• Collaborated with the team members to understand client requirements and business challenges. Worked on a client project where machine learning algorithms like decision tree, xgboost, random forest algorithm were applied and achieved 95% test accuracy. Played a key role in the project team and ensured timely submission of the projects.• Analyzed datasets to understand underlying patterns, distributions, and relationships. Used tools like Python, Pandas, Matplotlib, and Seaborn to generate visualizations such as histograms, scatter plots, and heatmaps.• Cleaned and transformed raw data by handling missing values, outliers, and duplicate records. Standardized/normalized data, and dealt with categorical variables using encoding techniques like one-hot encoding and label encoding.