Data Analytics Intern
Segmentation
I served as a Data Analytics Intern focusing on analyzing student performance data. My responsibilities included deriving key insights from large educational datasets and creating visualizations of findings. The role required strong skills in Python, SQL, and machine learning concepts. • Analyzed student datasets using Python and SQL.
• Visualized data with Matplotlib and Seaborn to present findings.
• Conducted EDA to identify performance metrics and learning gaps.
• Applied K-Means clustering for user segmentation and data-driven marketing strategies.
I served as a Data Analytics Intern focusing on analyzing student performance data. My responsibilities included deriving key insights from large educational datasets and creating visualizations of findings. The role required strong skills in Python, SQL, and machine learning concepts. • Analyzed student datasets using Python and SQL. • Visualized data with Matplotlib and Seaborn to present findings. • Conducted EDA to identify performance metrics and learning gaps. • Applied K-Means clustering for user segmentation and data-driven marketing strategies.
2024 - 2025