Engineering Assistant

SHREE RANGA RAJU

**************@*****.*** https://github.com/shree-ranga

Please email for address and phone number.

EDUCATION

University of Waterloo Sept 2013 - Dec 2015

M.Eng, Systems Design Engineering Waterloo, Canada Sri Jayachamarajendra College of Engineering Sept 2007 - Aug 2011 B.E, Electrical and Electronics Engineering Mysore, India EXPERIENCE

Indian Institute of Science, Dept. of ECE. Research Assistant Oct 2011 - May 2013

Research focus on sparse signal recovery algorithms for compressed sensing. Bangalore, India

Reproduced and analyzed results of various research papers.

Developed a novel method for sparse signal recovery based on Gini-Index. SELECTED PROJECTS

Sentiment Analysis

Twitter sentiment analysis based on 1.6 million tweets.

Used Logistic Regression to classify positive and negative tweets.

Obtained an accuracy of 82.40% on test set.

Hand-Written Digit Recognizer (End-to-End model)

Implemented a deep learning model (CNN) to classify handwritten digits in Keras.

Obtained an accuracy of 99.15% on the test set.

Find the app at https://mnist-web-shree.herokuapp.com/. Twitter Top News

Obtained 1000 raw tweets from 10 news company handlers using python Twitter API (tweepy).

Clustered tweets belonging to the same topic using hierarchical clustering algorithm.

Ranked clusters based on part-of-speech tags and term frequencies. Predictive Analysis - Data Science Take-Home Challenges

Implemented solutions in Python to the book \Collection of Data Science TakeHome Challenges".

Tasks include conversion rate prediction, pricing test analysis, funnel analysis etc.

Mostly used Random Forests for prediction and K-means for clustering tasks. TECHNICAL SKILLS

Computer Languages Python, Java, Matlab, JavaScript, HTML, CSS Database SQL, NoSQL(MongoDB)

Tools Numpy, Scipy, Pandas, Scikit-learn, Matplotlib, TensorFlow, Keras, Flask Operating Systems Linux, Windows, MacOS

Relevant Coursework Machine Intelligence, Introduction to AI, Pattern Recognition, Image Processing

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