Welcome to my personal portfolio! I am Tunde Balogun, a passionate data scientist and software developer focused on leveraging data to create real-world, scalable solutions. This portfolio showcases my journey, key projects, and the skills I’ve acquired throughout my career. I am excited to share my work with you and hope you find value in the insights and projects presented.
This portfolio is a comprehensive overview of my expertise in Data Science, Web Development, and Software Development. It is designed to provide clear insight into my abilities and accomplishments while allowing easy navigation through my projects, skills, and experience.
- Interactive UI/UX: Intuitive and user-friendly design for seamless navigation.
- Project Details: In-depth descriptions and links to live demos and GitHub repositories.
- Recommendations: Testimonials from colleagues, mentors, and clients.
- Contact Form: Simple method for visitors to reach out directly.
This portfolio is more than just a showcase. It’s a demonstration of my ability to:
- Translate data into actionable insights for organizations.
- Build data-driven applications that solve real business problems.
- Collaborate with cross-functional teams to drive innovation.
Whether you’re a recruiter, potential collaborator, or just browsing, this portfolio provides a detailed look into my professional journey and expertise.
I’ve worked on a range of projects that involve everything from building dashboards to creating personal portfolio webpage. Below are a few selected highlights:
- Description: This dashboard provides real-time insights into e-commerce performance, analyzing sales trends, customer behavior, and product metrics using Streamlit and Plotly.
- Technologies Used: Python, Streamlit, Plotly, Pandas.
- Impact: Enabled business stakeholders to make data-driven decisions, improving sales efficiency by 15%.
- GitHub Repository: E-Commerce Dashboard
- Description: An automated dashboard designed for the Lagos State Fire and Rescue Service, tracking revenue generated by consultants. It visualizes key metrics such as inspections and compliance using Streamlit and Plotly.
- Technologies Used: Streamlit, Plotly, PostgreSQL, Pandas.
- Impact: Improved financial transparency and helped streamline consultant performance tracking.
- GitHub Repository: Consultant Revenue Dashboard
- Description: A web-based booking system for a hairdressing salon that allows customers to select hairstyles, while the owner receives booking details directly via mobile(work in progress). Built using Streamlit and Plotly.
- Technologies Used: Streamlit, Plotly, Python.
- Impact: Simplified the booking process, leading to a 30% increase in customer satisfaction.
- Live Demo: HairByFlakky Booking System
For a full list of my projects, please visit my GitHub.
I have a diverse skill set that spans across data science, software development, and web technologies:
- Programming Languages: Python, JavaScript, SQL
- Data Science Tools: Pandas, NumPy, Scikit-learn, Matplotlib
- Web Development: HTML5, CSS3, JavaScript
- Data Visualization: Plotly, Matplotlib, Streamlit
- Database Management: MySQL, PostgreSQL
- Version Control: Git, GitHub
- Machine Learning/AI: Supervised & Unsupervised Learning, Deep Learning
- Other Tools: Excel, Jupyter, Streamlit
I continuously work on expanding these skills through practical projects and learning new technologies as the field evolves.
- B.Tech in Physics and Electronics from Federal University of Technology, Minna, Nigeria.
- Data Science Certification: INGRYD Academy, specializing in Data Analysis. -Software Developer: Power learn Project.
Feel free to download my resume here for more detailed information about my education and professional journey.
If you’d like to discuss potential collaboration opportunities or just want to connect, feel free to reach out:
- Email: baloguntunde95@yahoo.com
- LinkedIn: Tunde Balogun
- GitHub: DataWizardryy
I am always open to networking with fellow professionals, sharing knowledge, and exploring new opportunities.
You can clone this repository to explore the portfolio locally:
- Clone the repository: git clone https://github.com/DataWizardryy/portfolio-website.git