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