Software, data systems, machine learning, and exploratory work.

This repo contains analysis like a dashboard and time series forecast on NASDAQ data. Created interactive dashboards using Tableau, Power BI, or D3.js to visualize a dataset.

Visual Question Answering (VQA) for medical images is an advanced task in the field of medical imaging and artificial intelligence. This project aims to bridge the gap between image recognition and medical knowledge, enabling machines to comprehend and interpret the content of medical images (such as X-rays, MRIs, and CT scans) and subsequently answer questions posed in natural language based on that content. The goal is to develop a VQA system specifically designed for medical images to aid healthcare professionals in medical diagnosis and patient care.

The goal of this project is to analyze a dataset of trending YouTube videos by leveraging a Data Lakehouse architecture using Snowflake.

This interactive Streamlit dashboard visualizes insights from the SEER Breast Cancer Dataset (2006-2010).

This Flask web application helps users track their job applications, analyze the status of their applications, and calculate the acceptance score based on their CV and job descriptions. The app uses PyPDF2 for extracting text from PDF files and Scikit-learn for calculating cosine similarity between the CV and job descriptions.

This Jupyter Notebook provides a comprehensive analysis of Highfield Private Hotel reviews, aiming to gain insights into guest satisfaction and identify areas for improvement.