Python Data Cleaning: Housing Dataset Case Study
Cleaned and transformed a housing dataset using Python (Pandas & NumPy), handling missing values, duplicates, and inconsistent formats to prepare the data for analysis and modeling.

"Transforming complex data into intelligent solutions."
Data Scientist skilled in Python, Machine Learning, and SQL.
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Cleaned and transformed a housing dataset using Python (Pandas & NumPy), handling missing values, duplicates, and inconsistent formats to prepare the data for analysis and modeling.
Performed exploratory data analysis and visualizations on a sales dataset, generating insights using Python libraries like Pandas, Matplotlib, and Seaborn.
Built a predictive model to identify potential customer churn using Python and scikit-learn, including data preprocessing, feature engineering, and model evaluation.
Deployed a machine learning model as a web app using Flask, demonstrating end-to-end pipeline from data cleaning to model predictions.