I'm an Industrial Chemistry graduate with a passion for Data Analytics, Machine Learning, and Data Visualisation. I enjoy transforming raw and complex datasets into meaningful insights through interactive dashboards, predictive models, and data-driven applications.
My goal is to combine analytical thinking with domain knowledge to solve real-world challenges in manufacturing, logistics, sustainability, and industrial operations.
I'm continuously expanding my skills by building hands-on projects using SQL, Python, Tableau, R, Flask, and modern data visualisation tools.
- π Building end-to-end data analytics projects
- π€ Learning Machine Learning through practical projects
- π Creating interactive dashboards with Tableau
- π Developing data-driven web applications using Flask
- π§ͺ Applying analytics to industrial and manufacturing datasets
- Python
- SQL
- R
- HTML
- CSS
- JavaScript
- React
- Tableau
- Excel
- Chart.js
- Pandas
- NumPy
- Scikit-learn
- Matplotlib
- Model Evaluation
- Feature Engineering
- Flask
- Jinja2
- MySQL
- REST APIs
- Git
- GitHub
- VS Code
- Jupyter Notebook
- RStudio
- Industrial Data Analytics
- Manufacturing Analytics
- Supply Chain Analytics
- Sustainability Analytics
- Business Intelligence
- Machine Learning
- Predictive Analytics
- Data Visualisation
- Advanced SQL
- Machine Learning
- Tableau Dashboard Design
- R Programming
- Statistical Analysis
- Flask Backend Development
- Build ChemTech tools that simplify lab and industrial data workflows
- Grow a portfolio blending React interfaces with scientific data visualiastion
- Contribute to open-source scientific and educational technology projects
- LinkedIn: https://www.linkedin.com/in/khadija-ismail-211223293
- Twitter/X: https://x.com/reactwithdee
- Kaggle: https://www.kaggle.com/deeeja
- Tableau: https://public.tableau.com/app/profile/khadija.goni/vizzes
- Email: khadijaismail696@gmail.com
βIn the world of atoms and bits, Iβm the bridge.β

