I will build a sales forecasting tool using ml in python
Data Scientist and ML Engineer Crafting Custom AI Solutions
About this Gig
Struggling to predict your future sales? Let data do the work.
I will build you a professional Sales Forecasting Tool using Machine Learning in Python so you can predict future revenue, plan inventory, and make smarter business decisions with confidence.
What you'll get:
Clean, accurate ML model trained on your sales data
Forecasting using proven algorithms (XGBoost, scikit-learn, or TensorFlow)
Data cleaning & preprocessing included
Interactive visualizations.
Well-commented, easy-to-understand Python code
Full project delivery via Jupyter Notebook or Python script
Models I use based on your needs:
- XGBoost / Random Forest is best for structured sales data
- LSTM (Deep Learning) is best for long-term time series
- Linear & Ridge Regression best for simple, fast forecasting
Perfect for:
E-commerce stores track monthly revenue
Retail businesses forecasting product demand
Anyone with historical sales data wanting future insights
What I need from you:
Your sales dataset (Excel, CSV, etc.)
The time period you want to forecast
Any specific features (product category, region, etc.)
Not sure if your data is ready? Message me first, I'll tell you honestly what's possible before you order.
Programming language:
Python
Frameworks:
Scikit-learn
•
Keras
•
PyTorch
•
Panda
APIs:
Google Cloud Vision API
Tools:
Jupyter Notebook
•
TensorFlow
•
Excel
•
Colab
My Portfolio
FAQ
What format should my data be in?
CSV, Excel (.xlsx), or Google Sheets — any of these work perfectly. If your data is messy or incomplete, I'll clean it as part of the project.
I have very little data. Can you still build a model?
I recommend at least 3–6 months of historical sales data for reliable predictions. If you have less, message me first and I'll advise you honestly.
Will I be able to use the tool myself after delivery?
Yes. I deliver clean, well-commented Python code with clear instructions so you can run it yourself or hand it to your team easily.
Which package should I choose?
If you just want a quick forecast — go Basic. If you need accuracy and detailed insights — go, Standard. If you want a full professional solution— go Premium.
Do you offer revisions if the results aren't accurate?
Yes. Every package includes revisions. If the model underperforms on your data, I'll re-tune it until we get the best possible accuracy.
Can you forecast for a specific product or region?
Absolutely. Just share your dataset with those columns, and I'll build the model around your specific business needs.
What if I need something not listed in the packages?
Message me before ordering — I offer custom packages for unique requirements and larger datasets.

