Summary
Daniela Zegarra is a data science analyst with a decade of professional experience who transitioned from business administration into hands-on data work, bringing a blend of domain insight and technical fluency in Python, SQL, ML, and analytics visualization. Over the past four years she has built recommendation systems, automated data-cleaning pipelines, and interactive dashboards that drove real business impact for NGOs, fintechs, and commercial teams. Often the sole or first data hire, she excels at end-to-end data lifecycles—especially the nitty-gritty of transforming messy data into analysis-ready assets—and is now broadening into data pipelines and centralization. A consistent datathon performer (MIT Best in Track WiDS 2022; podium finishes at QuantumBlack 2021 and Exprésate Perú 2024), she leverages competitive challenges to learn quickly and validate ideas. Certified in International Data Protection, she pairs technical practice with privacy-conscious governance, and contributes teaching materials for bootcamps to help grow the next cohort of data practitioners.
10 years of coding experience
7 years of employment as a software developer
AWS Machine Learning Foundations, Machine Learning, AWS Machine Learning Foundations, Machine Learning at Udacity
SQL and relational databases, Tecnologia de la información, SQL and relational databases, Tecnologia de la información at Cognitive Class
Data Science and Artificial Intelligence, Data Science and Artificial Intelligence at Platzi
Data Analyst with Python track, Data Analysis career track, Data Analyst with Python track, Data Analysis career track at Datacamp
Curso Internacional Protección de Datos, Curso Internacional Protección de Datos at Pacífico Business School
Finance Analytics Diploma, Finance Analytics Diploma at BSG Institute
Graduada, Desarrollo Front- End, Graduada, Desarrollo Front- End at Laboratoria
B.S., Business Management, B.S., Business Management at University of Piura
Spanish, English