In my role as a Data Scientist at GiantMind Solutions, I spearheaded data collection for LLM RLHF training to enhance model performance. I also created Tableau dashboards for performance monitoring and collaborated with teams to improve data evaluation tools and prompt engineering.

Responsibilities:1. Collaborated with a dynamic team on AI product/service prototyping, leveraging cutting-edge technologies including PCA (Principal Component Analysis) algorithm for feature reduction and dimensionality reduction.2. Applied unsupervised learning techniques such as clustering (e.g., K-means, DBSCAN) for market segmentation, providing strategic insights and customer segmentation analysis.3. Developed AI product/service business and financial models, integrating insights from data-driven market segmentation to support strategic decision-making.Achievements:1. Successfully implemented PCA algorithm to optimize feature selection and enhance model performance in AI prototyping projects.2. Applied unsupervised learning methods to identify distinct customer segments, leading to targeted marketing strategies and improved customer engagement.3. Received mentorship and guidance from industry experts, gaining proficiency in Python for data analysis and machine learning applications.