I'm a chemist and Application Scientist at Dotmatics, with a passion for Machine Learning, Artificial Intelligence, and Data Engineering. I specialise in applying data science and engineering techniques to scientific research and enterprise applications, helping scientists and organisations make smarter, data-driven decisions.
- Application Scientist at Dotmatics: I support customers in leveraging Dotmatics software for scientific research, including integrating, analysing, and visualising complex datasets. I help implement data workflows and ensure smooth adoption of scientific informatics solutions.
- Data Analysis & Visualisation: I develop tools to extract insights from experimental and business datasets.
- Machine Learning Applications: Applying ML algorithms to predict material properties and optimise experimental processes.
- Data Integration & Engineering: Skilled in integrating data via REST and SOAP APIs, building pipelines with Apache NiFi, Databricks, and Sigma Computing.
- Scientific Software Development: Creating applications to streamline data processing and enhance reproducibility in research.
- Programming Languages: Python, SQL (Oracle SQL, Spark SQL)
- Data Engineering & Processing: Apache NiFi, Databricks, Sigma Computing, REST & SOAP APIs
- Frameworks & Libraries: Streamlit, Pandas, NumPy, SciPy, Matplotlib, Scikit-learn
- Tools: Git, GitHub, Docker
Some highlighted repositories:
- Streamlit-BandGap-App – Web app for analysing energy band gaps from reflectance spectra of semiconducting materials.
- XPS_DataAnalysis_Streamlit – Tool for X-ray photoelectron spectroscopy data analysis.
- SEM_Analysis_Streamlit – Software for scanning electron microscopy data analysis.
- HSR-Rig-Project – High-speed reaction rig data analysis.
- EC-Lab-Data-Analysis-and-Visualisation – Tool for analyzing electrochemical lab data.
- Advanced machine learning techniques
- Data engineering best practices
- Reproducible research workflows
Feel free to explore my repositories, contribute to projects, or reach out for collaboration!
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