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Business Dashboard

A Streamlit dashboard that surfaces trends, forecasts demand with Prophet, and flags anomalies so teams act faster.

Tools: Python • Streamlit • Prophet • Plotly • Pandas Role: Solo builder Users: Friends and early testers with real reporting needs

Problem

Small teams had sales and profitability data but no simple way to spot trends, forecast, or catch anomalies. Reports were manual and late, so decisions lagged.

Solution

I built a Streamlit dashboard with Prophet forecasting, anomaly detection, and Plotly visuals. Data prep used Pandas with configurable filters and date-grouping. UX prioritized speed to insight: KPIs up top, trends and drill-downs below.

Impact

Test users reduced weekly reporting time from hours to minutes and surfaced seasonal patterns they hadn’t seen. The anomaly view helped flag outliers that led to pricing and inventory fixes.

Role & Context

Solo project in ~2 weeks. End users were friends running small operations; I iterated based on their feedback. Tech: Python, Streamlit, Prophet, Plotly, Pandas.

KEY FEATURES

  • Time-Series Forecasting: Uses Facebook Prophet for demand forecasting with configurable parameters
  • Anomaly Detection: Automatically identifies outliers and unusual patterns in sales data
  • Interactive Visualizations: Plotly charts for trend analysis, forecasting, and anomaly visualization
  • Data Filtering: Configurable date ranges and grouping options for flexible analysis
  • KPI Dashboard: Key metrics displayed prominently for quick insights
  • Export Capabilities: Export forecasts and analysis results

SKILLS DEMONSTRATED

Data Cleaning Time Series Analysis Forecasting Anomaly Detection Data Visualization Streamlit Development Python Pandas Plotly Prophet

TECHNOLOGIES USED

Python Streamlit Prophet Plotly Pandas NumPy

Demo

Gallery

Business Dashboard landing page showing Streamlit analytics dashboard with KPIs and forecasting features
Business Dashboard main page displaying interactive data visualizations and business metrics
Business Dashboard analytics view with time-series charts and performance indicators
Facebook Prophet forecasting results showing predicted business trends and future demand
Time-series forecasting visualization with Prophet model predictions and confidence intervals
Anomaly detection dashboard identifying outliers and unusual patterns in business data
Profitability analysis dashboard showing revenue, costs, and profit margins
Data export functionality allowing users to download forecasts and analysis results
Data upload interface for importing CSV and Excel files into the dashboard
File upload process with data validation and preview features
Dashboard help documentation explaining features and usage instructions
User guide and tutorial information for the Business Dashboard application

CHALLENGES & SOLUTIONS

Challenge: Time-series data required careful preprocessing and handling of missing values
Solution: Implemented robust data cleaning pipelines with Pandas, handling missing values and ensuring consistent date formats before feeding into Prophet.
Challenge: Prophet model parameters needed tuning for accurate forecasts
Solution: Used cross-validation and experimentation to find optimal Prophet parameters, balancing forecast accuracy with computational efficiency.
Challenge: Creating intuitive visualizations for both technical and non-technical users
Solution: Designed clear Plotly charts with interactive tooltips and clear labels, making complex forecasts and anomalies accessible to all users.

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