Welcome to my portfolio repository! This repository showcases 22 projects demonstrating my expertise in machine learning, data visualization, automation, and advanced analytics. Each project folder contains a detailed breakdown of the challenges addressed, solutions implemented, technologies used, and the resulting impact.
Each project folder includes the following subfolders:
code/
: Scripts or code implementations.visuals/
: Screenshots, graphs, and other visuals related to the project.documentation/
: Detailed project descriptions and supporting materials.
Below is a list of all the projects included in this portfolio:
- Deep Learning-Driven Comparative Analysis of Pre-trained CNNs and Transformers
- Pedestrian Light Indicator Classification
- TV Aerial and Satellite Dish Detection Using YOLOv7 and YOLOv8
- Income Benchmark Prediction Using Decision Trees and SVM
- Employee Attrition Analysis Using Clustering Algorithms
- Yelp Sentiment Analysis
- Fault Detection in Industrial Systems Using Machine Learning
- Automating Spotfire Dashboard Exports to PowerPoint
- Python-Based Gmail API Automation
- Custom Spotfire Visualizations
- Custom Python Image Processing Tool
- Advanced Topic Modeling for Renewable Energy Articles
- Sentiment Analysis Using Pre-Trained Embeddings
- Python Automation for CSV Data Transformation
- Spotfire Accordion Menu for Advanced Filters
- Automating Fault Detection in Industrial Systems
- Python Script for PowerPoint Automation
- Employee Attrition Analysis with K-Means Clustering
- Economic Sensitivity Analysis with Spotfire Data Functions
- Automating Gmail Workflows with Python
- Carbon Emissions Dashboard with Spotfire
- Data Visualization Training
Click on the links above to access the specific project folders. Each folder contains:
- Detailed project descriptions in the
documentation/
folder. - Source code in the
code/
folder. - Visuals such as charts, graphs, and screenshots in the
visuals/
folder.
I am a Senior Technical Consultant & Lead Developer with over 11 years of experience in data science, machine learning, and business intelligence. This portfolio showcases a blend of industry projects and academic research, demonstrating my ability to solve complex problems using innovative, data-driven solutions.
Feel free to explore and reach out if you have any questions or collaboration opportunities!