My resume

📍 San Francisco Bay Area, CA | 📞 +1 786 659 6483 | ✉️ anaferrdzgzz@gmail.com

Motivated and versatile physics professional passionate about connecting scientific analysis to real-world challenges. I apply physics principles and Python-based analysis to problem-solving, while exploring sustainability and circular solutions for communities and the environment. Experienced in tutoring and mentoring, I bring clarity, collaboration, and a people-centered approach to every team I join.

Fluent in English and Spanish.

B.Sc. in Physics, Minor in Mathematics – Bishop's University, Sherbrooke, QC, Canada
Graduation: June 2025

Family Business – Bay Area, CA | Jun 2025 – Current

• Conducted market and consumer analysis in the North Bay Area to identify potential business opportunities.
• Performed SWOT analysis to develop a viable business strategy.
• Applied quantitative and qualitative methods to evaluate opportunities, identify trends, and formulate strategic plans.

Bishop's University – Sherbrooke, QC, Canada | Jan 2023 – Jan 2024

• Guided students in an interactive, inquiry-based math course (precalculus & calculus) through the Maple League OLTC program.
• Analyzed student performance data to identify learning patterns and inform instructional improvements.
• Assisted professors in preparing course materials and facilitated interactive learning activities to enhance comprehension and participation.

• Programming: Python, C++, MATLAB
• Research & Analysis: Data interpretation, scientific modeling
• Personal Attributes: Curious, driven, supportive, people-oriented
• Sustainability: Circular and regenerative resource knowledge, permaculture

CS211 – Intro to Programming (Bishop's University)

• Developed multiple C++ projects applying algorithms, data structures, and software engineering principles.
• Applied structured programming techniques to write clean, maintainable, and scalable code.

PHY361 – Quantum Mechanics I (Bishop's University)

• Worked with complex mathematical models including wavefunctions, probability distributions, and eigenvalue problems.
• Translated abstract physical principles into structured, quantitative frameworks using advanced math.

PHYS349 – Advanced Computational Physics (University of Waterloo)

• Processed and analyzed scientific datasets using Python to extract meaningful insights.
• Developed Python programs for solving physics-based problems, demonstrating structured programming and analytical skills.

• Languages: English (Fluent), Spanish (Native), French (Conversational)
• Hobbies: Traveling, Reading & Research, Tutoring, Hiking, Cooking & Baking