Portfolio

Current Project

Tableau - UK Street Crime 2024 | Analysis - FINAL

Tools Used for this Project
Python and Tableau

Etsy Shop | Full Year Calendar Heatmap - Sales & Forecast Summary

Purpose
To analyze and visualize sales performance of an Etsy shop over the course of a year, providing insights into sales trends, monthly performance, and geographical distribution of orders.

Objectives

Daily Sales Heatmap: Create a full-year calendar heatmap to visualize daily sales data, highlighting patterns and anomalies in sales activity.

Monthly Sales Analysis: Compare actual monthly sales figures against estimates to assess forecasting accuracy and identify trends.

Geospatial Analysis: Map order locations to understand regional sales distribution and identify potential market opportunities.

This project aims to offer a comprehensive overview of sales performance and help in making data-driven decisions for optimizing sales strategies and improving forecasting accuracy.

Tools Used for this Project
Tableau

Cardiac Triage Questionnaire App (app)

Purpose and Objectives
The Cardiac Triage Questionnaire app is designed to streamline the patient intake process by assessing and recording the severity of cardiac symptoms upon arrival or registration. Using a simple Python-based interface, this tool provides a quick and efficient way to prioritize patient care based on their triage scores.

The primary purpose of the app is to facilitate effective and timely triage decisions in a healthcare setting. By evaluating patient responses to a series of pre-defined questions, the app calculates a total score that indicates the urgency of the patient's condition.

Scoring and Action

Total Score Greater Than 4: The app triggers a triage call to ensure immediate attention for potentially severe conditions.

Total Score Less Than 4: Patients with lower scores are directed to proceed with standard booking procedures, allowing healthcare providers to manage their workload effectively.

The app can be seamlessly embedded into an HTML website or integrated into existing applications, providing a user-friendly interface for healthcare professionals and enhancing patient management efficiency.

Key Points:

Efficiency: Quickly assesses and records patient conditions to aid in prioritizing care.

Integration: Can be embedded into websites or other applications for easy access and use.

Scoring System: Provides actionable outcomes based on a calculated score, facilitating prompt and appropriate care responses.

Tools Used for this Project
Python and Streamlit

Latest Project

Insights into Healthcare Costs | Identifying Key Drivers (Data Analysis)

See Full Overview

Purpose and Objectives
To understand the factors that influence medical insurance costs and to develop predictive model for estimating healthcare expenses. My analysis will be focused on both the descriptive and diagnostic aspect, leveraging individual data to build models that can forecast or estimate future healthcare expenditures, rather than solely describing past trends or prescribing actions.

Scope

Loading and preprocessing the data

Conducting Exploratory Data Analysis (EDA)

Visualizations

Performing correlation analysis

Summarizing the findings

Deriving actionable insights to guide insurance companies and public health initiatives

Tools Used for this Project
Python, Pandas, Seaborn, Matplotlib and PowerPoint

Tableau - UK Police Force | Street Crime Dashboard | January - April 2024: Monitoring Trends and Hotspots (Dashboard)