This case study aims to characterize a member's health status based on outpatient and prescription data using the Clinical Classification Software (CCS) mapping. The project involves developing a s…

This project implements a conversational assistant using Rasa to automate patient intake process. The assistant interacts with users to gather info such as patient details, contact information, and…

This project investigates customer churn and its impact on profitability. By analyzing factors like tenure, payment methods, and service usage, it builds predictive models to estimate churn probabi…

This project develops an interactive financial analysis dashboard using Plotly Dash. The dashboard visualizes key financial metrics such as revenue, costs, and profit, alongside patient no-show tre…

This project focuses on analyzing and predicting patient no-shows. Through exploratory data analysis (EDA) and machine learning, the project identifies key predictors of missed appointments, such a…

This project aims to analyze and predict patient churn in a healthcare clinic using K-Means clustering and predictive modeling. By segmenting patients into clusters based on their behavior and demo…

This project focuses on analyzing and predicting earthquakes in Washington State using data from the USGS. The analysis explores earthquake trends, spatial patterns, and the relationship between ea…

This project focuses on detecting camouflaged vehicles in terrain using the YOLOv5 object detection. By integrating spatial data and imagery, the project enhances detection in environments where ve…

This project focuses on detecting and predicting illegal fishing activities by analyzing transshipment events, vessel encounters, and loitering behaviors within maritime boundaries. Through explora…

This project predicts the success of SpaceX Falcon 9 first stage landings using machine learning models. By analyzing launch data collected from the SpaceX API, it aims to determine whether a first…

This project conducts A/B testing to evaluate the performance of different product versions using statistical methods. The analysis includes tests on discrete metrics, such as conversion rates, usi…

This project uses K-Means clustering to segment customers based on their purchasing behavior and build a recommender system tailored to each segment. By analyzing transaction data, the project iden…

This project analyzes New York City housing data using exploratory data analysis (EDA) to uncover patterns influencing housing prices. The project further trains and fine-tunes an XGBoost model to …

This project analyzes New York City housing data using exploratory data analysis (EDA) to uncover patterns influencing housing prices. The project further trains and fine-tunes an XGBoost model to …

This project analyzes biodiversity data from the National Parks Service to understand species distribution and conservation status across various parks. It explores factors affecting species endang…

This project builds a book recommendation system using the Goodreads dataset. By analyzing various features such as average ratings, number of reviews, and book metadata, the system recommends book…

This project aims to predict the quality of wine using ML models based on various chemical properties. The dataset contains information such as alcohol content, pH level, sulfur dioxide, etc,. Thro…

This project involves analyzing high-dimensional telescope data using Principal Component Analysis (PCA) to reduce the dimensionality while preserving important features. By doing so, the project a…

This project investigates the relationship between a country's economic output (GDP) and the life expectancy of its citizens. The analysis focuses on six countries, between the years 2000 and 2015.…

A personal portfolio website showcasing projects, blogs, and achievements. The portfolio includes sections on professional skills, recent blog posts, and data-driven projects, built using HTML, CSS…

Projects from Codecademy