Kevin Crouse Email & Phone Number

Maryland, United States

As the Data Ingestion Engineer with Nextonic Solutions, I build data pipelines for the National Center for Advancing Translational Sciences (NCATS), a division of the National Institutes of Health (NIH). In this role, I: • Design, develop, and implement efficient data ingestion (ETL/ELT) processes, primarily with Python;• Validate the data to ensure accuracy, consistency, and integrity at every stage of the ingestion process;• Automate workflows to minimizing the need for manual monitoring or routine interaction;• Manage, monitor, and optimize databases (Postgres, MySQL) to ensure high availability, performance, and scalability;• Implement best practices for indexing, query optimization, and database tuning to ensure optimal query performance.

Philadelphia, Pennsylvania, United States

As the Data Engineer in the District Attorney's, I:- build infrastructure tools and libraries to help our researchers and data analysts easily build reports and conduct analyses.- moved the office to Apache Airflow from outdated crons and maintain automated systems for ETL, data validation, and reporting. - create clean, flexible, continually updated data sets in Apache Parquet format for use in multi-language, multi-platform contexts about the criminal justice system and the welfare of individuals associated with the criminal justice system.- Maintain a cloud-based, flexible AWS EC2 development environment for the analyst and research teams to work in that leverages images, backups, and the AWS python API to spin up and shut down new instances as necessary.- Manage DATA Lab databases in AWS RDS and NoSQL databases and move towards more sophisticated data warehousing to further support colleagues in advanced analytics.- Evangelize and educate teams across the DAO on standard methodologies around data services development, data privacy and security, good programming practices, and improving efficiency.- Improve DAO data operations by automating manual processes, optimizing data storage and delivery, and redesigning infrastructure for scalability.

Greater Philadelphia Area

My office developed, managed, implemented, and oversaw projects and initiatives that relate to establishing effective data governance policies and ensuring data quality of school district administrative data. Sitting adjacent to the division of Information Technology, my work was divided between proactive governance policy development, analytics that supported program office business needs, oversight of major data quality initiatives, and custom data science investigations for higher level data insights. I designed and implemented data validation systems to achieve and maintain high levels of data quality and directly manage and oversee the data validation work of the Evaluation, Research, and Accountability division.

Greater Philadelphia Area

In the Planning and Evidence-Based Support Office, I helped school leaders set measurable goals, monitor progress, and use evidence in the decision-making surrounding data outcomes. This included working in continuous improvement cycles, building programmatic tools and reports to facilitate progress monitoring, performing ad-hoc analyses to assist Assistant Superintendents and other school and district leaders, and leading implementation of performance management initiatives.

Rutgers Graduate School Of Applied And Professional Psychology, Piscataway, Nj

The School System Improvement Project seeks to help improve teacher and school effectiveness. It is funded through a $40 Million US Department of Education Teacher Incentive Fund grant to deploy new measures of effectiveness in schools over through course of five years. In this role, I built a data management systems to analyze, integrate, quality control, and process disparate datasets that included state rosters, local assessments, PARCC & other standardized assessment data, and teacher observations; conducted quantitative teacher effectiveness analyses; coordinated data-gathering with schools; automated the identification of incorrect data entry scenarios; balanced priority needs of project managers, researchers, instructional coaches, and school administrators; developed better quality control procedures to minimize errors; prepared proposals and presentations for annual reports, academic conferences, and school feedback. I used SQLite and Postgres for database management, Python for automation, and R and SPSS for data analysis.

Newark, Nj

For this internship during my doctoral work, I aggregated, integrated, and analyzed teacher and student data available through several databases (including PowerSchool and ADP), spreadsheets, and other data sources. I conducted interviews to understand current practices and uses of data. I used R/Shiny, Python, and Perl to conduct analyses.

4444 Forest Park Ave, Saint Louis, Mo 63110

At TGI, my role as a senior, full-stack software developer helped to produce high quality genetic sequence for projects that included the Human Genome Project and The Cancer Genome Atlas. This included the full lifecycle of software and database development, project management duties ranging from requirements gathering and problem formation to group facilitation of multiple stakeholders, and serving as a rotating project lead of developer teams for the final design, implementation, and quality control. I developed standalone applications, web MVC and REST platforms, both OLTP (production) and OLAP (Business Intelligence) database systems, and data analysis tools to facilitate data-driven decision-making. We used a polyglot of languages and systems. While the term "big data" came into parlance after my time at TGI, I was directly responsible for production systems that generated roughly 12 million unique _final_ data elements per day, each that had gone through a pipeline that chained between 50 and 200 attributes and actions to them. As an example of the scale that we handled, our team had to deal with the limits of data throughput across CAT5 cable because we generated more data each day than could be transferred in 24 hours.

Setiu, Terengganu, Malaysia

Teaching Malaysian students English Language and Literature.

Doctor Of Philosophy (Ph.D.), Educational Theory, Organization, And Policy, 4.0

My research focuses on (A) the organizational impacts and outcomes of teacher and school effectiveness measures and (B) data and evidence.

Master’S Degree, Education, 4.0

Coursework focused heavily on mixed methods across the social sciences and includes multivariate statistics, social network analysis.

Bachelor’S Degree, English Literature ; Education, 3.61

Activities and Societies: Arts and Sciences College Honors ; Resident Advisor; Sigma Tau Delta English Honorary ; National Residence Hall.

Bachelor’S Degree, Computer Science, 3.61

Activities and Societies: Graduated with college honors