- End to end data pipeline design, led data collection using Microsoft PowerApps to study Guest with Disability, Queue
- Analyzed Cast parking ingress to find and analyze trends based on shift length, parking location, cross referencing with Guest parking data. Collaborated with cross functional teams to deep dive into ways to optimize parking efficiency and future
- Trained and deployed ML models
- Extract data from daily hotel valet reports using Python to enable easier data processing
G
Gothub.AI
Founding Data Scientist
June 2023 - March 2024
U
UC Berkeley IEOR Department
Researcher
September 2021 - May 2022
C
Cal Alumni
Data Science Intern
January 2021 - May 2021
Skills
A/B TestingAlgorithmsArtificial IntelligenceComputer ProgrammingConsultingCreating PrototypesCultural ActivitiesCustomer SatisfactionData AnalysisDatabase DesignData CollectionData ModelingData PipelinesData ProcessingData ScienceDecision Making SkillsEconomyElectric Power DistributionElectric VehiclesFacebook Ads ApiGitIndustrial EngineeringJupyterKnowledge of EngineeringLinear ProgrammingMachine LearningMarketingMetricsMicrosoft ExcelMonte Carlo MethodsMultidisciplinary ApproachMySQLNoSQLOperations ResearchPowerappsProcess SimulationPublishing SkillsPython (Programming Language)Query PerformanceRelational DatabasesResearch SkillsRetention RateSafety StockSchedulingSimulationsSQL DatabasesStakeholder ManagementStataStochastic ProcessStrategic ThinkingStrategies of MarketingSupply and DemandTableau (Software)Usability TestingUser Experience