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Fiverr Pro
English
$
USD
I will predict sales and customer behavior using machine learning
About this Gig
Turn Messy Data into Powerful Machine Learning Predictions
Are you guessing your next business move? Stop leaving revenue to chance. Many freelancers build models on raw, unorganized data, leading to inaccurate forecasts. I use Python (Pandas) to deeply clean your data first, ensuring 100% accurate predictions.
Whether you need to forecast sales, predict demand, or analyze customer behavior, I build tailored Machine Learning models to solve your business problems.
What I Offer:
Data Cleaning & Feature Engineering (Python Pandas)
Machine Learning Models (Scikit-learn, Classification, Regression)
Sales & Demand Forecasting (Time-series analysis)
Customer Churn & Behavior Prediction
Clear Insights & Actionable Summaries
Tools Used:
Python, Jupyter Notebook, Pandas, NumPy, Scikit-learn, Excel.
Why Choose Me?
I don't just write code; I focus on solving your specific business problem. Clean data means accurate predictions, clear explanations, and reliable delivery.
Stop guessing. Start predicting. Please send me a message before ordering so we can discuss your dataset requirements!
My Portfolio
FAQ
What kind of data do I need to provide for a machine learning model?
To make accurate predictions, machine learning models require historical data. For example, if you want to forecast sales, a file containing 1-3 years of daily or weekly transactional data is ideal. I accept Excel spreadsheets, CSVs, SQL database dumps, or Google Sheets.
Will you give me the actual code or just the final prediction results?
You get both! I deliver a cleanly documented, well-structured Jupyter Notebook (.ipynb file) containing the end-to-end Python code, alongside a clean CSV or spreadsheet containing the final predicted outcomes. If you choose the Premium tier, you also receive a Power BI file to visualize the trends d
What happens if my data isn't clean or formatted properly?
Don't worry at all! Data cleaning is my absolute specialty. Part of every machine learning tier involves deep data preprocessing where I use Python (Pandas) to eliminate duplicates, handle null variables, and structure your messy files perfectly before feeding them into the predictive model.
