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Information Technology Data

Bloomington, Indiana, United States
January 11, 2017

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**** **** ****** *****, ***********, IN 47408 + 1 (812) ***-**** GitHub LinkedIn


M.S. in Data Science (GPA: 3.61/4.00) December 2016

Indiana University Bloomington, IN B.E. in Information Technology May 2013

University of Pune MH, India


Cloud Computing

Machine Learning

Natural Language Processing

Matrix Algebra

Probability Theory

Exploratory Data Analysis

Data Structures

Distributed Systems

Design and Analysis of Algorithms


NASA, JPL: Geo-gateway

Modernized a full stack application and automated process to deploy RESTful service for geospatial time series.

Improved speed of execution by a factor of 20 times by designing an intricate database for 80 million data points.

Bhame V, Sreemathy R, Dhumal H. Vision Based Hand Gesture Recognition Using Eccentric Approach for Human Computer Interaction in International Conference on Advances in Computing, Communications and Informatics 2014 (949 – 953), DOI 10.1109/ICACCI.2014.6968545.


Data Scientist Intern August 2016 – December 2016

Poetry Limited Bloomington, US

Classified real-estate properties and presented visualizations of time series to stakeholders.

Ranked in top 10 from 180 teams in JBFG hackathon.

Research Engineer April 2014 - June 2015

Hyper-Ions Research Lab Pvt. Ltd Pune, India

Recognized patterns in automobile driving using 3D geometry and analyzing geospatial time series.

Enhanced performance by 35% by optimizing implementation of Principal Component Analysis.

Software Engineer September 2013 - March 2014

Motion Vista Pune, India

Acquired understanding and ability to implement algorithms in computer vision and machine learning.

Experienced client interaction (VoC) and collaborated with global engineering teams.


Deep Learning for Sentiment Analysis [Python, Pandas, Plotly] Summer 2016

Analyzed Yelp user generated text reviews to understand sentiments and use of sarcasm.

Performed data wrangling for data with 2.2 million records. Used NLP techniques for data preprocessing and hand crafted features. Evaluated data mining techniques like SVM, Naive Bayes against neural network- LSTM.

Awarded second position in Indiana University Data Science Summer Camp.

Search Engine [Java, Apache Hadoop, Apache HBase, Linux] Spring 2016

Developed a search engine using distributed framework that fetches webpages based on search key.

Designed an iterative MapReduce model for implementation of the PageRank algorithm and IDF table on webclue09 database. Persisted the output in HBase tables which were queried to get search results.

Charles Darwin's Information Foraging [R, Tableau] Fall 2015

Analyzed unstructured text to identify epochs in reading style of celebrated scientist Charles Darwin.

Generated topics using LDA, evaluated dissimilarity metrics, reduced dimensions to optimal number.

Compared clustering techniques: model based clustering and kmeans (Lloyd’s Algorithm).


Statistical tools

R, MATLAB, Octave, Stata, KNIME, Microsoft Excel

Programming languages

C, Java, Python, HTML5, JavaScript, C#

Big Data Skills

Hadoop, HBase, Map Reduce, OpenStack, Ansible, AWS, Docker

Libraries/ Tools

Microsoft Office, OpenCV, NumPy, Scikit, NLTK, Pandas, Gensim, Theano, Caffe, Unity


MongoDB, MySQL, Microsoft Access, Oracle


Tableau, D3, Plotly, Ggplot


Stanford Machine Learning (96.1%)

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