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Last active April 7, 2025 16:02
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{
"$schema": "https://raw.githubusercontent.com/jsonresume/resume-schema/v1.0.0/schema.json",
"basics": {
"name": "Philip Nelson",
"label": "Data Analyst & IT Specialist",
"email": "[email protected]",
"summary": "Results-driven Data Analyst and IT Specialist with expertise in automation, data analysis, and cloud technologies. Proven ability to streamline workflows, improve data accessibility, and drive data-driven decision-making.",
"location": {
"countryCode": "US",
"region": "South Carolina"
},
"profiles": []
},
"work": [
{
"name": "HHS-OIG",
"position": "IT Specialist",
"startDate": "2024-07-15",
"summary": "Develops automation solutions to optimize data workflows and reduce manual toil. Conducts data analysis and cloud-based data processing to support decision-making processes.",
"highlights": [
"Partcipates in initiatives to transition analysts from legacy SAS workflows to modern Python and cloud based solutions.",
"Conducts testing and validation for various systems that will be used by analysts as the organziation transitions.",
"Tests emerging technologies within the federal space while working with customers to make sure these solutions meet their needs.",
"Liases between developers and analysts to gather requirements for an object oriented library for analysts.",
"Conducts agency related work using both documented and undocumented REST APIs to allow OIG to expand its capabilities beyond typically used data sources."
]
},
{
"name": "Pandemic Response Accountability Committee",
"position": "Data Science Fellow",
"startDate": "2022-05",
"endDate": "2024-07-12",
"summary": "Conducted data extraction and analysis projects related to pandemic relief programs, ensuring transparency and oversight.",
"highlights": [
"Optimized Python scripts, reducing execution time from hours to minutes, improving efficiency in data processing.",
"Maintained a dashboard for monitoring COVID-19 test kit billing, which contributed to fraud investigations.",
"Performed over 100 data extractions and analyses to support oversight efforts on pandemic-related relief programs.",
"Developed SQL-based fraud detection queries, identifying anomalies in relief program spending and leading to case referrals.",
"Led training sessions on Jupyter Notebooks to orient fellow analysts towards a more modern data analytics workflow.",
""
]
}
],
"education": [
{
"institution": "Winthrop University",
"area": "Computer Science",
"studyType": "Bachelor",
"startDate": "2017-08-02",
"endDate": "2021-12-02",
"score": "",
"courses": []
}
],
"certificates": [
{
"name": "Healthcare 101",
"date": "2023-09-20",
"issuer": "HHS-OIG"
},
{
"name": "SAS EBI Level I Training",
"date": "2023-01-27",
"issuer": "One PI"
},
{
"name": "COVID Fraud Training",
"date": "2024-02-15",
"issuer": "HHS-OIG"
}
],
"skills": [
{
"name": "Programming Languages",
"level": "Proficient",
"keywords": [
"Python",
"SQL"
]
},
{
"name": "Data Tools & Software",
"level": "",
"keywords": [
"AWS Textract",
"DuckDB",
"DBeaver",
"Jupyter Notebooks",
"Microsoft Suite"
]
}
],
"references": [
{
"name": "Jennifer Wagner",
"reference": "Director, Division of Data Analytics, HHS Office of Inspector General"
},
{
"name": "Mandy Brooks",
"reference": "Senior Program Analyst, HHS Office of Inspector General"
},
{
"name": "Karen Lowe",
"reference": "Program Analyst, HHS Office of Inspector General"
}
],
"projects": [
{
"name": "Every Census Place (twitter bot)",
"description": "A bot that fetched Google Maps imagery of US Census Places and posted them to twitter. Utilized rasterio and geopandas in order to mask the images so only imagery within the place boundary were displayed.",
"highlights": [],
"keywords": [],
"startDate": "2021-10-02",
"endDate": "2022-11-31",
"url": "https://github.com/blu3r4d0n/places-bot",
"roles": []
}
],
"languages": []
}
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