Expertise in federated learning for decentralised data security and standardisation, leveraging Hadoop for efficient data pipeline management before cloud deployment.
Designing and developing web applications with a strong focus on user experience, accessibility, and intuitive interaction.
Expertise in distributed computing, cloud infrastructure (AWS, Azure), and virtualisation technologies for scalable applications.
Proficient in SQL and NoSQL databases, indexing, query optimization, and managing large-scale database architectures.
Creating compelling and interactive visualisations using tools like Tableau, Power BI, and Python libraries.
Strong foundation in Python, R, and statistical programming, covering data manipulation, analysis, and algorithm development.
Experience with graph databases like Neo4j and modern distributed database systems.
Designing ETL processes, building data warehouses, and utilizing BI tools for data insights.
Working with big data technologies like Hadoop, Spark, and Kafka to process and analyze large datasets efficiently.
Applying machine learning techniques using TensorFlow, Scikit-Learn, and deep learning models.