I enjoy mountain biking on weekends to stay active and explore nature. In addition, I have a passion for painting landscapes in my free time as a creative outlet that is completely unrelated to my work as a Data Scientist.
- Mail: ava.schmidt@theraffles.com
- Address: The Raffles, Anse Takamaka, Seychelles
- Phone: +248 1234567
- Name: Ava Schmidt
- LinkedIn: linkedin.com/in/ava-schmidt
Data Scientist, 2014 - 2016 at Google
- Developed machine learning models to optimize search engine algorithms and improve user experience.
- Collaborated with cross-functional teams to extract insights from large datasets and drive data-driven decision-making processes.
- 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
A bachelor's degree in Computer Science from Universidad Complutense de Madrid in 2010 and a master's degree in Data Science from Universidad Politécnica de Madrid in 2014 were successfully completed.
I enjoy mountain biking on weekends to stay active and explore nature. In addition, I have a passion for painting landscapes in my free time as a creative outlet that is completely unrelated to my work as a Data Scientist.
- Mail: ava.schmidt@theraffles.com
- Address: The Raffles, Anse Takamaka, Seychelles
- Phone: +248 1234567
- Name: Ava Schmidt
- LinkedIn: linkedin.com/in/ava-schmidt
Data Scientist, 2014 - 2016 at Google
- Developed machine learning models to optimize search engine algorithms and improve user experience.
- Collaborated with cross-functional teams to extract insights from large datasets and drive data-driven decision-making processes.
A bachelor's degree in Computer Science from Universidad Complutense de Madrid in 2010 and a master's degree in Data Science from Universidad Politécnica de Madrid in 2014 were successfully completed.
- 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