Data Science and Cloud Intern

Job Description

• Data Collection and Preparation: Bringing together information from different sources, cleaning it, and making sure it’s ready for analysis
• Exploratory Data Analysis: Examining large datasets, both structured and unstructured, to spot patterns, trends, and unusual findings
• Model Building and Evaluation: Creating machine learning models and algorithms, then testing them to ensure accuracy and effectiveness
• Predictive Modeling: Using statistical methods to build models that can forecast outcomes and support better planning
• Automation and AI Integration: Simplifying tasks and processes through programming and AI tools
• Data Visualization: Turning results into clear reports, dashboards, and visualizations that make insights easy to understand
• Communication and Collaboration: Working closely with different teams to make sure data-driven insights are put into action
• Continuous Learning: Keeping skills up to date by exploring new tools, technologies, and approaches in data science