Hello, it's me!

SELAM SALEH

I am |

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Data Science and Analytics graduate with hands-on experience in Python, SQL, R, and machine learning. I build projects in predictive modeling and data analysis to uncover insights and solve real-world problems.


ABOUT

I recently completed the Honours Bachelor of Data Science and Analytics, where I developed a strong foundation in data analysis, machine learning, statistics, and computer science.

Through hands-on coursework in machine learning, predictive analytics, and data visualization, I gained experience working with real-world datasets and building data-driven solutions.

I am currently focused on building projects and pursuing opportunities in data science and analytics.


PROJECTS

Bank Customer Churn Prediction

Built an end-to-end machine learning pipeline to predict customer churn using behavioral and transactional data. XGBoost achieved the best performance across precision, recall, and F1-score.

Key insight: Customer inactivity and declining transaction behavior are the strongest predictors of churn.

Tech: Python, Scikit-learn, XGBoost, SMOTE

GitHub Notebook

Melanoma Risk Classification Using Deep Learning and Clinical Metadata

Developed a hybrid deep learning and machine learning pipeline for melanoma risk classification using dermoscopic images and patient metadata.

The project combines ResNet18 CNN feature extraction with Logistic Regression optimized for highly imbalanced medical classification problems.

Key insight: Threshold tuning and precision-recall optimization significantly improved melanoma detection performance on minority-class samples.

Tech: Python, PyTorch, Scikit-learn, Gradio, Hugging Face Spaces

GitHub Live Demo

Live Job Market Analytics Pipeline

Developed an end-to-end data analytics pipeline that collects live job postings from multiple online sources using APIs and web scraping.

The pipeline stores data in SQLite, performs automated cleaning and skill extraction, and delivers labor market insights through interactive Tableau dashboards.

Key insight: Python, SQL, and Tableau consistently emerged as the most requested skills across Data Analyst, Data Scientist, and Business Intelligence roles.

Tech: Python, SQLite, Pandas, APIs, Web Scraping, NLP, Tableau

GitHub Dashboard

SKILLS

Programming

Python, SQL, R, Git, Jupyter Notebook

Data Analysis

Pandas, NumPy, Excel, Data Cleaning, Exploratory Data Analysis

Data Visualization

Tableau, Power BI, Matplotlib, Dashboard Development

Machine Learning

Classification, Regression, Model Evaluation, Scikit-learn, XGBoost

Deep Learning & NLP

PyTorch, CNNs, Feature Extraction, Text Mining, NLP

Data Engineering

APIs, Web Scraping, SQLite, ETL Pipelines, Automation


CONTACT

Email: selam.saleh098@gmail.com

GitHub | LinkedIn