I can help you conduct time series forecasting using Python

Why Hire Me?

I have 7+ years of hands-on experience in time series forecasting using Python, having developed predictive models for industries including retail, finance, climate, and operations. My solutions are business-focused and technically sound.

Why Clients Choose Me:

• Deep expertise in ARIMA, SARIMA, Holt-Winters, Prophet, and LSTM

• Proficient in pandas, statsmodels, scikit-learn, fbprophet, matplotlib

• Able to handle messy, irregular, or seasonal data

• Strong at communicating forecasts through visualizations and executive summaries

• Deliver clear, structured reports with Python + Jupyter Notebooks + R Markdown (via reticulate)

• Trusted by clients for reliable delivery and industry-specific modeling

What I Need to Start Your Work

Please provide the following before we begin the forecasting process:

1) Project Scope and Objectives

• Purpose of the forecasting project

• Business decisions you intend to support

• Research questions or hypotheses

2) Time Series Data Details

• File format (CSV, Excel, database)

• Frequency (daily, weekly, monthly, etc.)

• Duration covered by the data

• Target variable(s) and known seasonality/cycles

• Whether the data has been cleaned/preprocessed

3) Preferred Tools and Techniques

• Forecasting models to use (ARIMA, Prophet, ML models like LSTM or Random Forest)

• Libraries preferred: statsmodels, fbprophet, sklearn, pmdarima, etc.

• Any existing Python code, scripts, or notebooks

4) Report Structure and Deliverables

• Required sections (e.g., Executive Summary, Model Development, Forecast Plots, Residual Diagnostics)

• Format preference: PDF, Word, or Notebook

• Level of technicality: beginner-friendly or for expert audiences

• Type and number of visualizations

5) Privacy and Confidentiality Requirements

• NDA or confidentiality constraints

• GDPR/CCPA or other compliance needs

• Secure method of data transfer

6) Project Timeline

• Final deadline

• Intermediate check-ins or milestones

7) Communication Preferences

• Preferred platform (e.g., WhatsApp, Google Meet, Email)

• Update frequency

8) Any Additional Instructions

• Specific formatting, citations, client-specific language

• Domain-specific concerns (e.g., stock price volatility, retail seasonality)

• Examples to follow (if available)