1.
Nabanita Dash
GitHub:dnabanita7 LinkedIn:nabanita07
C/169, Sector-1
Rourkela, India-769008
(+91) 8249665459
dashnabanita@gmail.com
EXPERIENCE
Major League Hacking(GitHub), remote
Intern
June 2020 - Present
● Developed a package for auto-adjustment of brightness using
Julia Language and SciML within 3 days of hackathon.
● Developing vision, language, RL models in Julia in FluxModels.jl
● Adding plot feature in AutoMLPipeline.jl package
● Developed the base for gaming platform for MLH hackathon
PredictivEye Incorporation, Canada
Data Scientist intern
MARCH 2020 - PRESENT
● Working with Google analytics and Ad words data on campaigns
to predict the customer’s visit to the client's website.
● Working on Budget optimization,forecasting of CTR, Impressions
Varidus Scaling Innovation, Singapore
Analyst, Data Science
OCTOBER 2019 - JANUARY 2019
● Created dataset concerning startups growth, IPO, Mergers and
Acquisitions data by web scraping. I had to perform sentiment
analysis on rumor data scraped from different financial websites.
● Developing a model that predicts startups growth and implementing
it on AWS Sagemaker, EC2 instances and Google colaboratory.
Rourkela Steel Plant (Steel Authority of India Limited),
Rourkela, India — Stocks control intern
MAY 2019 - JUNE 2019
● Developed a model using single-directional LSTMs to predict the
stock-price in 1 month and achieved 72.6% accuracy.
● Collaboratively worked in a team to train, evaluate model.
PROJECTS
Sketching images using RNNs
● Developed Encoder-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
● Developed a 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 achieved an accuracy of 85%.
MNIST Autoencoder
● Developed Simple Autoencoder, Sparsity Autoencoder model that
learns from modified MNIST and reproduces digit images using
Python, Keras framework, achieved an accuracy of 97%.
Twitter Sentiment analysis using RNNs
● Developed a model that scrapes data from Twitter and predicts
the emotional belief of users using bag-of-words, LSTM
techniques in Python which achieved an accuracy of 96.2%.
SKILLS
C++/C, Python, Tensorflow,
Pytorch, Keras, Linux, Git,
Shell Scripting, Docker
(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
- GitHub Campus Expert’20
- Google Code-In mentor at
Julia, 2019
- Head of Programming
Society, IIIT, BBS, India
- Chair of ACM Student
Chapter, Bhubaneswar
- Campus Lead at Campustry
- Member of Women
Techmakers, India
- Volunteered at Kaggle Days
and PyJaipur
