified MNIST and reproduces digit images using Python, Keras framework, achievedan accuracy of 97%. Twitter Sentiment analysis using RNNs ● Developeda model that scrapes data from Twitter and predicts the emotional belief of users using bag-of-words, LSTM techniques in Python which achievedan accuracy of 96.2%. OPEN SOURCE CONTRIBUTIONS Bash Autocomplete script for iterative/ DVC ● Createda bash autocomplete script for open-source DVC. ● Developing Markdown documentation usingdillinger.io for DVC.org which explains data versioning like Git version control. Code-base blog for yellowbrick, NumFocus ● Implementedregression model usingyellowbrick with accuracy of 89.5% which got accolades from NumFocus and yellowbrick. SKILLS C++/C, Python, Tensorflow, Pytorch, Keras, Linux, Git, Shell Scripting (Advanced) Java, Ruby, Julia, Bash, Statistics, Linear Algebra, SQL, Tableau, ARIMA, BigQuery,(Intermediate) EDUCATION - International Institute of Information Technology, Bhubaneswar, India — Bachelor of Technology in Computer Science and Engineering AUGUST 2017 - PRESENT CGPA : 7.6 - Ispat English Medium School, Rourkela, India — Senior Secondary, ISC JULY 2015 - JUNE 2017 PERCENTAGE : 89.6% - Ispat English Medium School, Rourkela, India — Secondary, ICSE JULY 2005 - JUNE 2015 PERCENTAGE : 97.6% AWARDS - Head of Programming Society, IIIT, BBS, India - Placed in Top 12 in DVC and Top 15in DVC.org. - Received scholarship from Facebook-Udacity on Secure and Private AI.
  • 2. ● Createda code-base blog describing and implementing yellowbrick in the regression model which detects crime in U.S. - Member of ACM India and ACM India Bhubaneswar. - Secured Rank 12 Regional Mathematics Olympiad.