. Trained AI model in math, computer science, data science, machine learning and coding.. Developed and curated training content to boost model accuracy across key technical topic.. Refined model responses to ensure clarity and precision in answering complex user prompts.

Assisted in the development of machine learning models. Conducted data preprocessing and feature engineering to improve model performance. Collaborated with senior data scientists to analyze and interpret complex datasets. Presented findings and insights to the team, contributing to strategic decision-making. Participated in weekly team meetings to discuss project progress, challenges, and solutions, fostering a collaborative environment. Presented findings and insights to the team, contributing to strategic decision-making and recommending actionable steps based on data analysis. Documented processes and methodologies to ensure reproducibility and knowledge sharing within the team.• Engaged in continuous learning by researching and applying the latest advancements in machine learning and AI technologies.

Finance, healthcare, and social sciences, to develop hands-on experience in the full data science lifecycle.• Utilized Python, SQL, and machine learning libraries such as NumPy, Pandas, Scikit-learn, and TensorFlow to performdata extraction, cleaning, exploration, modeling, and deployment• Collaborated with peer interns and faculty mentors to design efficient algorithms and implement state-of-the-arttechniques for predictive analytics, forecasting, and optimization.• Develop, test, and implement machine learning models using Python and other relevant tools and technologies.

Designed interactive sessions to teach fundamental data science concepts, techniques, and tools to students with diverseacademic backgrounds. Collaborated with student leaders to create a Data science mentorship program, matching underclassmen withexperienced upperclassmen for skill development.