Student. Specializing in data science and business intelligence

Shreya Kaul

+1-917-***-**** ********@**.*** www.linkedin.com/in/shreya-kaul Seattle, WA

SUMMARY OF QUALIFICATIONS

+ Information Management graduate student specializing in Data Science and Business Intelligence with a demon- strated history of working in a technical role

+ Technologies: SQL, Java, Python, R, HTML, Cobol, Software-AG Natural, JCL, Easytrieve

+ Tools and Frameworks: RTC Tool, Weka Tool, Mainframe, MS Office, Tableau, SPSS, PowerBI, ParseHub, Azure Machine Learning, AWS

EDUCATION

University of Washington, Seattle September 2019 - May 2021 Master of Science Information Management (Data Science and Business Intelligence) GPA: 3.77/4.00 Related Courses: Statistics, Machine Learning for Big Data, Relational Database Management System, Business Intelligence Systems

Jaipur Engineering College and Research Center, RTU, India August 2013 - May 2017 Bachelor of Technology Computer Science and Engineering GPA: 7.24/10.00 Related Courses: Database Management System, Data Structures and Algorithms, Object Oriented Programming EXPERIENCE

Accenture

Associate Software Engineer May 2017 - July 2018

+ Programmed GDPR regulations in a Mainframe environment using Software-AG Natural, JCL and SQL to handle customer data retention and removal

+ Enhanced core business modules for a legacy mainframe system using COBOL, SQL, JCL and Easytrieve

+ Spearheaded the business analysis and project management responsibilities for the Rational Team Concert Tool

+ Provided technical support for end-user queries and implemented critical bug fixes to ensure system stability Aricent Technologies

Trainee June 2016 - Aug 2016

+ Worked on optimization of makefile systems used in Long Term Evolution (LTE) projects on LINUX using shell scripting

+ Improved the efficiency of makefiles generation by bringing down the build time by 87% PROJECTS

FQDN Prediction (AWS, Python) April 2020 - June 2020

+ Leveraged AWS Sagemaker to predict domain names as benign or DGA with 91% accuracy

+ Designed secure APIs for customer interaction providing prediction and billing services

+ Collected metrics of the service with a 99.999% up-time Online Marketplace for Home-stays (SQL, SQL Server) January 2020 - March 2020

+ Programmed and designed a database system to support the operational and reporting needs for an online home-stay business using SQL

+ Developed artifacts like ER Diagram, Nested Stored procedures, and Business rules to manage the daily operational activities NYC Flights Data Analysis (R Studio, Data Analysis) January 2020 - February 2020

+ Performed descriptive analysis on the NYC flights dataset in R to understand patterns in flight delays from NYC airports

+ Predicted airline delays using K-Nearest Neighbors algorithm on the NYC Flights data-set

+ Analyzed delay patterns with respect to different weather related variables using multivariate linear regression Classification of the Iris Data (R Studio, Machine Learning) January 2020 - March 2020

+ Predicted the Iris Data classes using the classification tree model with 80% accuracy

+ Classified data using Linear Discriminant Analysis and Quadratic Discriminant Analysis on the dataset and achieved classification accuracy of 96% and 97% respectively

+ Performed KNN classification and cross-validation to get the training and test error rates for different values of K Classification of Emotion Through Text (WEKA Tool) August 2016 - December 2016

+ Performed detection and classification of human emotions from text on twitter data-set

+ Achieved the classification of the text in WEKA Tool based on Naïve-Bayes Classifier, Decision Table Classifier, Decision Stump Classifier, J48 classifiers with accuracy of 26.627%, 27.89%, 27.89%, 22.59% respectively

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