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Devangdaksh / Product-Optimization-Revenue-Contribution-Analytics-Dashboard-Python-Pandas-Plotly-Streamlit

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Developed a product analytics dashboard to evaluate product popularity, revenue contribution, and category-level performance for a specialty coffee retailer. Implemented Pareto analysis, revenue concentration metrics, product ranking models, and interactive visualizations to identify revenue-driving products and support menu optimization strategies

analytics data-visualization data-engineering data-analysis business-analytics dashboard-application buss
  • Updated Jul 11, 2026
  • Jupyter Notebook

sAI-2025 / NYC-Taxi-Demand-Forecasting-Time_Series_Prediction-ML-XgBoost-RF-LinearRegression-EMA-WMA

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A real-time time series project to predict NYC Yellow Taxi demand 10 minutes ahead using ML models like Linear Regression, Random Forest, XGBoost, EMA, and WMA. Helps optimize fleet usage, improve dispatch efficiency, and support smarter decisions in urban mobility.

python data-science machine-learning sql vscode pandas data-visualization data-analysis matplotlib jupyter-notebooks business-analytics buss
  • Updated Apr 30, 2025
  • Jupyter Notebook

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