Nachiket Kawitkar

Nachiket Kawitkar

Senior Manager, Data Engineering @Aetna, A Cvs Health Company

Washington, DC, US
EMAILS
n••••••••@aetna.com
MOBILE NUMBERS
+14•••••••19

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WORK HISTORY

Jun 2024 — Present

Senior Manager, Data Engineering @Aetna, A Cvs Health Company

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Design, develop, and maintain data pipelines that cater to the business needs of various Aetna lines of business using SQL server • Collaborate with cross-functional teams to provide actionable insights and integrate them with consumer touchpoints, ensuring that data solutions are aligned with overall business goals• Develop large-scale data structures and pipelines to organize, collect, and standardize data that helps generate insights and addresses reporting need • Translate business questions into data analysis plans discussed in strategy plan meetings• Summarized data and presented insights to the Managing Team in a clear, concise, and actionable format

EDUCATION

2007 — 2009

Fergusson College

Science

2009 — 2013

Savitribai Phule Pune University

Bachelor of Engineering (B.E.), Electronics and Telecommunication Engineering

2015 — 2017

Oklahoma State University

Master of Science (M.S.), Business Analytics

SKILLS

GithubHypothesis TestingRMicrosoft PowerpointResearchFinancial ReportingHtmlSqlTeradataCssHerokuPowerpointMicrosoft ExcelRubyCustomer Segmentation StrategyCluster AnalysisMatlabSasData AnalysisCore JavaData ClassificationTableauAnovaText MiningVhdlSas MacroSas Certified Base ProgrammerSpssC++Predictive ModelingData MiningMicrosoft OfficeMicrosoft WordCT-TestsAdvanced Sas CertifiedRuby on Rails

ABOUT NACHIKET KAWITKAR

Detail-oriented Business Analyst with 10+ years of experience in a fast-paced corporate environment• Experience in successfully implementing data projects right from requirement gathering to analysis and visualization • Expertise in data extraction, preparation (merging, replacing, transforming), and analyzing data to derive value• Skilled in Statistical Analysis languages – SAS, SQL, R, Python, and Visualization tools – Tableau, JMP• Strong Visualization trades - adept at building interactive dashboards giving multiple views to understand the data better• Proficient in building predictive models – Linear and Logistic Regression, Decision Tree, Neural Network• Sound understanding of data mining concepts – Hypothesis Testing, ANOVA, Clustering, Correlation, Forecasting• SAS Certified Predictive Modeler, Advance Programmer, Statistical Business Analyst, Base Programmer

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