- Accelerated Data Migration of Digital Library records and unstructured data from JSON, XML and RDF using Python (Pandas, Numpy, SQLite), migrating 40% more records in 75% less time than expected
- Analyzed metadata patterns and trends, and designed optimal pipelines for bulk imports in Python, reducing manpower by 25
S
Shure
Quality Data Engineer Intern
Chicago, IL, US
May 2024 - July 2024
S
Standard Chartered Bank GBS
Data Analyst
Bangalore, IN-KA, IN
September 2020 - August 2023
R
Rebel Foods
Data Science Intern
Mumbai, IN-MH, IN
May 2019 - July 2019
M
Microsoft
Learn Student Ambassador
Chennai, IN-TN, IN
December 2017 - May 2019
Skills
Apache SparkApplication Performance ManagementArchitectureArtificial Neural NetworksAutomationBackendBasketballBusiness EfficiencyCarrying out AssessmentsChatbotsContinuous IntegrationCooking SkillsCorrective and Preventive ActionC++ (Programming Language)Customer SatisfactionDashboardsData AnalysisDatabasesDatabase TheoryData IngestionData IntegrationData ManagementData MartData MigrationData MiningData PipelinesData ProcessingData ScienceData VisualizationDecision Making SkillsDeep LearningDevOpsDigital LibrariesDockerDynamic DataExtensible Markup Language (XML)Extract Transform Load (ETL)Gesture RecognitionInformation EngineeringInformation SystemsInformation TechnologyJenkinsJSONKnowledge of MathematicsKnowledge of StatisticsKubernetesLarge Language ModelsMachine LearningManual Data EntryMentoringMetadataMetricsMicrosoft AzureMicrosoft ExcelMicrosoft SharePointMicrosoft SQL ServerMicrosoft Visual StudioMySQLNaive BayesNatural Language ProcessingNumPyOnline MeetingsOracle ApplicationsOrder ProcessingPandasPerformance ManagementPostgreSQLPowerappsPower BIPredictive ModellingProgramming LanguagesPython (Programming Language)Quality ManagementRestful APIsSafety PrinciplesSQL DatabasesSQLiteStakeholder EngagementStreamlineSupply Chain ManagementTableau (Software)Time ManagementUnit TestingUnstructured Data