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Fiverr Pro
English
$
USD
I will forecast demand and sales using python time series models
I turn data into decisions, churn, forecasting, customer analytics
Help businesses turn raw data into actionable decisions — customer analytics, churn prediction, demand forecasting, dashboards.
Statistics student at Can Tho University (CTU), 7 hands-on GitHub projec...
About this Gig
Struggling to predict demand accurately across multiple products or locations?
I help businesses forecast demand and sales using Python-based time series models so you can plan inventory with confidence instead of guesswork.
What I offer:
- Exploratory data analysis & data cleaning
- Time series forecasting (SARIMAX, LightGBM, seasonal models)
- Statistical validation stationarity testing, residual diagnostics
- Forecast accuracy metrics (MAPE) with confidence intervals
- Multi-series forecasting at scale (product, store, or region level)
- Clear, business-ready reports and dashboards
Why work with me:
I'm a Statistics student with hands-on, portfolio-proven experience including a demand forecasting project covering 3,000+ store-department pairs, achieving 12.6% median MAPE. I don't just pick the model that looks best I validate assumptions rigorously and report honestly, including what didn't work.
Tools: Python (statsmodels, LightGBM, pmdarima), SQL, Streamlit.
Send me a message with a short description of your data (time period, number of series, seasonality) I usually respond within a few hours and I'm happy to clarify scope before you order.
My Portfolio
FAQ
What data do you need to get started?
Historical sales/demand data (CSV or Excel) with at least 1-2 years of weekly or monthly history works best. More history generally means more accurate forecasts. Not sure if your data is enough? Send a sample and I'll confirm before you order.
How many products or locations can you forecast at once?
Basic and Standard packages cover single or up to 10 series. For larger-scale forecasting (50+ products/stores), check the Premium package, which uses a hybrid multi-model approach to keep both speed and accuracy.
Will I understand the confidence intervals in the forecast?
Yes — every report includes plain-language explanations of forecast accuracy and uncertainty, not just raw numbers, so you can use the results directly for planning decisions.
