Social Media Data

GUNASAI MUPPALA

Bothell, Washington, ***** 813-***-**** *********@*****.*** LinkedIn GitHub Portfolio SUMMARY

Master’s in Business Analytics Graduate with 2-years’ experience in driving Business Solutions through Data Science, Statistics and Analytics seeking a position that allows me to use problem-solving skills and technical knowledge

Computer Science Graduate with completed coursework in Data Structures and Algorithms, Programming in Java and C++

Excellent analytical abilities who is skilled at employing data science development approaches, data models and new technology to find new insights and relationships in big data. Writes and optimizes SQL queries on large data sets to solve complex business problems

Strong report-making skills with a demonstrated experience in defining business needs, gathering requirements, and visualizing data EDUCATION

Master of Science, Business Analytics, 3.88 GPA, W.P. Carey School of Business at Arizona State University, May 2020

Bachelor of Engineering, Computer Science & Engineering, 8.04/10 CGPA, Visvesvaraya Technological University, June 2019 RELEVANT COURSEWORK

Enterprise Analytics (SQL, Data Visualization) Relational Database Management Systems Data Mining (Python) Marketing Analytics (R Programming) Business Analytics Strategy (Tableau, SQL, Business Intelligence) Statistics TECHNICAL SKILLS

Scripting/Programming Languages: Python (Pandas, Numpy, Scikit-Learn, spaCy), SQL (SQL Server), R, Java, C, C++ Machine Learning Algorithms: Decision Trees, Random Forests, K-Nearest Neighbors, Ensemble Methods, Bayesian Methods Statistical Concepts/Algorithms: Data Classification, Regression (Linear, Logistic), K-Means Clustering, Hypothesis Testing Visualization Tools: Tableau, Microsoft Excel (Pivot tables, vlookups, VBA), Microsoft PowerPoint, MS Power BI, Minitab Other Technical knowledge: Microsoft Office including Access and Outlook, Git, Web Designing, Hadoop (MapReduce, Spark) AREAS OF EXPERTISE

Machine Learning Python Programming Data Visualization Time Management and Organization

Data Analysis Predictive Modeling Operations Research Written and Verbal Communication

Statistical Analysis MS Office Suite Software Development Customer Service - Collaboration WORK EXPERIENCE

Business Intelligence Analyst, Arizona State University, Phoenix, Arizona June 2020 – Present

Analyzed, classified, studied 6000 user comments on Reddit and developed a social media analytics perspective model through text analytics using deep learning LSTM (Long Short Term Memory) classifier

Leveraged Keras library on Python for sentiment analysis to augment human interactions and achieved an accuracy score of 73%

Amplified marketing impact and used Tableau to visualize data points and communicated results and key ideas to decision makers Data Scientist (Capstone Project), Arizona Lottery, Phoenix, Arizona December 2019 – May 2020

Improved the business sales by 15% by applying data modeling, statistical, analytical, and machine learning methods to predict delinquent lottery retailer accounts for the sales & marketing team of Arizona Lottery

Used SQL, Excel to integrate data from multiple sources and increased accuracy by evaluating different machine learning models

Collaborated with multi-functional teams and stakeholders in the agency to facilitate new business models and communicated results and ideas to senior leaders and executives across the company. Awarded Lean Six Sigma Green Belt Certification Student Ambassador - W.P. Carey School of Business at Arizona State University August 2019 – May 2020

Used presentation skills to educate public and prospective students across the United States about Master’s in Business Analytics program of Arizona State University. Orchestrated seminars focused on graduate education in the global environment Software Developer – Internship, Aricent, India June 2018 - August 2018

Developed a front-end to enable multi-user access to track companywide project roadmaps in DevOps. This front-end design was presented to both technical and non-technical audience and was successfully deployed for 1000s of internal and external professionals PROFESSIONAL DEVELOPMENT

Data Mining Projects (Machine Learning) – Predictive Analytics October 2019 – March 2020

Used Python and Implemented Machine Learning Models for Recommendation System, Santander Bank Customer Satisfaction, Insurance Fraud Detection, Portuguese Bank Target Marketing. Achieved accuracy scores of above 85% for every project Data Visualization Projects (Tableau) January 2020 – March 2020

Used Tableau to visualize Los Angeles Crime Dataset (2012 – 2016), NYC Vehicle Collisions (2012 – 2020) and generated dashboards showing various insights and trends

INTERESTS

Business Analysis Python, R, SAS, SPSS Data Science and Operations Alteryx, KNIME QA Testing

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