Financial & Ops Analyst turned Data Enthusiast
Exploring insights through Python, SQL, and data visualization to uncover data-driven decisions that make an impact.

I’m currently pursuing an MBA in Financial Engineering at Penn State, blending business strategy with data analytics.
My goal is to transition into a Data Analyst role, where I can apply statistical analysis, automation, and visualization to support intelligent decision-making.

• Languages: Python, SQL
• Libraries & Tools: Pandas, NumPy, Matplotlib, Seaborn, Jupyter Notebooks
• Data Analysis Focus: Cleaning, transformation, and visualization of financial and operational data
• Workflow: Structured, methodical, and outcome-oriented — from problem definition to insight delivery

• 🎓 IBM Data Science Professional Certificate (Coursera)
  • Developed proficiency in Python, SQL, data visualization, and applied machine learning.
  • Completed multiple hands-on projects demonstrating end-to-end data workflows.

• Expanding expertise in data analysis, automation, and dashboard design
• Building a portfolio of real-world data analytics projects on GitHub
• Learning to bridge financial modeling and data science techniques for strategic business insight

• 📧 Email: aleccovey@gmail.com
• 💼 LinkedIn: linkedin.com/in/aleccovey

⭐️ Thanks for visiting my profile — feel free to explore my repositories or connect with me to collaborate on data projects!