PRIYA SAMBHAVI MUDUNURU

Dallas, Texas; 704-***-****; adet3c@r.postjobfree.com; https://www.linkedin.com/in/priya-sambhavi/ EDUCATION:

The University of Texas at Dallas May 2021

M.S., Business Analytics GPA:3.3

Andhra University May 2019

B.S., Electronics and Communication Engineering GPA: 3.5 TECHNICAL SKILLS:

Programming Languages: C, Python, R, STATA; Databases: MySQL, MongoDB; Visualization: Tableau, QlikSense; Algorithms: Regression, Classification, Market-Basket Analysis, Decision Trees, Random Forest, Gradient descent, K- Means Clustering; Libraries and Packages: Numpy, Pandas, Scikit-Learn, Matplotlib, Seaborn, ggplot2; Tools: R Studio, Spyder, Jupyter, MySQL Workbench, MS Excel, MS Word, MS PowerPoint CERTIFICATIONS:

Tableau Desktop Specialist, Tableau (Candidate ID: 1033591) HIGHLIGHTS:

• Business Analytics, Data Analytics, Data Visualization, Product Analytics, Data Science, Econometrics, Time series Analytics, Data modelling, Machine learning

• Adaptability, Self-motivated, Quick Learner, Punctilious team worker with experience in working in cross-functional teams, Exemplary Interpersonal skills, Strong Analytical and Critical thinking skills, Strong Work Ethics PROFESSIONAL EXPERIENCE:

Bharat Sanchar Nigam Limited, INTERN/TRAINEE, (Visakhapatnam, Andhra Pradesh, India) May 2017 – December 2017

• Operated on real-time technology employed in BSNL and handled live telecom switching and IP network equipment

• Learned transmission and broadband system, fiber optics, data communication and mobile communication

• Worked on practical application of networking concepts, Cyber security, TCP/IP, MPLS, HTTP, FTTP, DGCP, Proxy services and configuration

ACADEMIC PROJECTS :

Impact of Guns on Crime in United States (Tableau, R) October 2019 – December 2019

• Used a dataset with 1500+ records to identify if Shall law has a significant impact on crime

• Performed exploratory data analysis using Tableau (heatmaps, scatter plots, trend lines) and ggplot library

• Predicted the impact of guns in US and developed a model using R, by applying regression and hypothesis testing Impact of income inequalities on burglary (Python: Pandas, Tableau) December 2019 – February 2020

• Cleaned the dataset of burglary calls in Dallas over a span of 4 years (99k+ records) using Pandas library

• Created a tableau dashboard that summarizes the relation between median household income and burglary rate in each locality and various other insights

House sales prices (R) September 2019 – November 2019

• Implemented learning algorithms like Linear regression, Logistic regression, SVM, Decision Trees, Boosting on Boston Housing Prices Dataset to predict the price range of an individual house in Boston Energy Meter over IoT (Raspberry Pi) January 2018 – May 2018

• Led a team of 5 members and developed a device using Atmega8 micro controller and multiple sensors that monitors the readings, detects tampering and allows to control the energy meter remotely

• Programmed the device using RaspberryPi and uploaded the readings that can be accessed globally through URL LEADERSHIP AND ORGANIZATIONS:

Astronomy club, UT Dallas December 2019 – Present

Electronics Research club, Vice president, Andhra University August 2016 – May 2018

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