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Machine Learning,Data Science,Social Media Mining,Statistics,Analyst

Columbus, Indiana, United States
November 14, 2017

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Hemanth Sharma Musty

LinkedIn: E: P: 812-***-****


Data Science graduate student with a strong background in Statistics, Machine Learning and Artificial Intelligence. Passionate individual to use Data to answer complex questions and explain data science to non-technical and business audiences


M.S in Data Science, Indiana University Bloomington Aug 2016 – Dec 2017

B.Tech in Electronics and Instrumentation Engineering, SASTRA University, India Jun 2007 – Jun 2011


User Booking Prediction: Predicted the country of user’s first booking for Airbnb using various machine learning algorithms. Random Forest XGboost

Manual and fine-tuned Implementation: Expectation Maximization K Nearest Neighbor K-means Linear and Logistic regressions Naïve Bayes manually without using R packages

Sentiment Analysis: Collected the twitter data from top 10 cities in India and analyzed the sentiment on various mobile phone brands using python and compared with the sales. Twitter Data Analysis Sentiment Analysis Python Social Media Mining

Semantic Search System for Epidemics: Using linked data and Word2vec model to create a semantic search system for epidemics. Semantic Search Word2vec

Search engine page ranking using MapReduce: Developed a search engine that retrieves top URLs for a given keyword using MapReduce Model. Search Engine Page Ranking MapReduce


IT Analyst, Tata Consultancy Services Jul 2011- Present

Over 6 years of diversified experience in all phases of the Software Development Life Cycle (SDLC).

Developed, Supported and Implemented Manufacturing Intelligence Solution in Cummins Inc using Apriso Flexnet 9.5 and 2017, which is a manufacturing intelligence software.

Worked with large data sets in Oracle 11G to troubleshoot discrepancies in data and to create dashboards, reports and visualizations using PL/SQL, Python and JavaScript

Created an Audit software using Python to verify the configurations in the production environments

Lead a team for supporting a Labor Standards software suite called EASE and successfully upgraded in 36 production environments across the globe

As System Admin, took up the responsibility in setting up the Lab and maintaining the inventory according to the Reference Architecture

Leading the onsite global support team for to provide Production support 24x7 for attending and troubleshooting critical defects


Programming Languages & Software

Python (Scikit-learn, Numpy, Scipy, Pandas), R, PL/SQL, XQuery, LaTeX, BaseX, protégé, Oxygen XML Editor, GitHub, MS SQL 2008 Studio, Delmia Apriso 9.3/9.5/2017, MS Access, SQL Developer, Toad

Data Science

Social Media Mining Statistics Data Mining Machine Learning Cloud Computing Artificial Intelligence

Machine Learning

K-Means, Expectation Maximization, K Nearest Neighbor, Linear and Logistic regressions, Naïve Bayes,Random Forest,XGBoost,Decision Tree

Statistical Models

Linear/Logistic Regression Models,Hypothesis Testing, Principal Component Analysis, Dimensionality Reduction, Confidence Intervals

Artificial Intelligence

Breadth/Depth/Iterative first Search, A-Star, Minimax, Hidden Markov Models,Viterbi, Naïve Bayes, Alpha-Beta

Data Visualization

Tableau, Splunk,Plotly,

Web Technologies

HTML, JavaScript,CSS

Project Management



Manufacturing Operations Management, Cummins Manufacturing Executions Systems Certified

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