I am excited about using data to inform decision-making and improve outcomes in various domains such as politics, science, and conservation. I have strong skills in Python, SQL, Spark, and AWS, and I enjoy learning new tools and technologies to solve data challenges.As the Senior Data and Analytics Engineer at Analyst Institute, I engineered data infrastructure for the largest known individual level meta-analysis in politics, using cloud services (AWS with Spark) to connect the data of 65 million people across hundreds of research projects. I also acted as an in-house consultant for AI's data and engineering, and create educational resources for AI's meta-analysis curriculum for political organizations.Before joining AI, I was the Data Manager and Engineer at the Center for Open Science, where I designed, built, and maintained vital project infrastructure for SCORE, a DARPA-funded initiative to evaluate the reliability of social science research. I was responsible for the quality and delivery of internally-generated data to external machine learning teams, the data security and blinding of each team, and the ingestion of information from 10+ research and open science sources. I also headed the Data Extraction team and coordinated with journal publishers to ease the project data pipeline.I have a Data Engineering Nanodegree from Udacity and a Master of Arts degree from the University of Florida, where I developed a comprehensive analysis using worldwide data from 30+ years of ecological research, and applied various statistical and machine learning techniques to compare model effectiveness.Skills: ETL, ELT, Amazon Web Services (AWS), Python, PySpark, Apache Spark, Snowflake, SQL, dbt, data warehousing, data mining, data pipelines, data governance, data engineering, Amazon Redshift, data modeling, machine learning, Apache Airflow, PostgreSQL
Simon Parsons Consulting
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Data Engineering ConsultantSimon Parsons ConsultingPhiladelphia, Pa, Us
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Data Science ConsultantSimon Parsons Consulting Nov 2023 - Present• 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
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Senior Data And Analytics EngineerAnalyst Institute Nov 2021 - Jun 2023• 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 -
Data Manager / Data EngineerCenter For Open Science Feb 2019 - Feb 2022Remote• 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 -
Flas FellowUniversity Of Florida 2017 - 2018Thesis: 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) -
Lead Research TechnicianNeon, Inc. 2014 - 2016Gainesville, FlEntered, 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.
Simon Parsons Education Details
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Wildlife Ecology
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Master Of Arts Degree
Frequently Asked Questions about Simon Parsons
What company does Simon Parsons work for?
Simon Parsons works for Simon Parsons Consulting
What is Simon Parsons's role at the current company?
Simon Parsons's current role is Data Engineering Consultant.
What schools did Simon Parsons attend?
Simon Parsons attended University Of Florida, Udacity, University Of Florida.
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