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Data Mining, Statistical Analysis, MS office

Bloomington, Indiana, United States
January 13, 2018

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Bharat Mallala

*** * ********** *****, ***********, IN 47408 812-***-****


Indiana University, Bloomington, IN, USA May 2018

Master of Science, Data Science, GPA: 3.74/4

Relevant Coursework and Training: Data Mining, Statistical Analysis, Hypothesis testing, Big Data, Machine Learning, Information Visualization, Categorical Data Analysis, Social Media Mining, Information Processing, ETL, Data Manipulation, Data Analytics, Algorithm Design, Database, SQL Server, MYSQL, Time Series Analysis, Artificial Intelligence, and Pattern Recognition. Vellore Institute of Technology, Vellore, India May 2016 Bachelor of Technology, Computer Science, CGPA: 8.42/10 TECHNICAL SKILL SET

Programming: R, Python, C, C++, Data Structures, MYSQL, SQL Server, HBase, Database Big data: HDFS, Map Reduce, PIG, Hive, HBase, SQOOP, Flume, Scala IDE and Visualizations: Eclipse IDE, Linux Command shell, Git, Microsoft Office Suite, Gephi, Tableau, Sci2 PROFESSIONAL EXPERIENCE

ASSISTANT INSTRUCTOR INDIANA UNIVERSITY, Bloomington, Indiana Jan 2017 – Present

• Assisting Professor in coursework and grading assignments for 50+ students in python programming course

• Assisting a lab of 30 students with python programming INTERN VERIZON COMMUNICATIONS, Hyderabad, India June 2014 Client: Bayer Technologies Services

• Mined customer data to discover network outage patterns using SQL and excel, had hands-on experience in testing circuits

• Coordinated with clients and engineering team on site during the upgradation of their data center PROJECTS

Mileage Prediction R, Generalized Linear Models Spring 2017

• Used Multi Category Logistic regression on top of Baseline Category model to predict the mileage of cars from multiple attributes relating to car model and obtained insights of interest from the same Price Prediction R, Data Mining, Python Fall 2016

• Predicted sale price of various houses, using XGboosting, Random forest regression and linear regression techniques getting an RMSE of 87% as a part of Kaggle project on Housing data set. Artificial Neural Network R, Python Spring 2017

• Built a Multi-Layer Neural Network with Backpropagation using python for classification of over a million images. 16 Puzzle Problem Python, priority queue Fall 2017

• Implemented the traditional 16 puzzle problem adding multiple movements of the tile using python with a consistent heuristic function

Analyzing User Behavior Python, Sci2, Tableau Spring 2017

• Created both Static and Interactive visualizations by analyzing user behavior using Sci2 and Tableau as part of a client project for Places and Spaces Mapping Science website.

Vote Distribution R, Statistics Fall 2016

• Finding patterns in vote distribution across various counties by applying summary statistics as well as significance testing such as Welch’s t-test on a portion of 2014 election data set. Twitter User Distribution Hadoop, Shell scripting Fall 2016

• Analyzed twitter data from a million users adding geolocation to the data and plotted them on a map using the Google map API

Tweet Classification Python, Social Media analysis Fall 2016

• Analyzed over 20000 tweets by tokenizing, vectorizing and categorizing using various python packages

• Built word clouds based on the sentiment of each tweet and categorized tweets based on the sentiment LEADERSHIP AND INVOLVEMENT

VIT University, Vellore, India Mar 2014- May 2016

• Organized major events for Viterary technical Fest organized by VIT with a team of 20.

• Event Organizer for Gravitas fest at VIT University

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