As a Data Scientist Intern at Vitez Software, I conduct exploratory data analysis to uncover patterns and trends in large datasets and implement feature engineering techniques to improve model performance and interpretability. I work closely with the development team to design capstone projects in the data science domain, including data collection, preprocessing, and initial analysis.I have also implemented real-time dashboards for school performance and sales analytics, resulting in an increase in student retention and growth in sales revenue. Additionally, I have demonstrated a dedicated work ethic and collaborative spirit, significantly contributing to a noteworthy reduction in customer churn and a substantial increase in customer lifetime value. I have a solid foundation in machine learning and deep learning methodologies, and I specialize in deriving actionable insights from intricate datasets.I hold a Master of Technology degree in Nanoscience and Technology from Pondicherry University, where I gained exposure to various nanomaterials and applications. I also obtained certifications in TensorFlow Developer and Probability and Statistics for Business and Data Science from Udemy. I am actively seeking a role within an organization that nurtures professional development, appreciates dedication, and provides a platform for expanding my skill set, capabilities, and knowledge.