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moneteer808-oss/README.md

About Me

Data Analytics & Project Management Professional
Focused on turning data into structured execution and operational decision-making, with an emphasis on building analytical solutions that support business outcomes.

What I Do

  • Translate data into operational and business insights
  • Support forecasting, reporting, and data-driven decision-making
  • Build analytical solutions that improve planning and efficiency

Featured Project

Bike Demand Forecasting for Operational Planning

Forecasting daily bike rental demand using time series models to support allocation and operational decisions.

Bike Sharing Forecast - Time series forecasting for operational planning

Key Highlights

  • Identified seasonal demand patterns and temperature impact on rentals
  • Developed ARIMA model for short-term demand forecasting
  • Translated analytical results into operational planning recommendations

Selected Projects

Data Analytics & Machine Learning

Business Applications & Tools

Focus

Interested in roles involving:

  • Data analytics for operations
  • Project / program management in data-driven teams
  • Reporting, forecasting, and execution tracking

Skills & Tools

  • Data Analytics: R, Python, SQL
  • Methods: Time Series Analysis, Forecasting, Segmentation, Statistical Modeling
  • Tools: Excel, Power BI, Git

Contact

Popular repositories Loading

  1. SimpleBizPlanGithub SimpleBizPlanGithub Public

    A lightweight, interactive business plan generator for solopreneurs and small businesses. Quickly model 12-month financials, break-even analysis, and core business assumptions — all in one page.

    HTML

  2. AdvanceBizPlanGithub AdvanceBizPlanGithub Public

    An investor-ready business planning suite with 36-month financial modeling, scenario analysis, and deep-dive sections for market strategy, team, funding, and exit planning — built for startups seek…

    HTML

  3. Bike-Sharing-Forecast-Project Bike-Sharing-Forecast-Project Public

    Time series forecasting project in R: modeled bike rental demand using ARIMA, STL decomposition, and stationarity testing

    HTML

  4. Superstore-Sales-Dashboard Superstore-Sales-Dashboard Public

    Excel dashboard analyzing Superstore sales performance with KPIs and YoY growth.

  5. Superstore-RFM-Customer-Segmentation Superstore-RFM-Customer-Segmentation Public

    Customer segmentation using RFM (Recency, Frequency, Monetary) analysis to identify key customer groups and improve marketing strategies.

    HTML

  6. Superstore-Predictive-Customer-Analytics Superstore-Predictive-Customer-Analytics Public

    Predictive analytics project using R to estimate customer lifetime value (CLV) and churn risk from RFM segmentation results. Supports data-driven retention and marketing strategies.

    HTML