- Prepare, clean, and format large datasets for analysis and machine learning models- Design and develop a knowledge graph using Neo4j to model complex relationships in sustainability and veganism-Manage Google Cloud resources, including setting up environments for custom fine-tuning of LLaMA models and API development - Leverage Python and machine learning techniques to enhance data processing workflows and optimize model performance - Custom fine-tune LLaMA models while collaborating with the team to integrate the models into the company's website.

- Selected for a competitive data science fellowship where fellows create technical projects using tools such as Python 3, Jupyter Notebooks, Pandas, Numpy, Scikit-learn, and SQL- Participate in weekly courses and learn industry best practices for exploratory data analysis (EDA), feature engineering, data collection and processing, statistical modeling, data visualization, machine learning techniques, data science process, and big data

- Developed a full-stack application called InfoGuru in a 6-week project under mentor guidance- Enhanced web development and backend skills to create an app utilizing the OpenAI API for uploaded file insights

Conducted client interviews and entered financial data into the company's software while education them on tax return information and opportunities for improvement