I enjoy skiing during the winter months, exploring new hiking trails in the summer, and practicing yoga for relaxation. Additionally, I have a passion for cooking and experimenting with new recipes in my spare time.
Nicolas Perez can be reached at nperez@stregisnyc.com for any inquiries. His address is 2 East 55th Street, New York City, USA. You can contact him directly at +1-212-753-4500.
Data Scientist, 2020 - Present at Tech Solutions Inc.
- Conducted data analysis and modeling to optimize marketing strategies for client campaigns
- Developed machine learning algorithms to predict customer behavior and improve product recommendations
- Collaborated with cross-functional teams to implement data-driven solutions that increased revenue by 15%
- Proficient in statistical analysis and machine learning techniques to derive insights from complex datasets
- Skilled in data visualization tools such as Tableau and Power BI to communicate findings effectively to stakeholders
- Experienced in programming languages like Python and R for data manipulation and model building
- Strong background in experimental design and hypothesis testing to drive data-driven decision-making processes
- Master of Science in Data Science, Stanford University, 2020
- Bachelor of Science in Computer Science, University of California, Berkeley, 2018
- Associate Degree in Mathematics, Community College, 2016
Nicolas Perez can be reached at nperez@stregisnyc.com for any inquiries. His address is 2 East 55th Street, New York City, USA. You can contact him directly at +1-212-753-4500.

I enjoy skiing during the winter months, exploring new hiking trails in the summer, and practicing yoga for relaxation. Additionally, I have a passion for cooking and experimenting with new recipes in my spare time.

Data Scientist, 2020 - Present at Tech Solutions Inc.
- Conducted data analysis and modeling to optimize marketing strategies for client campaigns
- Developed machine learning algorithms to predict customer behavior and improve product recommendations
- Collaborated with cross-functional teams to implement data-driven solutions that increased revenue by 15%

- Proficient in statistical analysis and machine learning techniques to derive insights from complex datasets
- Skilled in data visualization tools such as Tableau and Power BI to communicate findings effectively to stakeholders
- Experienced in programming languages like Python and R for data manipulation and model building
- Strong background in experimental design and hypothesis testing to drive data-driven decision-making processes

- Master of Science in Data Science, Stanford University, 2020
- Bachelor of Science in Computer Science, University of California, Berkeley, 2018
- Associate Degree in Mathematics, Community College, 2016