I turn messy datasets into decision ready insights using Python, SQL, and reporting workflows. I focus on clarity, defensibility, and outcomes.
Curated for Data Analyst roles. Overlap with other roles is allowed when the project truly fits.
This project provides a comprehensive revenue and reservation analysis for Highfield Hotel using historical data exported from booking systems and internal revenue reports. The…
This project analyzes Warren Buffett’s investment portfolio as of December 31, 2024. Using Tableau, we visualize key insights into Berkshire Hathaway’s holdings, including…
This project explores fitness and health trends using Tableau, analyzing key metrics such as heart rate, workout intensity, VO2 Max, steps, calories burned, and more. The dataset…
This Jupyter Notebook provides a comprehensive analysis of Highfield Private Hotel reviews, aiming to gain insights into guest satisfaction and identify areas for improvement.
This project analysis a marketing campaign's success using customer data. Logistic Regression and Random Forest models were built, with the Random Forest model performing better…
An interactive Streamlit analytics dashboard exploring long-duration Spotify tracks released between 2014–2024. Includes feature engineering, interactive Plotly visualisations, and…
This interactive Streamlit dashboard visualizes insights from the SEER Breast Cancer Dataset (2006-2010)
This project analyzes a dataset of telecom customers to understand factors contributing to customer churn.
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.
This project is designed to predict trends and prices for stocks, shares, ETFs, commodities, and currency exchange rates. The goal is to provide actionable insights for investors…
The objective is to derive insights about music preferences and trends over time, including the most played songs and artists, genre trends, and listening habits.
The goal of this project is to analyze a dataset of trending YouTube videos by leveraging a Data Lakehouse architecture using Snowflake.