Patricia Carrasco Sierra
About Patricia Carrasco Sierra
Patricia Carrasco Sierra is a Data Practitioner and Data Technician at Keepler Data Tech in Madrid, Spain, with a strong background in data analysis and technology. She has completed various courses in data analytics, machine learning, and web development, and possesses expertise in building data pipelines and utilizing Python for data visualization.
Work at Keepler
Patricia Carrasco Sierra has been employed at Keepler Data Tech as a Data Practitioner and Data Technician since 2021. She has accumulated three years of experience in this role, working in Madrid, Comunidad de Madrid, España. Her responsibilities include building data pipelines, performing data cleansing, and manipulating data to support various projects within the organization.
Education and Expertise
Patricia has pursued extensive education in data analysis and technology. She studied at Udemy Alumni, where she completed the Curso Power BI – Análisis de Datos y Business Intelligence in 2023. Additionally, she is currently studying at Udacity to achieve a Data Analyst certification. Her background also includes a Cloud Native Web Developer program at CORE Code School from 2021 to 2022, and a Data Analytics program at Ironhack in 2020.
Technical Skills
Patricia possesses a range of technical skills relevant to data analysis and manipulation. She is proficient in using Python libraries, including SciPy, Matplotlib, Seaborn, and Plotly, for data analysis and visualization. She has experience in querying databases using MySQL and MongoDB, and she is skilled in version control using GitHub. Additionally, she is studying Master SQL for Data Science at Udemy Alumni since 2021.
Background
Patricia studied Telemática at Universidad de Las Palmas de Gran Canaria, where she achieved a degree in Telecomunicaciones. Her educational journey reflects a commitment to developing a strong foundation in technology and data analysis, which she has built upon through various courses and certifications.
Achievements in Data Projects
Patricia utilizes machine learning techniques and natural language processing in her data projects. Her expertise in building data pipelines and performing data cleansing and manipulation highlights her practical skills in the field. She demonstrates strong analytical thinking and problem-solving skills, which are essential in her role as a Data Practitioner.