I will build a data analysis dashboard using Python and machine learning

I help you turn raw data into clear insights and predictive models using Python, Scikit-learn, and Streamlit.

This offer covers exploratory data analysis, model building, and final delivery, depending on the package you choose. I handle the full process myself, from cleaning your dataset to explaining what the results actually mean for your decisions, with clear updates throughout the project so you always know where things stand.

What you will get:

• A clean, well-documented exploratory data analysis with visualizations and key insights drawn from your dataset
• A trained classification or clustering model, evaluated with proper performance metrics rather than just accuracy alone
• Threshold tuning and careful handling for imbalanced datasets are relevant to your specific problem
• An interactive Streamlit dashboard so you can explore predictions yourself, rather than only reading a static report
• Clean, documented source code handed over at the end of the project

I previously built a workforce attrition prediction system using a VotingClassifier ensemble of Random Forest, Gradient Boosting, and Logistic Regression, combined with KMeans clustering to segment employees by risk level. That same careful approach and attention to detail carry into every project I take on, regardless of size or complexity.

Send me your dataset along with your goal, and I will recommend the right package for your needs and flag anything that needs clarifying before we start any work. Clear communication and accurate, trustworthy results matter more to me than rushing through delivery just to finish quickly.