<p style="margin: 0px; font-style: normal; font-variant-caps: normal; font-width: normal; font-size: 13px; line-height: normal; font-family: 'Helvetica Neue'; font-size-adjust: none; font-kerning: auto; font-variant-alternates: normal; font-variant-ligatures: normal; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-position: normal; font-feature-settings: normal; font-optical-sizing: auto; font-variation-settings: normal; text-align: justify;">&bull;⁠ ⁠Worked on real-time data-driven projects, involving data cleaning, preprocessing, visualisation, and predictive modelling.<br />&bull; Utilised tools and technologies such as Python, Pandas, NumPy, Matplotlib, and scikit-learn for data analysis and machine learning tasks.<br />&bull; Assisted in developing and evaluating machine learning models to solve classification and regression problems.<br />&bull; Performed exploratory data analysis to identify trends, patterns, and insights using large datasets.<br />&bull; Collaborated with the data science team to build and deploy end-to-end data science solutions.<br />&bull; Presented project outcomes and insights through interactive dashboards and visual reports using Power BI.<br />&bull; Applied statistical techniques and algorithms to support decision-making and business problem-solving.</p>