• ⁠ ⁠Worked on real-time data-driven projects, involving data cleaning, preprocessing, visualisation, and predictive modelling.
• Utilised tools and technologies such as Python, Pandas, NumPy, Matplotlib, and scikit-learn for data analysis and machine learning tasks.
• Assisted in developing and evaluating machine learning models to solve classification and regression problems.
• Performed exploratory data analysis to identify trends, patterns, and insights using large datasets.
• Collaborated with the data science team to build and deploy end-to-end data science solutions.
• Presented project outcomes and insights through interactive dashboards and visual reports using Power BI.
• Applied statistical techniques and algorithms to support decision-making and business problem-solving.