APOORVA SURAT

Los Angeles, CA (***) *** – **** adho80@r.postjobfree.com LinkedIn

SOFTWARE VERIFICATIONS ENGINEER DATA ANALYTICS

Solution-driven professional with 4+ years of experience in software verifications engineering. Expertise include quality control, requirements analysis, test designing/planning, and automation. Possesses a successful track record of collaborating with diverse teams and improving technical workflows while promoting a positive culture in work environments. Adept at meeting deliverables against aggressive deadlines while maintaining high productivity and quality of work. C O R E C OMPETENCIES

Software Development Lifecycles Web & Mobile Applications Verifications SQL RDBMS API Testing Azure Cosmos DB Quality Assurance Methodologies Defect Management Processes Technical Writing Data Analysis Data Cleaning Data Manipulations Machine Learning Statistical Analytic Methods Dashboards & Reporting Communication Regression Testing Unit Testing UI & Compatibility Testing

P R O F E S S I O N A L E X P E R I E N C E

Abbott Labs Sylmar, CA

Software Verifications Engineer Feb 2019 – Present Analyzed software requirements to build testing strategies for Web and Mobile applications in adherence to FDA regulations Performed requirements analyses and created test suite/automation scripts for several new features as Subject Matter Expert Documented issues and divergences in the developed features in order to prevent escalation to CAPAs Simulated test data to match real time scenarios in order to verify system behaviors for edge case scenarios Checked middleware and mobility data logs to detect and analyze issues in the systems flow Modified test cases and designed new test suites to accommodate changes made to existing/newly incorporated requirements Queried SQL/Cosmos NoSQL databases in order to verify system flow and ensure streamlined functionality Deployed Postman calls to validate responses from the WebApp Facebook Hyderabad, India

Quality Test Analyst Jun 2015 – Oct 2016

Assisted with Use cases and User Interface specifications on Facebook Video Ads and the Instagram mobile application Collaborated with stakeholders, managers and developers to create a Requirements Traceability Matrix for Facebook Ads Coordinated with development and application support teams to develop and execute quality control tests alongside team Ensured internal policies for Facebook advertisements were validated within test strategies and policies Presented weekly performance reports to senior leadership based on training metrics for outsourced team members Mentored new hires through training and ramp-up sessions; provided analytical coaching to maximize productivity T E C H N I C A L E X P E R T I S E

Tools: MS Office, Visual Studio, Postman, Jupyter Notebook, R Studio, Putty, Soap UI, Jira, IBM Clear Quest Data Analysis: Python SCiKit-Learn, Matplotlib, Pandas, Numpy, Matplotlib, Stats Models, Scikit, Seaborn, R DPLYR, GGplot2 Databases: Oracle SQL, My SQL, Azure Cosmos DB, Mongo DB Data Visualization: Tableau, R shiny

Languages: SQL, Python, R

E D U C A T I O N

Harrisburg University of Science and Technology 2019 Master’s in Analytics GPA: 3.7/4.0

Thesis: “Effects of Instagram addiction on Wellbeing” P R O J E C T S

Harrisburg University of Science and Technology Harrisburg, PA Analytics Projects Dec 2016 – Aug 2019

Performed k-means clustering to find anomalies and trained the data through linear and logistic regression algorithms using python PANDAS and NUMPY in order to derive the best feature set to predict the crime rates in each state Performed frequent pattern mining to unlock hidden patterns of Walmart sales data using python MLXTEND Analyzed data and created dashboards on TABLEAU to present the happiness ranks of countries and various impact features Processed large text corpuses using python NLTK module to understand the sentiment of the text Built a simple flask application using python on amazon web services that takes input in form of HTML and returns the most relevant topics and their scores based on the JSON dataset consisting the amazon reviews and stored in MONGODB Applied Monte Carlo simulation and decision-making using MS Excel’s Data Table and Scenario Manager; implemented the Bayesian belief network diagram using the software NETICA for Lion Airways plane crash incident Scraped Apple iTunes for App store data using Chrome web scraper extension, used the extracted data to perform exploratory analysis; deployed visualization techniques and machine learning algorithms to predict ratings and prices of apps based on the counter features of the same apps from the Android play store data Conducted an online survey and analyzed data to draw insights and correlations between the Instagram user’s levels of usage and how it impacts their overall wellbeing in terms of happiness and depression Found significant statistical findings to support my hypothesis – Instagram addiction leads to decline in wellbeing of the users