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Data Microsoft Office

Location:
Spring, TX, 77373
Posted:
June 11, 2018

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Resume:

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



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