WEB DEVELOPMENT

• Develop tools and platforms for data analysis, modeling, and visualization.
• Provide cloud infrastructure to store and process large datasets.
• Enable automated machine learning (AutoML) to speed up model building.
• Offer scalable solutions for big data processing (e.g., Apache Spark, Hadoop).
• Create business intelligence tools for decision-making and reporting.
• Ensure data security, compliance, and governance across platforms.
• Support deployment of machine learning models into production environments.
• Facilitate collaboration between data scientists, engineers, and business teams.
• Deliver training, documentation, and support for data science tools.
• Offer consulting services to help organizations implement data-driven solutions.