Health Analyser App
This is an interactive machine learning–based health evaluation system that allows users to input medical metrics and receive instant analytical insights. It helps individuals understand their health patterns through predictive modeling and advanced data visualization.
My role included designing the ML components, structuring the data pipeline, building the Streamlit interface, and optimizing visual outputs.
Technologies used: Python, Streamlit, NumPy, Pandas, Matplotlib.
Business & Portfolio Health Analysis Platform
This platform enables users to perform complete financial portfolio evaluation and business-health analysis. It integrates multiple analytical layers including risk assessment, performance metrics, and business insights through AI-powered dashboards.
I handled the full development lifecycle, including model creation, dashboard design, and workflow automation.
Technologies used: Python, Streamlit, NumPy, Pandas.
Xyphor Advisors Corporate Website
A fully responsive corporate website created to showcase consulting services, client offerings, and strategic capabilities. It was designed to support lead generation and enhance digital presence.
I developed the architecture, UI design, responsiveness, and interactive elements to align with modern business standards.
Technologies used: HTML, CSS, JavaScript, Bootstrap.
Link: https://xyphoradvisors.netlify.app/
Stone Forge — Mining Operations Platform
This website was built for a mining-sector use case, providing structured company information, service details, and optimized navigation for industrial clients. The interface is streamlined for clarity, mobile performance, and user engagement.
I developed the full frontend, optimized the loading structure, and aligned the site for industry-specific branding.
Technologies used: HTML, CSS, JavaScript, Bootstrap.
MNIST Neural Network Project
A deep learning model created to classify handwritten digits from the MNIST dataset. The project focuses on neural network architecture, training visualization, and performance interpretation.
I designed the neural network, trained the model, generated data visualizations, and documented the research workflow.
Technologies used: Python, Jupyter Notebook, NumPy, Matplotlib.
Link: https://drive.google.com/file/d/1kIzUT7PtVLsH-9D9Bz_o6Nyc7Se8tw59/view
Market Research Project — Indian Banking Sector
A data-driven research project analyzing trends, performance patterns, and growth factors of the Indian banking industry. This project provided insights into market behavior, risk indicators, and long-term financial signals.
I performed data collection, preprocessing, model development, visual reporting, and documentation of findings.
Technologies used: Python, NumPy, Matplotlib.
Link: https://drive.google.com/file/d/1PCwrRgXH4BTLOEy-TTY_bCTMhm1D3n1_/view