As a master’s student in Data Science, specializing in Machine Learning and AI, I am passionate about using data to drive innovation. My skills in data analysis, machine learning, deep learning, and NLP have been sharpened through impactful projects across various domains. These experiences have fueled my curiosity and commitment to exploring new frontiers in AI and data science, contributing to advancements in this dynamic field.
0 + Projects completed
Grade: 2.4
Grade: 1.6
Below are the sample projects on Power BI, Python, ML & DL.
The potato leaf disease classification project uses CNN, ResNet, and VGG models to accurately identify different leaf diseases, helping farmers detect issues early and improve crop management.
This project applies machine learning to predict heart attack risk using models like K-Nearest Neighbors,Random Forest, SVM, and XGBoost. It provides a tool for early detection and preventive care.
This project implemented a CNN model to revolutionize rice variety classification, dramatically boosting accuracy and efficiency, and paving the way for smarter agricultural practices.
This project predicts health insurance costs using machine learning, featuring data cleaning, feature engineering, and model optimization to achieve accurate predictions.
GlobalBlaze showcases top technical skills with automated pipelines and advanced EDA, turning wildfire data into precise, actionable insights.
Created Superstore Sales Dashboard in Power BI which visualizes monthly sales and profit trends, offering insights into revenue patterns and profitability, enabling data-driven strategies for enhancing business performance.
Created HR Data Analytics Dashboard in Power BI which tracks attrition rates and active employees, helping organizations to monitor workforce trends, identify retention issues, and make data-driven HR decisions.
Below are the details to reach out to me!
Erlangen, Germany