SUKUMAR DUNNA

Aspiring Data Analyst with skills in Python, SQL, Power BI, and Machine Learning, seeking an opportunity to contribute analytical skills and grow in a dynamic organization.

1.Customer Shopping Behavior Analysis
Technologies: Python, SQL, Power BI, Pandas, Excel, Jupyter Notebook

• Analyzed 3,900+ customer purchase records to identify customer behavior and revenue trends.
• Performed data cleaning, feature engineering, and exploratory data analysis using Pandas.
• Developed SQL queries and interactive Power BI dashboards for customer segmentation and sales analysis.
• Generated actionable insights on subscriptions, shipping preferences, discounts, and high-revenue customer groups.

2.Music Recommendation System using Machine Learning
Technologies: Python, Streamlit, Scikit-learn, Spotipy, Pandas, NumPy

• Developed a content-based music recommendation system using K-Means Clustering on audio features.
• Integrated Spotify API using Spotipy for metadata retrieval and recommendation enhancement.
• Applied feature engineering, correlation analysis, and t-SNE for dimensionality reduction and visualization.
• Built a Streamlit-based prototype and evaluated performance using precision and recall metrics.

B.Tech in Artificial Intelligence

• Anurag University | 7.0 CGPA | 2025

Senior Secondary (Intermediate)

• Vivekananda Junior College | 86% | 2021

Secondary School

• St. Anthony’s High School | 73% | 2019