I will build a machine learning model for prediction or classification
Data Analyst and Statistical Analysis, Reports and ML Solutions
About this Gig
You have data and want to predict future outcomes. I build machine learning models that actually work trained, evaluated, and ready to use.
I build models for:
Sales forecasting (predict future revenue)
Customer churn prediction (who will leave?)
Loan approval / risk assessment
Disease diagnosis from patient data
Ad click prediction
Any classification or regression problem
What you get:
Trained ML model (pickle or joblib file)
Python training script with comments
Model evaluation report (accuracy, precision, recall, F1)
Feature importance analysis
Instructions for using the model
Tools: Python (scikit-learn, pandas, numpy), XGBoost, Random Forest, Logistic Regression, SVM.
I'm a Statistics graduate with 36+ data projects including heart disease prediction, loan prediction, ad click prediction, and more.
Message me with your dataset and what you want to predict.
Programming language:
Python
•
SQL
Frameworks:
Scikit-learn
•
Keras
•
PyTorch
•
Panda
Tools:
Jupyter Notebook
•
TensorFlow
•
Excel
•
Colab
My Portfolio
FAQ
What kind of data do you need?
Clean CSV or Excel with a target column (what you want to predict).
Can you handle messy data?
Yes, data preprocessing is included in the process.
What if I need the model deployed?
Contact me for custom deployment solutions.
Can you work with image or text data?
This gig covers structured/tabular data. Contact me for other types.

