Satya Abhignya Maddali
***************@*****.*** • 281-***-****
https://github.com/Abbu29 • https://www.linkedin.com/in/satya-maddali-839417104/ EDUCATION
The University of Texas at Dallas, United States,MSc, Computer Science (Data Science) May 2018 Courses: R for Data Scientists, Machine Learning, Big Data, Predictive Modeling, A/B testing GPA:3.6/4.0 Gandhi Institute of Technology and Management, India, BTech, Electronics Engineering May 2014 Courses: Data Structures, Statistics and Probability CGPA:8.4/10.0 CERTIFICATIONS AND AWARDS
Udacity Data Science scholarship by Bertelsmann,Google Analytics(GOOGLE), Data Science Foundations(IBM), Tableau WORK EXPERIENCE
Lava International Ltd., Data Analyst (Research & Development) Jun 2014-Jun 2016
• Researched and Developed data architecture on target customers using Google analytics
• Collaborated with other teams to collect user data, analyze and process with Python and machine learning algorithms
• Conceptualized buyer persona with Product Marketing team for new mobile offering, integrating data-driven strategies for improving user experience, expanding user base by 2K+
• Compared and analyzed quarterly sales data and pricing strategies of 5 competitors in Tableau; presented analysis to leadership team and recommended strategies to increase sales by 25% National Remote Sensing Center, Intern Jun 2012-Jul 2012
• Monitored performance of SP4T switch with Tableau and SQL
• Coordinated with manager to evaluate various parameters related to the implementation of SP6T switch to improve performance by 12%
PROJECTS
Text to Speech conversion for the visually impaired, (Python, Machine Learning) Mar 2018-May2018
• Developed a reading and recognition algorithm for the visually impaired that utilizes Opencv to recognize text and convert it to speech
Data Science in E-Commerce, Capstone Project (Python, Machine Learning) Mar 2018
• Analyzed web and mobile traffic to identify usability patterns
• Predicted that optimizing the mobile app yields 40% higher revenue Connecting borrowers and investors for Lending.com, Capstone Project(R for Machine Learning) Jan 2018
• Analyzed data related to 900+ clients based on assests,pensions and other expenses
• Identified key variables and proposed a SVM model of investor and borrower match with accuracy of 82% Statistical data exploration on airplane crashes, Capstone Project (Statistics with R) Sep 2017- Nov 2018
• Investigated correlations between flight stages and crashes from NASA, FAA, ASRS datasets using dplyr package in R
• Discovered that survivability increased as 62% of the accidents occurred during less dangerous phases of flight SKILLS
Data Analysis/Visualization Tools: MS Excel, Google Analytics, Tableau, Alteryx Programming Languages: Programming in R, Python (NumPy, pandas, Matplotlib, Seaborn, Plotly, Scikit-learn, NLTK), SQL, JAVA
Big Data Technologies: Hadoop, Spark, Pig, Hive
Databases: MySQL, PostgreSQL, Mongo DB
Tools: Microsoft Office (Word, PowerPoint, Office 365), RStudio, Jupyter, Red mine, Jira, Android Studio, Eclipse, Photoshop