Abdullah jutt

I’m a Software Engineering graduate focused on building end-to-end data science projects, from cleaning messy data to delivering machine learning models. I’ve developed hands-on, project-based experience using Python and core analytics libraries like Pandas, NumPy, and Scikit-learn.

Across self-directed projects in real estate, food, and healthcare, I work through missing values and outliers, then move into exploratory data analysis to uncover pricing drivers and performance patterns. I translate findings into clear visualizations using Seaborn and Matplotlib, so stakeholders can quickly understand what the data is saying.

I’m comfortable evaluating models with practical methods like cross-validation and confusion matrix analysis, and I apply hyperparameter tuning to improve results. In addition, I handle real-world preparation steps such as encoding categorical features and producing both classification and regression outputs.

I’m motivated by the challenge of taking raw, unstructured datasets and converting them into usable insights and reliable predictions. I’m now seeking an entry-level Data Science, Machine Learning, or Data Analyst role where I can keep growing and contribute with careful analysis and strong experimentation.