Python, Data Science, Java, SQL, Machine learning

Ratnesh Chandak CONTACT

+91-879**-*****

*******.*******@*****.***

connect via Linkedin

Github Profile

EXPERIENCE

Bank of America, Hyderabad

- Sr. Tech Associate July 2016 - August 2017

Worked on product development and design in Java and Microsoft SQL Server.

GoLive Gaming Solutions Pvt. Ltd., Hyderabad

- Internship May 2015 - July 2015

Database Analysis and design using MySQL. Worked on building RESTful API for GoLive servers in Java and Spring Technology.

Institute of Development and Research in Banking

Technology(IDRBT), Hyderabad (established by RBI)

- Project Trainee May 2014 - June 2014

Designed and implemented unsupervised algorithm, K-Means clustering and 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. We used the Stanford Part of Speech Tagger to get part of speech of each word. We extracted features using Association rule mining. And for each of the sentences we found its orientation by checking adjectives related to our extracted features and later 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),

Hyderabad

July 2012 - July 2016

B.Tech in Computer Science and Engineering,

CGPA: 7.55

UPSC Civil Service Preparation

September 2017 - December 2019

CERTIFICATES

Neural Network & Deep Learning

By Andrew Ng on Coursera, Mar 2020

Pandas

By Aleksey Bilogur on Kaggle, Jan-Feb 2020

Machine Learning by Andrew Ng

Stanford University on Coursera, Jan-Feb 2020

Data Visualization using Seaborn

By Alexis Cook on Kaggle, Feb 2020

SKILLS

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

Git, Pandas, Matlab, SVN, Seaborn

ACHIEVEMENTS

Runner up in Wells Fargo Campus Protothon

2015 which is business challenge competition

Secured ALL India Rank of 1922 in IIT-JEE

2012

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