Senior instructional associate for the full-time Data Analytics Immersive program offered by General Assembly.- Instructed adult learners full-time in data acquisition, cleaning, analysis, and communication using Excel, SQL, Tableau, Power BI, and Python.- Spearheaded a 6-month speaker series inviting members of the tech community to share their varied experiences in weekly conversations with data analytics cohorts.- Designed and implemented student-facing surveys to collect and evaluate student experiences and technical competencies, providing actionable insights for curriculum improvement.- Collaborated across teams to develop and enhance the curriculum for 12-week remote data analytics bootcamps, resulting in improved course content and delivery.

Assisting in organization of a 5-day hackathon with the goal of building a new, open-source algorithm for sea surface temperature (SST), held at the University of Washington. Specific responsibilities include:- Creation of event website

Developed a data-driven workflow to characterize seasonal structures in high-density seawater datasets- Conducted exploratory data analysis to measure correlations between variables and remove anomalous data- Handled irregularly-spaced, high-frequency measurements by smoothing and interpolating data streams- Applied decomposition methods such as Principal Component Analysis (PCA) to obtain a representative set ofcomponents and activations that capture intrinsic patterns in the data- Performed literature review to link research results with well-studied atmospheric and oceanographic processes- Worked remotely with team members through Zoom and Slack to troubleshoot and collaborate on projects- Presented research at the virtual Ocean Sciences Meeting 2022 conference

- Collect, extract, query, clean, and aggregate data for analysis.- Gather, store and organize data using SQL and Git.- Perform visual and statistical analysis on data using Python and its associated libraries and tools.- Craft and share compelling narratives through data visualization.- Build and implement appropriate machine learning models and algorithms to evaluate data science problems.- Compile clear stakeholder reports to communicate the nuances of analyses.- Apply question, modeling, and validation problem-solving processes to data sets.

- Conducted exploratory data analysis and visualization in pursuit of canonical records of seawater characteristics(e.g., seawater temperature, salinity, pH)- Incorporated data from multiple sources (e.g., buoy, satellite) to compare and validate sea surface measurements- Collaborated with the maintainers of the datasets used to prove the data’s potential to answer research questions- Produced comprehensive Jupyter notebook walkthroughs for educational purposes and collaboration

- Organized and maintained the ocean technology center in the oceanography department for one year- Facilitated student use of the active learning makerspace for the student underwater observatory - Helped facilitate 30 students in the hands-on building of sensors in an introductory ocean sensors course

- Organized weekly hands-on labs for 30 undergraduate oceanography students- Facilitated student learning and helped students grasp real-world concepts in physics and fluid mechanics- Coordinated with the course instructor to achieve the desired learning outcomes each week

- Extracted dissolved inorganic carbon from seawater samples for isotopic analysis- Cleaned and maintained laboratory equipment and glassware