Simon Parsons Email & Phone Number

Philadelphia, Pa, Us

• Builds out data strategy for clients in procuring, organizing, processing, analyzing, and presenting data• Provides expertise in data governance and data asset management, including data classification, data retention policies, and data privacy regulations• Offers guidance on data analysis techniques, statistical modeling, and best practices for data science projects• Collaborates with IT teams to develop and deploy scalable data pipelines and automated workflows for efficient data collection, processing, and storage• Conducts comprehensive data audits to identify data quality issues, cleans and transforms datasets, and conducts data validation to ensure accuracy and consistency

• Designed, constructed, and optimized highly scalable data pipelines using AWS, Python, Spark, and SQL to integrate data from 65 million individuals across 10 years of voter files and hundreds of AI experiments• Created educational data engineering resources for AI's online curriculum for political organizations, reaching thousands of individuals and enabling data-driven decision making• Maintained and proposed improvements for AI’s data lakehouse• Scrutinized all data sets to identify quality issues and potential bias, collaborating closely with analysts to develop and implement mitigating solutions• Documented data flows and engineering choices to foster institutional knowledge

Remote

• Led the design, construction, and ongoing management of essential project pipelines and Python infrastructure for SCORE, a prominent social science reproducibility research project at COS• Automated the creation of 150 project landing pages on the Open Science Framework for external teams; achieved a 90% improvement in process efficiency• Constructed SCORE’s data schema to provide the best format for 4 machine learning algorithms• Ensured quality and delivery of internally-generated data to 8 external teams on the DARPA SCORE project• Ingested data from 10 research and open science sources to enhance SCORE’s datasets for machine learning training sets• Developed system to keep data blinded to individual external teams to maintain scientific rigor

Thesis: Developed comprehensive analysis using worldwide data from 30+ years of academic research. Wrangled and cleaned large amounts of unstructured data. Implemented generalized linear models, linear regression, machine learning, data visualization, and ANOVA to compare sites and model effectiveness.Relevant coursework: Multivariate Statistics, Statistics I/II, Research Methods, Biometry, Data Scientist Track (DataCamp)

Gainesville, Fl

Entered, quality checked, and managed data for NEON’s Southeast domain. Managed rotating weekly teams of 2-4 people. Trained and designed educational resources for 20 temporary technicians.

Bachelor Of Science (B.S.), Wildlife Ecology

Activities and Societies: UF Office of Sustainability intern Studied Wildlife Ecology and Conservation Taught Environmental Plant Use & ID.

Data Engineering Nanodegree Graduate

Stack used: PostgreSQL/Cassandra/Redshift, PySpark, Airflow

Master Of Arts Degree

Developed comprehensive analysis using worldwide data from 30+ years of academic research. Wrangled and cleaned large amounts.