Bengaluru, Karnataka, India
Summary
Led end-to-end data science workflows, from data collection to visualization, to deliver actionable insights and support team decision-making.
Highlights
Conducted comprehensive end-to-end data science workflows, including data collection, preprocessing, and visualization, to ensure data integrity and readiness for analysis.
Implemented diverse machine learning models (regression, classification, clustering) utilizing Python libraries such as Pandas, NumPy, Matplotlib, Seaborn, and Scikit-learn, enhancing predictive capabilities.
Developed interactive dashboards and analytical reports, effectively communicating complex insights to the team and facilitating data-driven decisions.
Participated in real-world data science projects, gaining practical exposure to model deployment and version control systems (Git).