Data Science Intern
Developing machine learning models to solve complex problems.Developing algorithms to improve the accuracy and performance of machine learning models.Testing and validating machine learning models.Analyzing and interpreting data to identify patterns and trends.Implemented SQL queries to extract relevant data from databases, optimizing performance and efficiency in data retrieval processes.Conducted exploratory data analysis (EDA) using Python to uncover insights and patterns within datasets, guiding subsequent modeling efforts.Created interactive dashboards and visualizations in Tableau to present findings and key metrics to stakeholders effectively. Engaged in ongoing learning and professional development, staying updated on the latest advancements in Python, SQL, Machine learning, and Tableau.