I can help you conduct time series forecasting using R

Why Hire Me?

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I bring 7+ years of experience in data analytics with a specialization in time series forecasting using R. I help clients from various sectors predict future trends and patterns accurately, turning temporal data into clear, actionable forecasts.

What Sets Me Apart:

• Skilled in ARIMA, ETS, STL, and dynamic regression models

• Proficient in forecast, tseries, fable, and tsibble packages

• Capable of handling irregular time series, seasonal trends, and missing data

• Focus on diagnostic accuracy, model validation, and practical interpretation

• Reports and forecasts presented clearly for both technical and business teams

What I Need to Start Your Work

To deliver accurate forecasting and meaningful reporting, I will require:

1) Project Description and Goals

• Clear overview of what needs to be forecasted

• Any specific KPIs, hypotheses, or questions to address

2) Time Series Dataset Information

• File format and data frequency (daily, weekly, monthly, etc.)

• Time span of the data

• Key variables to focus on

• Status of data cleaning or preprocessing

3) Forecasting Methods and Tools

• Preferred forecasting technique(s): ARIMA, ETS, Prophet, etc.

• Specific packages you want used (if any)

• Existing R scripts, if available

4) Report Output Expectations

• Format required: PDF, Word, R Markdown HTML

• Desired sections (e.g., Introduction, Model Summary, Forecast Output)

• Visualizations expected (e.g., forecast plots, residual diagnostics)

5) Privacy and Data Security Requirements

• Any legal or institutional guidelines for confidentiality

• Secure data transfer preferences

6) Timeline and Deadlines

• Final submission date

• Check-in or milestone expectations

7) Communication Preferences

• Preferred channels (WhatsApp, Email, Google Docs)

• Frequency of updates

8) Additional Notes

• Specific industries (e.g., retail, finance, climate)

• Past examples you want to mirror

• Formatting/citation preferences if used for publication