Talal El-Houni
MSc in Health Data Science, skilled in Python and SQL, turning data into strategic insights in healthcare and market research.
Driven by the potential of technology to improve lives, ready for fresh challenges with a mix of analytical prowess and creative problem-solving.
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Portfolio
Synthesising Privacy: Generating Time-Series Data for Mental Health Monitoring with TimeGAN
Description
This project applied Time-series Generative Adversarial Networks (TimeGAN) to the CrossCheck dataset for generating synthetic time-series data, aiming to monitor severe mental illness symptoms while addressing privacy concerns. It demonstrates that synthetic data can closely mimic real datasets in statistical properties and temporal dynamics.
Tools
- Pandas: For data manipulation and analysis.
- NumPy: For numerical computing with Python.
- Scikit-learn: For machine learning and data preprocessing.
- TensorFlow: For building and training the TimeGAN model.
- Matplotlib & Seaborn: For data visualisation.
- Python Standard Libraries:
Pathfrom pathlib: For filesystem path operations.tqdm: For progress bars during data processing and model training.
Dynamic Sales Dashboard Creation in Excel for Retail Insights
Description
This project showcases the creation of an Excel dashboard for analysing sales performance, leveraging SQL for data preparation and offering in-depth insights through dynamic visualisations and comprehensive analysis.
Tools
- SQL: For data extraction and preparation.
- Excel: Utilised for creating pivot tables, dynamic dashboards, and data visualisation.
Mapping Health: Interactive Analysis of Flu Vaccination Trends
Description
This project recreates a public health dashboard to analyse and visualise flu shot distribution in 2022 by age, race, and county. It leverages SQL for data handling and Tableau for dynamic visualisations, employing PostgreSQL and pgAdmin for data management. The project highlights the effective use of technical skills to transform complex datasets into actionable public health insights.
Tools
- SQL: For database querying and manipulation.
- Tableau: For creating dynamic and interactive visualisations.
- PostgreSQL & pgAdmin: For database management and administration.
- Spreadsheet Software: For initial data analysis and manipulation.
- ODBC: For database connectivity and integration with Tableau.
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