I will build python data science scripts, machine learning models and eda

Unstructured data and surface-level analysis cause missed business opportunities and operational latency. I build production-grade Python workflows, exploratory data pipelines, and machine learning models that automate complex data processing, uncover statistical patterns, and predict critical business metrics.

TECHNICAL DELIVERABLES

* Advanced Data Prep: Custom Pandas & NumPy pipelines for dataset parsing, missing value imputation, outlier detection, scaling, and feature engineering.

* Exploratory Data Analysis (EDA): Statistical profiling, correlation metrics and visualizations using Seaborn and Matplotlib.

* Predictive Machine Learning: Supervised & unsupervised models built via Scikit-Learn:

 - Classification & Risk: Logistic Regression, Random Forests, Decision Trees (e.g., employee churn, cancellation risk).

 - Regression & Valuation: Log-transformed linear models, feature importance scoring (e.g., pricing engines).

 - Unsupervised Clustering: K-Means & PCA for behavioral customer segmentation.

 - Predictive Maintenance: Real-time sensor anomaly detection.

* Code Standards: Clean, modular Python code delivered in Jupyter Notebooks (.ipynb) or .py script