I am a highly motivated and detail-oriented individual with a strong interest in data analysis. My academic background as an Economics graduate has equipped me with exceptional analytical and critical thinking skills, which I'm eager to leverage in tackling real-world data challenges. Through my projects, I've honed my data analysis capabilities, including data cleaning, manipulation, and visualization using tools like Python and SQL, this experience not only solidified my understanding of data analysis techniques but also sparked my curiosity about the vast potential of data analysis - building the pipelines and infrastructure that make gaining insights possible.. I'm a quick learner with a passion for continuous improvement, and I thrive in collaborative environments where I can contribute to data-driven solutions.
Programming for data science with pythonNANODEGREE (UDACITY)
Querying the Sakila movie database to answer questions about business decisions Analyzing data in the Sakila movie database using SQL Using SQL queries to extract insights and answer business questions Presenting the findings in a clear and concise manner Analyzing U.S. bikeshare data using Python Developing a Python script to calculate statistics and analyze data related to bike sharing in various cities in the United States Creating an interactive environment that allows the user to choose the dataset and filter the data for analysis