Project Overview
This project was created to demonstrate proficiency in data manipulation, analysis, and visualization. The dashboard provides an interactive way to explore a large dataset, allowing users to filter data and view key metrics through various charts and graphs. This project highlights a fundamental skill set required for a Generative AI engineer, as data is the backbone of all machine learning models.
Tech Stack & Tools
- Python/Pandas: Used for data cleaning, transformation, and analysis.
- Plotly / Matplotlib: For creating interactive and static data visualizations.
- Dash / Streamlit: The frameworks used to build the interactive web dashboard.
- SQL: For querying and managing structured datasets.
My Process
Phase 1: Data Acquisition & Cleaning
I started by identifying a relevant dataset and then performed extensive data cleaning and preprocessing to handle missing values, outliers, and incorrect data types.
Phase 2: Analysis & Visualization
I conducted exploratory data analysis to uncover patterns, trends, and anomalies. Using Python libraries, I created a series of visualizations to present these insights in a clear and compelling way.
Phase 3: Dashboard Creation
The final step was to build an interactive dashboard using a web framework. This allowed me to integrate the analysis and visualizations into a single, user-friendly interface where users can interact with the data in real-time.
Results & Future Work
The completed dashboard serves as a powerful tool for understanding the dataset and a clear demonstration of my ability to handle data-driven projects from start to finish.
Future Enhancements:
- Add machine learning models to the dashboard for predictive analytics.
- Connect the dashboard to a live database for real-time data updates.
- Enhance the user interface with more interactive controls and filters.