Neelay Shah

Sr Business Data Analyst, Research and Analytics, Contact Center Analytics @The Home Depot

Atlanta, GA, US
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

Jan 2022 — Present

Sr Business Data Analyst, Research and Analytics, Contact Center Analytics @The Home Depot

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Atlanta, GA, US

EDUCATION

2025

Georgia Institute of Technology

Master of Science - MS, Analytics

2013

Georgia State University - J. Mack Robinson College of Business

Master of Science (M.S.), Information Systems

2010

University of Mumbai

Bachelor of Engineering (B.E.), Information Technology

SKILLS

Agile MethodologiesManagementJavascriptUmlDatabase AdministrationJspQuality ControlOracleRequirements AnalysisJavaMicrosoft Sql ServerSqlSoftware DevelopmentAsp.netSelf-Motivated Team Player/BuilderJavaserver Pages (Jsp)Project ManagementSystems AnalysisTestingRelational DatabasesJava Enterprise EditionRequirements GatheringIntegrationDatabasesPl/SqlClose Attention to DetailDatabase DesignBusiness AnalysisSoftware DesignMulti TaskingTask-OrientedProgrammingCreative Problem SolvingDocumentationsRequirements ManagementSoftware Development Life Cycle (Sdlc)Business Process Re-EngineeringData Analytics

ABOUT NEELAY SHAH

Website: github.com/Neelay12988/Machine-Learning• Curious to understand more and ever learning• Strong understanding of software development life cycle methodologies in Matrix organizational structure and teams spread across globe• Achieving error-free results with client communication, rigorous testing and test driven development style• Working on multiple high priority projects simultaneously ensuring high quality• Highly proficient in SQL and Tableau with 5+ years of work experience• Proficient in Python and R languagesAreas of Expertise• Programming Languages: R, Python, Java; SQL; T-SQL; XML; HTML; JavaScript• Tools: JIRA, Trello, ServiceNow, Tableau• MS Office Suite: PowerPoint, Excel, Word, Access, Visio, ProjectBig Data and Machine Learning Techniques• Regression: Simple Linear, Multiple Linear, Logistic, Poisson, Polynomial Linear, SVR, Decision Tree, Random Forest• Classification: Logistic, K-Nearest Neighbors (K-NN), SVM (Kernels: Linear, Poly, RBF), Naive Bayes, Decision Tree, Random Forest• Clustering: K-Means, Hierarichical• NLP - Natural Language Processing• Deep Learning: Artificial Neural Network, Convolutional Neural Network, Recurrent Neural Network• Dimension Reduction: Backward Elimination, Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), Kernel PCA• Big Data: Apache Hive, Apache PigIndependent Coursework:• R Programming A-Z™: R For Data Science With Real Exercises• Tableau Desktop for Accurate Business Analysis• Machine Learning A-Z™: Hands-On Python & R In Data Science• R Programming: Advanced Analytics In R For Data Science

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Neelay Shah — Sr Business Data Analyst, Research and Analytics, Contact Center Analytics at The Home Depot in Atlanta, GA, US | Unifers