- Quantitatively analyze the continuously evolving interactions among neurons in large models during training, the Neuron-based
- Multifractal Analysis
- Emphasizing a shift from traditional paradigms to focus on the complex behaviors of neuron interactions within Large Language
- Models (LLMs) during training, thereby deepening our understanding of emergent phenomena beyond mere model size
T
TATA Steel
Data Analyst
Delhi, IN-DL, IN
June 2021 - August 2021
I
International Organization of Software Developers
Campus Ambassador
Delhi, IN-DL, IN
December 2018 - March 2019
Skills
A/B TestingAlgorithmsAmazon Elastic Compute CloudAmazon S3Amazon Web ServicesAnalytical ThinkingApache HadoopApache SparkArtificial IntelligenceBig DataComputer EngineeringComputer NetworksC++ (Programming Language)DashboardsData AnalysisDatabasesData ScienceData StructuresDecision Making SkillsEnergy EfficiencyFirebaseInformation TechnologyKerasKnowledge of EngineeringKnowledge of LightingKnowledge of StatisticsLarge Language ModelsLeadershipLinear AlgebraLogistics OperationsMachine LearningMarketingMarketing MixMATLABMatplotlibMetalworkingMicrosoft ExcelMicrosoft OfficeMicrosoft PowerPointMicrosoft SharePointMongoDBNetworking SkillsNeuronsNumPyObject-Oriented Software DevelopmentOperational SystemsPandasParadigmsPerformance ManagementPostgreSQLPower BIPrincipal Component AnalysisProgramming LanguagesPublic RelationsPysparkPython (Programming Language)Raw DataReal Time DataReinforcement LearningSchedulingSciencesScikit LearnSocial MarketingSQL DatabasesStock ControlStrategic ThinkingSupply Chain ManagementTableau (Software)TensorflowTime SeriesWireless Sensor NetworksXgboost