Y Pavithra

***** ******* ****, *******, ** ***** addpto@r.postjobfree.com +1-540-***-**** www.linkedin.com/in/yandamuri-pavithra/ EDUCATION

George Mason University, Fairfax, Virginia 08/2018 – 05/2020 Master of Science: Data Analytics Engineering GPA: 3.87/4 Relevant Coursework

1. Visualization for Analytics 2. Database Mgmt. Systems 3. Decision and Risk Analysis 4. Principles of Data Management 5. Applied Predictive Analysis 6. Analytics Big Data to Info Birla Institute of Technology and Sciences, Dubai, UAE 05/2014 – 07/2018 Bachelor of Engineering (honors): Computer Science GPA: 7.72/10 Relevant Coursework

1. Object Oriented Programming 2. Data Structures and Algos 3. Cloud Computing 4. Optimization 5. Data Mining 6. Artificial Intelligence TECHNICAL SKILLS

Languages: Python, C, C++, Java

Data Analysis: R(RStudio), Python, Tableau, Weka, My SQL, NOSQL Other Tools: TensorFlow, MATLAB, Pandas, Scikit-learn, Vott (image labeling), Jupyter Notebook, Microsoft Office WORK EXPERIENCE

George Mason University - Graduate Research Assistant 08/2019 - 05/2020

• Assisted the Associate Dean of Faculty from School of Business in developing a contribution model for the faculty which records the annual contributions of each faculty by Data Entry and using Microsoft Excel for visualizations.

• Assisted the Dean in highlighting the achievements of award recipients.

• Helped in research work related to Autonomous Vehicles and its impact on people. Mid-east Data Systems, Abu Dhabi, UAE - Intern 01/2018 - 07/2018

• Performed analysis on the databases to give insights of the company’s profit using Python and Tableau.

• Gained knowledge on Types of Virtualizations, Desktop Virtualization, MDS’s VDI solution: VMware Horizon for Desktop Virtualization.

• Took an example company of MediCity Hospital and understood the business requirements to increase number of virtual desktops to scale up to 1500 users from 800 users.

• Suggested a simplified desktop management strategy using VMware Horizon 7 Hands-On Lab provided by company as a research study.

Huawei Technologies LTD, Abu Dhabi, UAE - Intern 06/2016 - 08/2016

• Performed analysis and cleaning of Huawei Databases using MySQL.

• Understood the technical capabilities of Huawei’s cloud operating system (OS) solution FusionSphere and its role in the company.

• Research was performed to identify the challenges and opportunities of Huawei cloud computing. CERTIFICATIONS

Data Warehouse Concepts: Basic to Advanced Issued on January 2020 Udemy

PROJECTS

Detection of potholes in road surface 02/2020 – 05/2020

• Collected images of potholes and perform data labeling and data cleaning using Microsoft Vott.

• Trained the labeled images on SSD Inception V2 Coco model using TensorFlow and Google Colab.

• Tested the model on video of potholes on the trained model using Python, TensorFlow and OpenCV.

• Speed Analysis is using various Frames per Seconds of video to detect at what maximum speed model can detect all potholes.

Predictive Analysis on Lending Club Loan Dataset 09/2019-12/2019

• Goal is to Predict whether the bank can approve a loan to the customer with risk or without any risk based on his/her previous records.

• Dataset from Kaggle is used which consists of 74 attributes containing information about to the borrower’s past credit history and Lending club Loan information.

• Data Visualization is performed to understand the dataset using Tableau.

• Data Preprocessing is performed to clean the data with help of Correlation, Box-cox transformation.

• Trained and tested the cleaned data on various Regression Models to determine which returned the best predictive capability using RStudio.

Image Recognition using Convolutional Neural Networks (Design Project) 08/2017-12/2017

• Goal is to detect Logos using brand logo recognition system using Computer Vision.

• Flickr27 Logo Dataset is collected from Kaggle which has 27 classes.

• Performed Image Cropping and Image Argumentation for dataset prepossessing.

• Trained the model with model accuracy of 94% by the implementation on Convolutional Neural Networks using TensorFlow in Python.

• Tested the model of test images to get output which is displayed in 2 formats. Applications of Fuzzy Logic Using MATLAB (Discipline Design Project 01/2017-05/2017

• Developed the fuzzy logic prediction system which predicts the popularity ranking of the movie for an online movie store.

• IMBD Rating of the movie and the price of the movie on website are considered as main fuzzy logic inputs.

• Rule Table, Linguistic Variables for input and output functions and total of 12 rules are designed in MATLAB.

• The results predicted the popularity rank between 1 and 7 where 1 is least popular and 7 is the most popular with total error of model as 8.9%.

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