Explore selected Data Science, Machine Learning, and AI projects built with real-world datasets and practical problem-solving.
A Python-based AI application, likely focused on cardiovascular health analysis and predictive modeling.
A deep learning project that uses Convolutional Neural Networks (CNNs) to detect and classify diseases in apple leaves from images.
As a Data Science Student, I am passionate about building impactful ML & AI applications, bringing a strong foundation in Python and practical project experience.
I turn complex datasets into clear, actionable insights through structured analysis and statistical reasoning.
Skilled in transforming complex data into clear, actionable insights through effective data visualization and end-to-end project thinking.
Proficient in developing and implementing machine learning models for predictive analytics and intelligent system design.
A focused set of tools and languages I leverage daily to build and analyze data-driven applications.
ython · SQL · C++ · JavaScript · HTML/CSS
Pandas · NumPy · SciPy · Statistical Analysis · Data Cleaning
Scikit-learn · Supervised Learning · Feature Engineering · Model Evaluation
Matplotlib · Seaborn · Plotly · Exploratory Data Analysis
Jupyter Notebook · Google Colab · VS Code · Git · GitHub
Streamlit · AI Applications · ML Deployment · Interactive Dashboards
Open to collaborations, full-time roles, and challenging projects in Machine Learning and AI.
