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VINDHYA RUDRAPPA

*******.*****@*****.*** www.linkedin.com/in/VindhyaRudrappa Chicago, Illinois 630-***-**** EDUCATION

University of Illinois at Chicago (UIC), Chicago, Illinois Aug 2019 – May 2021 Master of Science in Management Information Systems Amrita School of Engineering, Bangalore, India Jun 2008 – Jun 2012 Bachelor of Technology in Computer Science Engineering TECHNICAL SKILLS

Technical Skills R, Python, Java, MySQL, Microsoft Excel, Tableau, Hadoop, Spark, HTML, CSS, JavaScript, Angular. Analytical Skills

Hypothesis testing, Regression Analysis, Chi-square test, ANOVA, Random Forest, Bagging, Boosting, Decision Trees, Clustering, Support Vector Machine (SVM), Clustering, KNN, K-Means, Data Visualization, MapReduce, Predictive Analysis

Applications

Google Auto ML, Microsoft Excel, Microsoft PowerPoint, NetBeans API, SOAP UI, IBM Integration Toolkit, IBM WebSphere Message queue, Eclipse, Visual Studio, Putty, Postman, Microsoft Office Suite, TFS, JIRA, Electron JS. Functional Skills

Database Design, Business Intelligence, SDLC, Workflow optimization, Business Logic Documentation, Use Cases Development, UAT Testing, User Stories, Technical Documentation WORK EXPERIENCE

Business Intelligence Developer Northwestern University & CDPH, Chicago, IL May 2020 – Present Project: HIV Tableau, MySQL, Excel, SAS Programming

• Automated the data collection and processing module for 2010-2019 data on ‘HIV’.

• Conducted brainstorming for website and dashboard planning. Classified the dashboards into 6 types based on public health measures.

• Developed over 70 interactive and dynamic gold standards data dashboards for each of the 6 types of health measures and automated the dashboard development for future similar public health indicators that decreased the development time by 50%.

• Created awareness about ‘HIV’ in the public with useful insights to support concerned health departments in curbing the ‘HIV’ epidemic. Associate – Projects Cognizant Technology Solutions, Chennai, India Jun 2015 – Apr 2016 Project: ‘eComm’-ACE hardware, ‘WMS & OMS’-Walmart IBM Integration Bus, IBM WMQ, SVN, TFS, Postman, SOAPUI.

• Designed and developed complex Integration message flows to orchestrate messages between various systems.

• Upgraded middleware components from WMB v8 to IIB v9 for ‘eComm’. Developed easy plugging framework patterns that reduced development time by 3 weeks.

• Led the team to incorporate CI/CD model for the middleware interfaces in ‘WMS & OMS’ that enhanced overall performance by 20%. Programmer Analyst Cognizant Technology Solutions, Chennai, India Oct 2012 – May 2015 Project: ‘eComm’-Aetna health insurance, ‘cubic scan’–Ace Hardware IBM WebSphere WMB v8, IBM WMQ, SVN.

• The project ‘eComm’ aimed at managing and automating the insurance claims and reimbursement process.

• Prepared low-level design document, data mapping sheet and developed integration workflows, transformation logic using IIB, performed integration testing and supported at various project phases.

• Developed project framework for logging and error handling that reduced the average time to solve a production ticket by 20%. ACADEMIC PROJECTS

Consulting - Kids Jamm, Chicago, IL Project Intern Nov 2019 – Dec 2019

• Assisted the client in providing better user experience by assessing the UI/UX parameters of the website which resulted in increased footfall by 30%. Enhanced social media presence and business reach.

• Recommended SEO techniques and keywords based on CPC that improved website search results by 10%. Data Visualization – Interactive Dashboards & Stories Tableau, Business Statistics, Excel Aug 2019 – Oct 2019

• Analyzed Bureau of Transportation Statistics airline data and identified metrics that effect On-Time performance of American Airlines

• Created interactive dashboards and built stories to extract actionable insight and performed competitive analysis. Customer Segmentation by K-means Python, Excel Kaggle Data Mar 2020 - Apr2020

• Developed K-means algorithm using clustering techniques and visually represented the results to identify several segments of customers allowing companies to better target potential user base and better understanding of overall customer behavior. Analysis and prediction of breast cancer (BC) dataset R, Excel Diagnostic Breast Cancer Data Mar 2020 - Apr 2020

• Preprocessed the data using EDA and feature selection methods. Applied algorithms like logistic regression, decision tree, Naïve Bayes, Random forest, nearest neighbor classifier to build different classification models. Chose the best model based on evaluation parameters.

• Classified BC tumor as either ‘benign’ or ‘malign’ and promoted early treatment which in turn increased the survival rate. Prediction of net promoter score (NPS) Python, Excel Manipal hospital Data Nov 2020 – Dec 2020

• Built multiple models based on logistic regression, random forest, ADA boost to predict NPS to improve customer experience for Manipal hospitals.

• Determined the significant variables and chose the best model based on sensitivity as a parameter. With, techniques like down sampling improved the sensitivity by 30% and gave insights on significant variables to improve NPS. ACHIEVEMENTS AND EXTRA-CURRICULAR

• IBM WebSphere Broker V8, IBM Integration Bus v9 and IBM WebSphere Message Queue V6 certified.

• Awarded with teaching assistantship for ‘business programming’ – Spring 2020.

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