Engineer Data

SRUJANA REDDY JAIDI

******@***.*** +1-480-***-**** https://www.linkedin.com/in/srujana-reddy-jaidi/

SUMMARY

Graduate Student in Computer Science with strong object-oriented programming skills integrated with knowledge of Relational Databases, Data Structures and Algorithms, seeking Full-time opportunities.

EDUCATION

Arizona, AZ Arizona State University Graduating-May 2021

M.S in Computer Science GPA 3.78/4

Hyderabad,India VNR Vignana Jyothi Institute of Technology and Engineering Graduated-May 2019

B.Tech . in Computer Science GPA 9.42/10

Technical Skills

Programming Languages: C, C++, Python, Java

Database: SQL, PostgreSQL

Front-End Technologies: HTML, CSS, JavaScript

Tools and OS: Hadoop, MapReduce, Weka, Pycharm, GIT, Anaconda, Spyder, Axure RP, Tableau, Android Studio, Apache Spark, Linux and Microsoft Office

PROFESSIONAL EXPERIENCE

Software Engineer Intern Zen3 Info Solutions Fall 2018-Spring 2019

Collaborated with software development team through various stages for creating procedures using PostgreSQL for internal AI projects i.e Recruitment Bot and Evaluating the Agent Performance in calls.

Created relational databases, user defined functions and triggers to evaluate agent’s performance while talking to a customer on a phone call.

Evaluated the performance based on certain metrics such as silence time, hold time, words used by agent during the call etc., and was able to achieve an improvement in the performance of the agent by 70%.

Developed user defined PostgreSQL functions towards building a Recruitment Bot used by Recruitment team for effective candidate selection and hiring and increased the hiring rate by 35%

ACADEMIC PROJECTS

CGM Prediction Spring 2020

Developed a continuous meal detection algorithm by using CGM sensor output data of a patient.

Used Python Scripting language for building a SARIMAX model which predicts and forecasts CGM values using the training and testing datasets.

Obtained RMSE (Root Mean Squared Error) of 9.8 which determines the performance of the model.

Analysis and Implementation of Geo-Spatial Queries Fall 2019

Implemented Large Scale Real-time location data processing of a NYC taxi firm in Apache Spark using Resilient Distributed Datasets.

Performed hot-cell analysis on the NYC Taxi Trip Dataset

Designed an algorithm to get a list of top fifty significant hotspots using Getis Ord statistics on the given data.

BestBuy Redesign Fall 2019

Worked in a team of 4 to analyze the usability and user experience of the existing BestBuy website and created a redesigned prototype of the website using Axure RP to improve the functionality, usability and user experience.

Performed cognitive walkthrough and conducted A/B testing on a total of 16 participants per user task.

Meal Detection For Diabetes Patients Fall 2019

Performed analysis on time series data i.e glucose values recorded for Diabetes Patients.

Extracted few prominent features from the series such as cgm velocity, moving average, area under curve and Fourier transform coefficients, trained the model with the help of NaïveBayes Classifier and achieved an accuracy of 82%

Diagnosis of Chronic Obstructive Pulmonary Disease Using Deep Neural Networks Spring 2019

Collaborated in a team of four to build Machine Learning model which can classify the cough sounds into COPD and Non-COPD category

Extracted features from the audio files(cough recordings of patients) and performed Data-preprocessing to obtain training and testing datasets

Built a Classification model, by training the model using Multilayer Perceptron Algorithm and were able to achieve an accuracy of 97%.

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