Greater Chicago Area
With over 7 years of experience in data engineering and analysis, currently contributing as a Senior Data Engineer at Greater Chicago Food Depository. Focused on leveraging advanced data engineering tools and statistical analysis to enable impactful insights for organizational initiatives. Dedicated to fostering data-driven strategies that align with the organization’s mission of addressing food insecurity. Known for a collaborative mindset, empowering teams with actionable data solutions, and delivering meaningful results to support community-focused objectives.
- Evaluate data resource needs for proposed research projects, and recommend/perform appropriate statistical methods - Manage and model large survey data sets (100k+ Lines) for 100+ hospitals and health systems - Generate actionable insights from a range of analytics (descriptive statistics, regression modeling etc.) and use multiple analytics platforms to develop comprehensive reports for hospital administrators and health system leaders - Present reports and key findings to internal department leadership and external clients/stakeholders - Perform data cleaning/engineering/analysis using SAS, SQL, R, Python, PowerBI, and Excel - Develop and implement data management and hygiene policies, including strategic benchmarking - Complete advanced statistical analysis for 3+ pending journal publications
•Manage research initiatives, including collection, cleaning, and modeling of large datasets •Extrapolate data to identify trends of in law school admission strategy and predict future trends •Perform statistical operations and create data visualizations using Python and R •Utilize LDA Topic Modeling and Markov Models to perform content analysis on large sets of text corpus