I help clients turn raw datasets into clear insights and reliable ML results using Python. I can clean messy data, run exploratory analysis, build baseline ML models, evaluate performance, and deliver a reproducible notebook/script with clear explanations.

Data cleaning (missing values, duplicates, outliers, inconsistent formats)

EDA (trends, correlations, segments, visualizations)

Feature engineering for ML

Train/evaluate ML models (baseline → improved)

Summarize findings and next steps in plain language

Cleaned dataset + reproducible Python notebook/script

Visualizations + key findings

Model + evaluation metrics (if modeling is included)

Short written summary + recommendations

Dataset (CSV/Excel)

Your goal (predict, classify, segment, understand)

Target column (if supervised learning) + any constraints