I will forecast your monthly sales and explain the results in plain language
Fraud and Anomaly Detection for Ecommerce, Powered by Data Science
About this Gig
Do you decide how much to buy, hire or spend based on gut feeling? Let's replace guessing with a forecast you can actually understand.
I analyze your historical sales or demand data and deliver a clear forecast for the coming months, with a realistic range (not one magic number) and a plain-language explanation of what drives it. Especially suited to e-commerce and retail, but any business with monthly sales history works.
WHAT YOU GET
Forecast with expected, best-case and worst-case range
Back-test: how accurate the method would have been on past months
Simple recommendations in business language
PDF report and Excel file you can reuse
MY APPROACH
Proven statistical and econometric methods (ETS, ARIMA, regression), chosen for your data, not for buzzwords. If your data isn't enough for a reliable forecast, I'll tell you honestly.
ABOUT ME
M.Sc. in Finance, specialized in Econometrics and Data Science. I explain results without jargon.
Unsure if your data is suitable? Message me before ordering with a small sample.
Technology:
Jupyter Notebook
•
Power BI
•
RStudio
Analysis type:
Quantitative analysis
•
Predictive analysis
Programming language:
Python
•
R
•
SQL
My Portfolio
FAQ
What data do I need to provide?
An Excel or CSV file with a date column and a sales (or demand) column. Ideally 24+ months of monthly data; weekly or daily also works. Extra columns like promotions or stockouts are a bonus.
How accurate will the forecast be?
It depends on your data, and nobody can honestly promise a number. I test the method on past months and show you how close it would have been, plus a realistic range, so you know how much to trust it.
What if my data is short or messy?
I'll tell you before I start. Gaps and outliers can usually be handled. If your data can't support a reliable forecast, I'll say so and suggest the best alternative instead of selling you numbers you shouldn't trust.
Do I need to know statistics to read the report?
No. The report is written in plain business language: what to expect, what is driving it and what to do about it. Technical details are kept to a minimum.

