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Data Analyst
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Business Analyst
Information Technology Information Technology Materials Materials Pharmaceutical Pharmaceutical
Data Transformation and Warehousing Data Transformation and Warehousing
About me

I am a data science postgraduate student passionate about uncovering insights and empowering data-driven decisions. I have a strong background in computer science and have gained valuable experience as a Data Scientist at Mu Sigma. I am eager to apply my skills and knowledge to new and challenging projects and to learn from the best in the field.

Data Science Deep Learning
AgileAzureBig Data Technologies (HadoopBusiness IntelligenceC++)Cloud ArchitectureCloud Platforms (AWSCommunicationData AnalysisData EngineeringData ScienceData Streaming and ProcessingData TransformationData Visualization Tools (e.g.Deep LearningETL (ExtractGoogle Cloud)JavaLoad)Machine LearningMarket AnalysisPower BI)Problem SolvingProgramming Languages (PythonPythonRetail OperationsSpark)TableauTransform
Jan, 2022
Sep, 2022
decision scientist ii
Chemical manufacturing
Collaborated with a leading chemical manufacturing company to develop price and demand forecasting models. Utilised statistical techniques, including time series analysis, to generate accurate forecasts. Led the development of the data engineering pipeline, configured individual data flows, implemented data transformation and cleansing, developed and deployed data monitoring flows, developed and deployed forecasting model, collaborated with the dashboarding team, worked closely with the user acceptance team to ensure dashboards met needs.
Key responsibilities Key responsibilities
  • Developed data engineering pipeline
  • Configured data flows
  • Implemented data transformation and cleansing
  • Developed and deployed forecasting model
Key achievements Key achievements
  • Generated accurate forecasts
  • Collaborated with dashboarding team
  • Worked closely with user acceptance team
  • Ensured dashboards met needs
Jan, 2021
Jan, 2022
decision scientist i
Information TechnologyInformation Technology
Data-driven insights
Provided data-driven insights to optimize supply chain operations, reduce fill-rate risk, and maximize returns on marketing spends. Developed pipelines, dashboards, models, and a Market-mix modeling simulator using Python, R, and RShiny. Achieved a 38% reduction in daily cuts and 16% increase in incremental revenue in Mexico.
Key responsibilities Key responsibilities
  • Optimizing supply chain operations
  • Reducing fill-rate risk
  • Maximizing returns on marketing spends
  • Developing pipelines, dashboards, models, and a Market-mix modeling simulator
Key achievements Key achievements
  • 38% reduction in daily cuts
  • 16% increase in incremental revenue
  • Using Python, R, and RShiny
  • In Mexico
Sep, 2020
Jan, 2021
decision sciences intern apprentice
Analytics Consulting
A highly motivated and proactive Decision Sciences Intern with 4 months of experience in the Pharma, CPG, Energy, and Retail industries. Carried out data analysis and developed solutions for each case study presented, utilizing various data analysis techniques and tools. Compiled a sales pitch deck for each project, which included a detailed explanation of the identified problem and proposed solutions.
Key responsibilities Key responsibilities
  • Conducted data analysis
  • Developed solutions for cases
  • Utilized data analysis techniques
  • Compiled sales pitch deck
Key achievements Key achievements
  • Presented solutions to clients
  • Gained experience in 4 industries
  • Generated detailed reports
  • Provided timely feedback