John Burke Email & Phone Number
Who is John Burke? Overview
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John Burke is listed as Bitcoin Miner at Self-employed, based in Nashville, Tennessee, United States. AeroLeads shows a matched LinkedIn profile for John Burke.
John Burke previously worked as Data Engineer (Pricing / Product) at Bridger Insurance Services and Senior Pricing Analyst at Bridger Insurance Services. John Burke holds Bachelor'S Of Business Administration, Economics from Belmont University.
Email format at Self-employed
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About John Burke
I specialize in automation, predictive analytics, and economic research across industries such as insurance, technology, and finance. Recently, I was promoted to a role as Data Engineer (Product / Pricing) at Bridger Insurance, where I am focused on streamlining data processes, such as automating loss development triangles, and producing end-of-month reports that have significantly reduced reporting time and costs. Far from just “taking requirements,” I also leverage my extensive experience as an analyst / data scientist to proactively develop quantitative models and help shape projects and raise out team’s analytical watermark. I learned a long time ago that I am energized by my diverse interests – each pursuit brings energy and experience to the rest. Over a decade as a business owner has allowed me to achieve financial independence, while further honing my expertise in areas like project automation, regulatory analysis, tax planning, and capital deployment across diverse investment ventures, from e-commerce to real estate. I’m always thrilled to have a conversation where I can leverage my technical and analytical skills to deliver actionable insights, strategic solutions, and operational efficiencies to clients across industries—don’t hesitate to reach out if that conversation is of interest to you as well.
Listed skills include Critical Thinking, Economic Analysis, Research, Written And Oral Presentation Skills, and 22 others.
John Burke's current company
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John Burke work experience
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Data Engineer (Pricing / Product)
Current
Senior Pricing Analyst
• Generated 2024-2025 premium and loss forecasts, aiding in securing ~220m in capacity from GenRe and Allianz, potentially doubling company size over that same period.• Accelerated code production for automation efforts such as agency loss ratio, loss development forecasting, and competitive intelligence database setup and analysis by an estimated ~100% via effective prompt engineering with ChatGPT.
Owner
Current- Amazon Marketplace Business that has generated ~1.3m in revenue since 2014.- Rental properties in several SE states since 2020.- BTC Mining; ASICS located in TX, WA, IN, IA since 2021.
Project Lead
• Conducted extensive data-driven economic research on changes in market structure in the technology industry to understand the potential costs and benefits of anti-trust and broadband legislation at national, state, and municipal levels and its impact on key stakeholders. • Lead team of 2-3 research analysts to produce high-quality, technical, and data-driven research reports for clients such as Google, Amazon, X (formerly Twitter), Tik Tok, and Comcast. Deliverables included technical reports that relied on the creation of clean, auditable Excel files with effective charts, pivot tables, and extensive use of formulas. • Accelerated production time with effective use of ChatGPT by using it to help create content in early drafts as well as to reduce the number of drafts in final editing and revision process. • Interviewed executive leadership from Google, Amazon, and Comcast to understand key drivers of and challenges to their success, how their programs operate, and what has driven changes in their key performance metrics over time.• Communicated research to members of Congress and the Senate in one-on-on meetings in Washington, D.C.
Product Analyst
• Automated ingestion and analysis of competitor quote data from multiple online raters to inform launch of independent agent program with annual revenue of ~$50m using Python’s Pandas, Numpy, Sci-py libraries.• Developed and implemented SQL training program for new hires and existing team members with varying degrees of programing experience. Upon completion of the training, continued to mentor team members and assist on SQL, Python, Excel, Tableau, and Alteryx-related projects.• Created clean and auditable Excel reports on a daily basis; regular use of formulas, pivot tables, and shortcuts. • Initiated and led department-wide effort to document projects in Confluence; created training materials and led multiple workshops catering to both technical and non-technical audiences.
Data Scientist I
• Predicted policy life expectancy (PLE) with a combination of Python, DataRobot, and r; engineered features with DataRobot’s machine learning capabilities; features informed an r-generated survival analysis model with right-censoring and Weibull distribution; validation of PLE predictions vs. fully-developed actual data sorted by decile indicated a ~50% reduction in median error compared to existing model. PLE predictions served as input to several lifetime value (LTV) models that informed ~$100m in national advertising buys for Marketing team.• Conducted topic modeling in Python with gensim’s Latent Dirichlet Allocation (LDA) model on text data from chat sessions in The General’s homepage and app to identify meaningful topics and terms; stopwords collected from combination of gensim’s default list, scikit-learn’s inverse document frequency (IDF) ‘weighted terms’ process and iterating on LDA model results; term visualization created with pyLDAviz to present results to business partners, who informed training of chat agents and improved user experience by identifying customer “pain points.”• Led workshop on lifetime value (LTV) models with executives and leaders from teams across the company
Senior Risk Analyst, Strategy & Analytics, Global Program Management
• Generated Gaussian-distributed multi-variable linear regression models with Python’s statsmodels and Pandas libraries that helped consistently forecast daily claims within ~1.5% of actuals for programs with combined annual revenue in excess of $1.5bn to Asurion.• Wrote and maintained stored procedures in SQL that populated a dashboard viewed by senior leadership on a daily basis; optimized inherited SQL code to increase the accuracy of data, adapt to regular program changes, and significantly reduce time devoted to reporting and analysis.• Created monthly forecasts for KPIs with Python and Excel that enhanced understanding across multiple departments which use different definitions of the KPIs. In the process, forecasts and regulatory reporting have been significantly improved.
Research Analyst
• Researched the influence of fiscal, monetary, and regulatory policies on macroeconomic performance at state, national, and international levels under the guidance of economist Arthur B. Laffer, Ph.D.• Co-authored Kentucky: An Economic History and Prosperity Agenda, which provided a data-rich economic history of Kentucky and comprehensive tax reform plan intended to educate state & local policymakers. • Oversaw data collection and modeling by a team of research analysts for the 10th Edition of Rich States, Poor States, an annual assessment of state economic performance published by the American Legislative Exchange Council.• Used IMPLAN® software to conduct two impact analyses on behalf of the Walt Disney Company. Developed innovative practices with IMPLAN® that Disney incorporated into its guidelines for future impact analyses. • Authored a data-driven report assessing the efficacy of film tax incentives on behalf of the Motion Picture Association of America.• Developed software applications with Python that optimized routine data collection. For example, built web-scrapers that significantly reduced time analysts devoted to collecting data from the Bureau of Labor Statistics and Bureau of Economic Analysis.
Research Intern
• Assisted Arthur Laffer, PhD with collection of data and writing for his book The Wealth of States• Co-authored research paper assessing outlook for global economic performance due to changes in tax and regulatory policies
Student Consultant (Contractor)
• One of 20 students chosen nationally to consult on a new edition of an economics textbook• Conducted primary research on how students pursue learning experiences• Collaborated on design of cutting edge digital tools for next-generation economics textbooks
John Burke education
Bachelor'S Of Business Administration, Economics
Hon. Associate Of Science (A.S.), Political Science
Frequently asked questions about John Burke
Quick answers generated from the profile data available on this page.
What company does John Burke work for?
John Burke works for Self-employed.
What is John Burke's role at Self-employed?
John Burke is listed as Bitcoin Miner at Self-employed.
Where is John Burke based?
John Burke is based in Nashville, Tennessee, United States while working with Self-employed.
What companies has John Burke worked for?
John Burke has worked for Self-Employed, Bridger Insurance Services, Laffer Associates, The General®, and Asurion.
How can I contact John Burke?
You can use AeroLeads to view verified contact signals for John Burke at Self-employed, including work email, phone, and LinkedIn data when available.
What schools did John Burke attend?
John Burke holds Bachelor'S Of Business Administration, Economics from Belmont University.
What skills is John Burke known for?
John Burke is listed with skills including Critical Thinking, Economic Analysis, Research, Written And Oral Presentation Skills, Independent Learning, Communication, Time Management, and Strategy.
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