// Available for opportunities

Unzila
Hamid

Data Scientist · ML Engineer · Web & Mobile Developer

Aspiring Data Scientist with hands-on experience in ML pipelines, Web & Mobile Development. Passionate about building end-to-end solutions and generating actionable insights from data.

View Projects → Get In Touch 🌐 Live App

ML Projects

98%

Best Accuracy

3.82

CGPA / 4.0

GitHub Repos

// 01. about me

Who I Am

Hi! I'm Unzila Hamid, a passionate Data Scientist and ML Engineer currently pursuing my B.Eng. in Science & Technology at Quaid-e-Awam University with a CGPA of 3.82/4.0.

I specialize in building end-to-end machine learning pipelines — from data cleaning and EDA to model training, evaluation, and deployment. I love turning raw data into meaningful insights.

Beyond data science, I have experience in web development and Flutter mobile app development, making me a versatile developer who can build complete solutions.

Email khanzadaunzila123@gmail.com

Location Pakistan

GitHub github.com/unzilakhanzada

🤖

Machine Learning

Sklearn · TensorFlow

📊

Data Science

Pandas · NumPy · SQL

📈

Visualization

Matplotlib · Seaborn

🚀

Deployment

Streamlit · joblib

// 02. skills

Tech Stack

Programming & Tools

PythonSQL PandasNumPy Scikit-learnJupyter

Machine Learning

Logistic RegressionDecision Tree Random ForestGradient Boosting StackingGridSearchCV Cross-Validation

Data Visualization

MatplotlibSeabornPlotly

Web & Mobile

HTMLCSS JavaScriptFlutter

Deployment & Design

StreamlitjoblibFigma

Data Handling

EDAFeature Engineering Data CleaningStandardScaler OneHotEncoder

// 03. experience

Work History

2022 – 2023

Web Development Intern

Quaid-e-Awam University — Software Department

Built responsive web pages using HTML, CSS, and JavaScript
Collaborated on team projects and maintained codebase

Internship

Flutter Mobile App Intern

Mobile App Development

Gained hands-on experience with Flutter widgets and mobile UI development
Built cross-platform mobile applications using Dart and Flutter

// 04. projects

Featured Work

PROJECT_01

Heart Disease Prediction System

Built full ML pipeline with StandardScaler, OneHotEncoder, SimpleImputer
Compared 5 models: Logistic Regression, Decision Tree, Random Forest, Gradient Boosting, Stacking
Applied GridSearchCV with StratifiedKFold for hyperparameter tuning

PythonScikit-learn PandasGridSearchCVjoblib

✅ 98% Accuracy — Optimized Stacking Classifier

PROJECT_02

Adult Income Prediction

Predicted whether income exceeds $50K using US census demographic data
Performed EDA and feature engineering on age, education, occupation attributes
Built and evaluated multiple classification models achieving high accuracy

PythonPandas Scikit-learnSeabornMatplotlib

📊 High Accuracy Classification Model

PROJECT_03

Live Data Science Web App

Built and deployed a live interactive data application accessible on the web
Implemented data visualization and analysis features for end users
Fully deployed and accessible live on Streamlit Cloud

PythonStreamlit PandasMatplotlib

🌐 View Live App →

// 05. education

Academic Background

B.Eng. Science & Technology

Quaid-e-Awam University

Software Department

2022 – Present

3.82

CGPA / 4.0

🎓

Google UX Design

Coursera

🏅