I'm a dynamic and detail-oriented Data Scientist with extensive experience in academic research within social science and public policy. I excel at transforming complex datasets into actionable insights, guiding strategic decision-making. My proficiency in advanced data visualization and comprehensive statistical analysis underpins my research, allowing me to interpret statistical metrics and deliver well-substantiated conclusions.
- Data Analysis & Visualization:
- Python, R, Stata, MySQL, Tableau
- Predictive modeling, Natural Language Processing (NLP)
- Software Tools:
- SAP Finance, SAP ABAP
- Languages:
- Fluent in English and Spanish (Native)
- Ironhack - Data Science and Machine Learning Bootcamp (400+ hours)
- Universidad Carlos III de Madrid - PhD Candidate in Social Science
- Universidad Carlos III de Madrid – Juan March Institute - MA in Social Science
- Universidad de Piura - BA in Economics and Finance
- "Socio-Economic Gaps in Workers’ Participation in Private Pensions" - Journal of Social Policy
- "Can Pension Fund Design Increase Pension Savings? Evidence from a conjoint experiment in six European countries" - Work, Aging and Retirement
For detailed insights and methodologies, check out my publications or reach out for discussions!
- Pre-doctoral Researcher: Conducted comprehensive data collection, analysis, and stakeholder interviews at Universidad Carlos III de Madrid.
- Public Policy Researcher: Analyzed public policies affecting economic structures in Peru, contributing to informed policy-making.
- Eager to contribute to projects that leverage data-driven decision-making in fast-paced environments.
- Recently completed a Data Science Bootcamp at Ironhack. Looking to collaborate on open-source projects and gain hands-on experience with tools like Python and Tableau.
Feel free to dig into my repositories to see more of my work and research contributions. Let's connect and explore how we can make data work for us!
Read my CV: https://saraynesgs.github.io/cv-saraynesgs/