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java, python, C++, C, MySQL

Delhi, India
February 19, 2020

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Ratnesh Chandak


Ratnesh Chandak - Linkedin

Ratnesh Chandak- Github


Bank of America, Hyderabad

- Sr. Tech Associate July 2016 - August 2017

Design and worked on product development in Java and Microsoft SQL Server.

GoLive Gaming Solutions Pvt. Ltd., Hyderabad

- Internship May 2015 - July 2015

Database Analysis and design using MySQL. Design and worked on building RESTful API for GoLive servers in Java and Spring Technology Institute of Development in Banking Technology(IDRBT), Hyderabad (established by RBI)

- Project Trainee May 2014 - June 2014

Designed and implemented unsupervised algorithm, K-Means clustering for a small dataset. Also discovered optimal ‘K’, using the Elbow method. PROJECTS

Sentiment Analysis - “Mining and Summarizing Customer Reviews”

With an increasing number of user feedbacks, it is not possible to read each and every review, to solve this problem, we summarized the reviews along with their sentiments. Initially we tagged sentences into nouns, adjectives, etc., for that we used Stanford Part of Speech Tagger Then we find out most frequent occurring feature(noun), and we applied association rule mining Then we find out positive and negative orientation of those features with the help of adjectives and we extended the list of adjectives with the help of wordnet. Then we generated scores for each sentences and summarized the result

Identifying content of planned events from Twitter For any planned events, we tried to validate event information from twitter. We used twitter API to query Twitter, and after analysing tweets, we extracted bigrams, trigrams, URL, hashtags for the event and with their help, we query Twitter to get most relevant information about the event. Later, we validated our information with the event information. EDUCATION

Indian Institute of Technology(IIT),


July 2012 - July 2016

B.Tech in Computer Science and Engineering,

CGPA: 7.55

UPSC Civil Service Preparation

September 2017 - December 2019


Machine Learning

By Dan Becker on kaggle and Alexis Cook,

Jan-Feb 2020


By Aleksey Bilogur on kaggle, Jan-Feb 2020

Machine Learning by Andrew Ng

Stanford University on Coursera,

Jan 2020-present


Python, Java, C++, C, MySQL, Octave,

Git, Pandas, Matlab, Shell Script


Runner up in Wells Fargo Protothon 2015

which is business challenge competition

Secured ALL India Rank of 1922 in IIT-JEE


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