? About me ?
As an experienced Data Scientist, I excel in writing clean and transparent code in R. My expertise lies in statistics, machine learning, simulations, and math. I ensure that my projects are reproducible, documented, functional, and well-structured. Currently pursuing a Master's in Statistics and a second bachelor's in Data Analytics, I have hands-on experience in data analysis, visualization, pipelines, healthcare, and esport data. With multiple certifications from DataCamp, I can confidently handle web scraping, data export, wrangling, visualization, automated reporting, and documentation, and data management.
As someone who finds comfort in big and untidy data, I'm thrilled to clean, interpret, visualize, and perform any magic with them. My passion for statistics-related topics, from sampling theory to machine learning, keeps me motivated to learn something new every day.
?? My experience ??
My certificates, including Data Analyst Associate, Professional Data Analyst, and Data Scientist Associate, reflect my competence and expertise. I have extensive work experience in reproducible research, data analysis using R Markdown, complex analysis of medical records, pipeline creation and management, automation, and modernization of project life cycle.
? What you get ?
Collaborating with me means you can focus on more critical tasks, receive well-documented R scripts, gain insights from the latest tools and trends, and have clear code that follows best practices and standards. I primarily focus on R, Excel, SQL, and basics in Python, and always prefer meaningful and constructive discussions over long meetings.
? Summary ?
In summary, with my professional experience, expertise, and passion for statistics, math, and the R world, I am confident in providing high-quality services. Let's collaborate to unlock the true potential of your data. Thank you for reading through my profile, and I look forward to hearing from you!
Thank you for reading and looking forward to our collaboration!
Michal