Hello, I'm Aisaiah Pellecer! I am an Information Sciences + Data Science (B.S) student at the University of Illinois at Urbana-Champaign, where I focus on their data science pathway. I am really interested in data science and opportunties within the field. This past summer (2022), I had the opportunity to work at MAPSCorps as a data coordinator. Under this position I was able to work with South Shore Works, a community-based organization, and construct a data-driven policy repsonse using City of Chicago data and MAPSCorps community asset database. At the end of the summer my team and I presented our reponse at the MAPSCorps Scientific Symposium and we were selected as the best team, winning the data driven community-advocacy award ($10K scholarship!). In addition to my experience at MAPSCorps I was a Líderes Avanzado Fellow at UnidosUS, the nation's largest civil right organization. From my experiences I understand how important Data Science is to our society and I am eager to learn more!
This is a repository to showcase skills, share projects and track my progress in Data Analytics / Data Science related topics.
Code: cps_analysis.ipynb
Description: In an effort to add more to my Github portfolio I have decided to redo a past STATA project using Python. The Project was Sample Survey Data Analysis. I had completed the project for my Introduction to Econometrics Course at Bard College. Although, I appreciate that I was able to code in STATA, I believe that it would be much more beneficial for me to conduct this type analysis on Python; for my own personal growth and because softwares like Python and R are commonly used in the Data Analytics industry.
Skills: data cleaning, data analysis, descriptive statistics, central limit theorem, data visualization.
Technology: Visual Studio Code, Jupyter Notebook Extension, Python, Pandas, Numpy, Matplotlib.
Description: It was a pleasure to continue this work, this past summer, as a City of Chicago STEAMbassador and Data Coordinator for MAPSCorps, a non-profit organization focused on data-driven community advocacy. As part of my internship, I was able to work with community-based organizations on the Southside of Chicago, educate youth on data literacy and data analytics, and guide the development of a research project on the relationship between asset-conditions in the South Shore community area and gun-violence. Due to the quality of our project, my team was awarded with the MAPSCorps Data-Driven Community Advocacy award, a $10,000 Group Scholarship.
- MAPSCorps students become confident and capable communicators and meet high standards as they develop basic job skills. Youth are challenged to demonstrate personal integrity and apply their best critical thinking skills to the scientific, health, and civic engagement components of the MAPSCorps experience.
- MAPSCorps produces an annual census of high quality data about all the businesses and organizations in a community. These data are used by healthcare professionals, policymakers, researchers, leaders, entrepreneurs, residents and others for better health, well-being and economic vitality.
Alongside my commitments to , here's an opportunity to look at the work produced by my team and youth of the South Shore Site!
Project Poster: MAPSCorps Research Posters 2022 | South Shore Works
Project Video: MAPSCorps Scientific Symposium 2022 | South Shore Works
Technology: Anaconda, Jupyter Notebook Extension, Python, Pandas, Matplotlib, Adobe Illustrator.
Code: IS204.ipynb
Description: For this project want to explore the characteristics of various healthcare systems across the nations and understand the potential factors that influence healthcare system performances. By understanding how the quality of the healthcare systems varies under different settings, we can provide solutions to improve the healthcare systems. The dataset used for this research is the Compendium of the U.S. Health Systems (2021 updated). It is provided by the CHSP Initiative and has 637 healthcare systems across the nation. The dataset includes useful variables for analysis such as total counts of physicians, primary care physicians, physician assistants, nurse practitioners, and many more.
Findings Presentation:Health_Systems_ Presentation.pdf
Skills: data cleaning, data analysis, descriptive statistics, data visualization.
Technology: Visual Studio Code, Jupyter Notebook Extension, Python, Pandas, Numpy, Matplotlib.
Respository: 'Course Projects'
- Data Science Discovery Course(Fall 2022)(University of Illinois Urbana-Champaign)
Note: This credential details the course description and data science topics covered.
- Joining Data with Pandas(Oct 2022)(Datacamp)
- Intermediate Python(Oct 2022)(Datacamp)
- Data Manipulation with Pandas(Oct 2022)(Datacamp)
- Introduction to Data Science in Python(July 2022)(Datacamp)
- Email: pellecer.aisaiah8@gmail.com
- Linkedin: apellecer1