I am a Data Science & AI student specialising in Python, SQL, and Power BI. I also have professional experience in Mainframe Operations at Kyndryl, where I worked on critical batch jobs and production workflows. I enjoy building analytical solutions, dashboards, and machine learning models that solve real-world business problems.
Python-based music recommendation system that suggests similar artists and tracks using audio features such as acousticness, danceability, energy, and valence. Originally built with Tkinter and later refactored into a Streamlit web application for cloud deployment.
🔴 Live DemoPython • Pandas • NumPy • Similarity Metrics • Streamlit/Tinker
End-to-end machine learning system to predict fraudulent insurance claims. Includes data cleaning, feature engineering, model training with scikit-learn Pipelines & ColumnTransformer, and a deployed Streamlit web application.
🔴 Live DemoPython • scikit-learn • Streamlit • Machine Learning
Kyndryl
Mar 2022 – August 2025
Monitoring and supporting batch jobs, resolving production incidents, and ensuring system stability and SLA adherence.
GUVI
Jan 2025 – sep 2025
Working on Python, statistics, machine learning algorithms,Deep Learning, Computer vision and hands-on projects focused on analytics and model building.