🎯 Data Analyst with a background as a Credit Specialist, blending financial expertise with strong technical skills.

📊 Proficient in:

• Python & SQL
• Power BI & Data Visualization
• Machine Learning & Deep Learning
• Credit Risk Modeling

💼 Open to opportunities in Data Analysis and related fields where I can apply my analytical, technical, and financial skills to drive insights and decision-making.

⚡ Philosophy: Growth Mindset — everything can be learned with dedication and persistence.

This GitHub profile is just getting started — I'm actively building and sharing my journey.
Below are some of the key repositories I've worked on. Feel free to explore them by clicking the links!

• Job Hunting 2025
  Practice problems from HackerRank and LeetCode to sharpen my technical skills.

Explore some of the key projects I've contributed to as part of my professional development. Click the links to view each repository:

• PAP: QAA Strategies
  Quantitative Asset Allocation — focused on optimizing portfolio performance using data-driven strategies.

• PAP: Sector Rotation Strategy
  Sector Rotation Strategy — explores dynamic investment approaches based on economic cycles and sector performance.

• PAP: Project Tasks
  Task management and documentation supporting the development of the projects above.

• Credit Models Project II
  Development of predictive models for credit scoring and risk assessment.
• Credit Models Project III
  Advanced modeling techniques applied to financial datasets.

Feel free to reach out or explore my work:

• LinkedIn Profile
• GitHub Repositories (below)