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Data Engineer

Richardson, Texas, United States
February 08, 2018

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Satya Abhignya Maddali • (281) ***-**** • EDUCATION

Master of Science, Computer Science Expected May 2018 The University of Texas at Dallas, United States GPA: 3.557/4.0 Bachelor of Technology, Electronics and Instrumentation Engineering May 2014 Gandhi Institute of Technology and Management, Hyderabad India CGPA: 8.40/10.0 PROJECTS

Titanic: Machine learning from Disaster, Machine Learning with R January 2018- February 2018

• Analyzed the Titanic data set in R studio to identify key variables and feature engineered variables to better understand survivability

• Built a prediction model using machine learning concepts such as Logistic Regression algorithm, to predict survivability of passengers on a test data set with an accuracy of 82.9 %

Discovery of correlation between corruption and development in countries, R for Data Scientists January 2018

• Analyzed dataset from Transparency International using R

• Discovered the correlation between the corruption index and Human development index by Data manipulation and cleansing

• Created visual representation of the patterns and correlations using ggplot2 package Statistical data exploration on airplane crashes, Statistics with R December 2017- January 2018

• Analyzed open source datasets from NASA, FAA, ASRS using dplyr package in R

• Investigated the correlation between the flight stages and their crashes

• Discovered correlations, patterns, trends and anomalies from the linked data DataQuest, Introduction to Python November 2017

• Conducted analysis on dataset on births in the U.S by combining various data sets and cleaning them

• Calculated the number of births each month and each day of the week using Python in Jupyter notebook Recommender system for a Social Network (KDD Cup 2012), Big Data June 2017 - August 2017

• Users were recommended an item, organization or other users based on their history using PySpark

• Predicted features using Word2Vec model cause of the vastness of dataset

• Tested the model using ALS and Gradient boosted techniques

• Predicted that better results were obtained by using ALS method than Gradient Boosted method E commerce Web Application, DBMS and Web Programming languages January 2017 - March 2017

• Developed a e commerce website using HTML5, CSS3, Bootstrap and JavaScript while adhering to best design practices

• Strategically integrated action buttons, that help users navigate the webpage

• Employed code techniques that allow user to navigate to external links

• Addressed cross-browser compatibility issues while integrating website with Facebook, Twitter, and Instagram SKILLS

Software: MS Office (Excel, Word, PowerPoint)

Operating Systems: Linux, Unix (Mac OS), Windows, Chrome OS Programming Languages: R, Python, C++, MySQL, JAVA Web Programming Languages: HTML5, CSS3, Bootstrap, JavaScript, JQuery, Anugular2, React.JS, WordPress, Photoshop Tools: Android Studio, Red mine, Jira, Appium, Eclipse, MySQL, RStudio, Tableau, Jupyter WORK EXPERIENCE

Lava International Ltd., Software Test Engineer(Research & Development) June 2014 – December 2015

• Primarily responsible for the testing process of smart phones which involved planning, development and execution manually

• Led a team for optimizing the test cycle by implementing the use of automation tools and helped the organization achieve a better software testing life cycle

• Specialized in testing of hardware and software of the Camera, Audio and LCD

• Created visually impactful dashboards using Excel about the product for the sales team National Remote Sensing Center, Intern June-July 2012

• Developed a remote interface for a coaxial switching matrix with a programmed microcontroller to control SP6T switch locally and remotely

• Trained on the various satellite data services like Acquisition planning, Data reception, processing and dissemination

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