STUDENT DATA ANALYST @ BOSCH

Recognition
  • Achieved 3rd Place ranking at the UC Irvine Capstone Showcase for a project that delivered significant business value.

Forecasting & Predictive Modeling
  • Improved weekly turnover rate (WTR) forecast accuracy to 90% by implementing a Time Series model that integrated open order value and existing sales forecasts, providing the business with more reliable insights for strategic planning.

  • Developed a predictive data model using XGBoost to identify key drivers of open order value, creating a clear strategy for converting open orders into invoiced sales and accelerating revenue recognition.

Data Visualization & Reporting

Transformed raw data into a centralized, real-time reporting hub by designing and building a Power BI dashboard. This tool provided leadership with critical, at-a-glance visibility into invoicing performance and key operational KPIs, empowering faster, data-driven decisions.

Fulfillment Trends Analysis

Conducted a deep dive into historical fulfillment trends using Tableau. This analysis uncovered critical performance gaps, including:

  • High-revenue customers and regions as hotspots for backorders.

  • High-demand products with consistently low confirmation rates, signaling systemic availability issues.