Magdalena S. Email and Phone Number

Versatile individual specializing in collecting, transforming, and organizing data for analysis to help make informed decisions. Understanding and proficiency of platforms for effective data analyses, including Python, R, spreadsheets, SQL, BigQuery, spreadsheets, Tableau. Strong communication, organizational, and analytical skills. Completed the Google Data Analytics Certificate – a rigorous, hands-on program that covers the entire scope of the data analysis process. Leverages Research Scientist experience in Computer Science and detail-oriented personality to create solutions, effectively resolve problems, learn, and meet deadlines.Tech: Python, Pandas, Altair, Dask, Plotly, R, SQL, spreadsheets (MS Excel, GSheets), reactive programming and dashboards (Plotly Dash, R Shiny, RFlexdashboard), reporting (Jupyter, RMarkdown, LaTex, Tikz), testing (unittest), Bash, C, C++.Projects: Medicare and Medicaid, construction, environmental, leisure, transportation, open datasets.

Completed 18 on-line Computer Science courses: machine learning, data science, data mining, Internet of Things (Arduino), mobile apps (Android), bioinformatics.Prototyped apps on Android, Arduino Uno, Microsoft Azure IoT MXChip AZ3166.Reviewed 50+ Computer Science papers.Connected a neighborhood community by co-founding and administering a social media group Dec 2018 - May 2023 (133 members as of May 2023).

Researched on performance monitoring at large scales; inline visualization and on-line steering capabilities of high-performance computing (HPC) scientific software applications; and efficient techniques for sharing GPGPUs on next generation heterogeneous HPC settingsDesigned, developed, and deployed systems software

Researched on automated provisioning and aggregation of heterogeneous computing resources and on improvement of HPC application's development, deployment, and executionDesigned models, developed software and methodologies, and prototyped on and for HPC settings