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Professional Experience

Davenport, Florida, United States
January 18, 2018

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Ramya Krishna Kollipara

Davenport, FL *****407-***-****•

• United States Citizen •


University of Cincinnati, Carl H. Lindner College of Business, Cincinnati, Ohio August 2017 Master of Science in Business Analytics GPA: 3.87 National Institute of Technology, Durgapur, India June 2013 Bachelor of Technology (Electronics & Communication Engineering) GPA: 4 SKILLS & TOOLS

Analytical Skills/Packages: R, SQL, SAS, Hadoop, Hive, Tableau, Arena, @Risk, Python, Excel

Data Mining/Modelling Skills: Linear and Logistic Regression Models (Generalized Linear Models), CART, ANOVA, Generalized Additive Models (GAM),Nonparametric Regression, Random Forests, Bagging and Boosting, Hierarchical and k-Means Clustering, Time Series forecasting, Hypothesis Testing and Confidence Intervals, Principle Component Analysis, A/B Testing


Walt Disney World Parks & Resorts, Orlando June 2017 - Present Revenue Management Analytics Professional Intern

Modeled analysis and provided recommendations for pricing initiatives and potential margin enhancements

Predicted product demand sensitivity to price using Regression analysis to isolate effects of price on demand with an accuracy of 84%

Developed statistical models to analyze promotional tests to determine effects on revenue and margin BHDP Architecture, Cincinnati January 2017 - April 2017 Student Consultant

Optimized office space based on historical usage patterns, for spaces to be added / eliminated to obtain an optimal assortment using statistical methods saving over 40% in footage Ericsson Global India Pvt. Ltd, Bangalore, India September 2013 - June 2016 Network Analytics Engineer

Developed analytics solutions using SQL for clients worldwide and created Tableau visualizations of the derived insights to provide automated weekly reports of operator network KPIs along with Quality of Service markers

Conducted time series forecasting to plan and manage client networks using SQL, R to ensure high quality and low interference in network traffic and optimum management of data

Performed benchmarking analysis of clients’ network with other competitors to improve capacity by 3-4% and prioritize resource allocation reducing time and resource costs up to 60% (approximately $2M+ per annum)

Interfaced with clients and internal teams regarding project issues, delivery commitments, technical queries, design modifications and enhancements to ensure smooth functioning of the project ACADEMIC PROJECTS

Analysis of Income Influencing Factors in Different Professions: Compared various machine learning algorithms using R to successfully analyze and identify characteristics associated with individuals earning >$50K/year focusing on 3 professions: Sales, Executive Managers, and Professional Specialties.

FAA Flight Landing Analysis: Studied FAA flight data records to determine the several factors affecting a typical flight landing and predict landing overrun risk with SAS with a sensitivity of 92%

Twitter Sentiment Analysis: Built a scalable framework in Python to perform sentiment analysis on live Twitter feed from users on any current topic as desired by the end user to detect the trend in the undertone of opinions tweeted and classify them with an accuracy of 97% into three broad buckets: Positive, Negative and Overall HONORS & ACTIVITIES

University Scholarship Recipient August 2016- August 2017

Teaching Assistant – Operations Management August 2016 - January 2017

Ericsson Ace Rockstar Power Award August 2014

Student Athlete: NIT Durgapur College Basketball Team September 2009 - August 2012

Radio Disc jockey in Radio Nitroz (the official on-campus media) September 2009 - April 2013

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