Excellence with Receipts
I’m grateful to have my work recognized by both nonprofit leadership and academia.
These letters of recommendation highlight how I bring together data engineering, analytics, and real-world impact across community work and research. They speak to my ability to design end-to-end data systems, ensure data quality, and collaborate with cross-functional teams to turn complex data into practical decisions.
Letter 1 – Big Brothers Big Sisters of Ventura County
Big Brothers Big Sisters of Ventura County – Youth Center Data Platform
In this letter, Danica Selvaggio, CEO of Big Brothers Big Sisters of Ventura County, describes my role leading the design, development, and management of databases for the Youth Center Hackathon project. I built backend systems to track youth participation and engagement in real time, improved the frontend experience for staff, and created visual and statistical reports that helped leadership make data-driven decisions.
What this letter emphasizes:
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End-to-end database design for tracking youth participation and engagement
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Real-time, secure backend data processing to support staff decisions
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User-friendly interfaces that bridge functionality and accessibility
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Strong collaboration with cross-functional teams and consistent professionalism
View Recommendation Letter – Big Brothers Big Sisters of Ventura County
Letter 2 – Bear River Health Department
Bear River Health Department – Public Health Data Modernization & KPI Platform
In this letter, Holly Budge (Deputy Health Strategist) and Spencer George (Personnel Support Officer) document my role as a Data Engineer under the CDC Foundation’s Workforce Acceleration Initiative (WAI), where I led the development of a scalable KPI dashboard ecosystem and modern data platform for the Bear River Health Department.
The letter highlights my contributions in designing and implementing a comprehensive analytics system, collaborating with cross-functional public health teams, and delivering a solution that has gained national-level visibility and adoption interest across U.S. health agencies.
What this letter emphasizes:
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Development of a large-scale KPI dashboard system (34+ webpages, 40+ visualizations) supporting public health decision-making
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Direct collaboration with multi-program public health teams to define and standardize KPI metrics
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Implementation of automated data update processes, reducing reliance on manual CSV workflows
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Focus on accessibility and usability, including ADA-compliant design considerations
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Integration and exploration of AI-driven approaches to support long-term system sustainability
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Contribution to national conference presentations and knowledge sharing, demonstrating external recognition
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Evidence of scalability and replication, with planned adoption across additional rural health departments
View Recommendation Letter – Bear River Health Department
Letter 3 – Code for Good
Code for Good – Letter of Excellence
This Letter of Excellence formally recognizes my outstanding technical innovation and societal contribution at Code for Good. It explains how my scalable, governance-ready data solutions helped Big Brothers Big Sisters and Mesa Farms modernize their digital infrastructure and deliver measurable benefits for communities nationwide.
What this letter emphasizes:
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Built a fully integrated backend and reporting system for the BBBS Youth Portal, unifying volunteer, donor, and participant data into one analytical view.
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Automation improved privacy compliance and gave program leaders instant impact metrics, improving services for thousands of youth and mentors.
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Engineered architecture, pipelines, auth logic, and real-time analytics for the Mesa Farms Community Portal supporting young adults facing homelessness.
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Systems are replicable, open-source, and designed for sustainable growth, creating a template that other NGOs can adopt affordably.
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Code for Good ranks me among their most exceptional professionals, explicitly linking my work to social equity, digital accessibility, and data-driven decision-making.
View Code for Good – Letter of Excellence
Letter 4 – University of North Texas (AIM-AHEAD Project)
University of North Texas – AIM-AHEAD Cancer Survival Analytics
This letter from Dr. Suman Niranjan (Assistant Professor, Department of Supply Chain Management) highlights my work leading data management and advanced analytics for the AIM-AHEAD project. I cleaned and integrated large-scale SEER and Medicare datasets, built visualizations, and applied machine learning models to study breast cancer stages and survival outcomes, with a focus on fairness and explainable AI.
What this letter emphasizes :
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Managing complex health datasets: handling missing values, duplicates, and standardization
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Integrating SEER cancer registry and Medicare data using Zip and FIPS codes into a unified dataset
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Using SQL, Tableau, Excel, Matplotlib, and ML (Gradient Boosting, OLS regression) for deep analysis
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Building predictive models with explainable AI methods to support clinicians and researchers
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Communicating insights clearly to both technical and non-technical audiences
View Recommendation Letter – University of North Texas (AIM-AHEAD)
Together, these recommendations show that I’m trusted to own critical data systems, improve data quality, and turn analytics into meaningful outcomes—whether it’s for community-based youth programs or large-scale health research.
Letter 5 – Code for Good
Code for Good – Nonprofit Tech & Data Engineering Recommendation
This letter from Saritha Ivaturi, Founder & President of Code for Good, describes how my work on the Big Brothers Big Sisters Youth Portal and the Mesa Farms Community Platform advanced their mission of building technology that serves society. It highlights my role in architecting secure data frameworks, automated insight pipelines, and backend systems that modernized two major U.S. nonprofits.
What this letter emphasizes:
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I contributed to two flagship platforms: Big Brothers Big Sisters of Ventura County Youth Portal and Mesa Farms Community Platform.
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Designed secure data frameworks, automated analytics pipelines, and intuitive reporting that replaced manual workflows with real-time intelligence.
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Helped improve youth program visibility and national reporting accuracy for Big Brothers Big Sisters.
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Led backend components, database design, and QA for Mesa Farms, bringing a volunteer-built platform up to production-level standards.
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Ongoing collaboration with Code for Good’s internal research group on agentic AI, showing trust in my AI & data-quality work.
