I will build time series forecasting model using lstm or prophet in python

Accurate forecasting helps businesses anticipate trends, optimize planning, and make data-driven decisions.

I build AI-powered time-series forecasting systems using LSTM networks and Prophet models to predict future trends from historical data.

Ideal for analytics platforms, startups, retail, operations, finance, IoT, energy systems, and business intelligence applications.

What I deliver:

• Time-series forecasting model
• LSTM and Prophet implementation
• Data preprocessing workflows
• Trend and seasonality analysis
• Feature engineering pipeline
• Forecast dashboards and visualization
• Model evaluation and optimization
• API integration support
• Deployment assistance

Use cases:

• Sales forecasting
• Demand prediction
• Traffic analytics
• Energy forecasting
• Business intelligence
• Operational planning

Technologies:

Python, TensorFlow, Prophet, pandas, NumPy, time-series libraries.

Turn historical data into predictive insightscontact me to get started.