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achafetz/README.md

Hi there 👋

I'm Aaron Chafetz and am a Digital Service Expert in the Digital Service at CMS where I work with other civic-minded technologists on transforming how the federal government delivers healthcare to the American people.

Before CMS, I was Senior Economist at the U.S. Agency for International Development (USAID) in the Office of HIV/AIDS, where I specialized in quantitative analysis of global health data. Most of my work concentrated in analyzing large quantities of data from health facilities and communities around the world, identifying indicator trends and outliers to inform data drive decision making within the interagency space of PEPFAR, the President’s Emergency Plan for AIDS Relief. I worked with a small team of data scientists and analysts (@USAID-OHA-SI), helping to advance analytics, tools, and communication both at headquarters and the field. Working closely with @tessam30, @baboyma, @jaliasd, @karishmas26, and @n-petrovic, we developed a number of R packages for working with PEPFAR data using R, all built off the tidyverse and grounded in principles of reproducibility, transparency and accountability. We designed a R build blocks series based on R for Data Science, but geared towards our headquarters- and mission-base using PEPFAR data and workflows. I'm passionate about data viz and used to run a series called Monday Data Viz and co-developed our office's data viz style guide with @tessam30.

My public presentations can be found on Speaker Deck, my RStudio Conf 2022 talk can be found here and Posit Conf 2023 co-talk can be found here(the first five minutes are missing due to a power outage).

Popular repositories Loading

  1. EA EAPublic

    Outlier Analysis for PEPFAR EA

    Stata 1 1

  2. PartnerProgress PartnerProgressPublic

    Monitoring of partner progress towards their COP targets

    Stata 1 5

  3. DataPack DataPackPublic

    PEPFAR Targeting Tool for Country Operating Plan (COP) 18

    Visual Basic 1 4

  4. ICPI_Projects ICPI_ProjectsPublic

    R 1 2

  5. nationalparkcolors nationalparkcolorsPublic

    Forked from katiejolly/nationalparkcolors

    R package for color themes inspired by national parks

    R 1

  6. Bangladesh BangladeshPublic

    Forked from tessam30/Bangladesh

    Geospatial Livelihoods Analysis for Bangladesh Mission

    Stata

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all
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}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
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achafetz/README.md

Hi there 👋

I'm Aaron Chafetz and am a Digital Service Expert in the Digital Service at CMS where I work with other civic-minded technologists on transforming how the federal government delivers healthcare to the American people.

Before CMS, I was Senior Economist at the U.S. Agency for International Development (USAID) in the Office of HIV/AIDS, where I specialized in quantitative analysis of global health data. Most of my work concentrated in analyzing large quantities of data from health facilities and communities around the world, identifying indicator trends and outliers to inform data drive decision making within the interagency space of PEPFAR, the President’s Emergency Plan for AIDS Relief. I worked with a small team of data scientists and analysts (@USAID-OHA-SI), helping to advance analytics, tools, and communication both at headquarters and the field. Working closely with @tessam30, @baboyma, @jaliasd, @karishmas26, and @n-petrovic, we developed a number of R packages for working with PEPFAR data using R, all built off the tidyverse and grounded in principles of reproducibility, transparency and accountability. We designed a R build blocks series based on R for Data Science, but geared towards our headquarters- and mission-base using PEPFAR data and workflows. I'm passionate about data viz and used to run a series called Monday Data Viz and co-developed our office's data viz style guide with @tessam30.

My public presentations can be found on Speaker Deck, my RStudio Conf 2022 talk can be found here and Posit Conf 2023 co-talk can be found here(the first five minutes are missing due to a power outage).

Popular repositories Loading

  1. EA EAPublic

    Outlier Analysis for PEPFAR EA

    Stata 1 1

  2. PartnerProgress PartnerProgressPublic

    Monitoring of partner progress towards their COP targets

    Stata 1 5

  3. DataPack DataPackPublic

    PEPFAR Targeting Tool for Country Operating Plan (COP) 18

    Visual Basic 1 4

  4. ICPI_Projects ICPI_ProjectsPublic

    R 1 2

  5. nationalparkcolors nationalparkcolorsPublic

    Forked from katiejolly/nationalparkcolors

    R package for color themes inspired by national parks

    R 1

  6. Bangladesh BangladeshPublic

    Forked from tessam30/Bangladesh

    Geospatial Livelihoods Analysis for Bangladesh Mission

    Stata

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix"); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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achafetz/README.md

Hi there 👋

I'm Aaron Chafetz and am a Digital Service Expert in the Digital Service at CMS where I work with other civic-minded technologists on transforming how the federal government delivers healthcare to the American people.

Before CMS, I was Senior Economist at the U.S. Agency for International Development (USAID) in the Office of HIV/AIDS, where I specialized in quantitative analysis of global health data. Most of my work concentrated in analyzing large quantities of data from health facilities and communities around the world, identifying indicator trends and outliers to inform data drive decision making within the interagency space of PEPFAR, the President’s Emergency Plan for AIDS Relief. I worked with a small team of data scientists and analysts (@USAID-OHA-SI), helping to advance analytics, tools, and communication both at headquarters and the field. Working closely with @tessam30, @baboyma, @jaliasd, @karishmas26, and @n-petrovic, we developed a number of R packages for working with PEPFAR data using R, all built off the tidyverse and grounded in principles of reproducibility, transparency and accountability. We designed a R build blocks series based on R for Data Science, but geared towards our headquarters- and mission-base using PEPFAR data and workflows. I'm passionate about data viz and used to run a series called Monday Data Viz and co-developed our office's data viz style guide with @tessam30.

My public presentations can be found on Speaker Deck, my RStudio Conf 2022 talk can be found here and Posit Conf 2023 co-talk can be found here(the first five minutes are missing due to a power outage).

Popular repositories Loading

  1. EA EAPublic

    Outlier Analysis for PEPFAR EA

    Stata 1 1

  2. PartnerProgress PartnerProgressPublic

    Monitoring of partner progress towards their COP targets

    Stata 1 5

  3. DataPack DataPackPublic

    PEPFAR Targeting Tool for Country Operating Plan (COP) 18

    Visual Basic 1 4

  4. ICPI_Projects ICPI_ProjectsPublic

    R 1 2

  5. nationalparkcolors nationalparkcolorsPublic

    Forked from katiejolly/nationalparkcolors

    R package for color themes inspired by national parks

    R 1

  6. Bangladesh BangladeshPublic

    Forked from tessam30/Bangladesh

    Geospatial Livelihoods Analysis for Bangladesh Mission

    Stata

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms"); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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achafetz/README.md

Hi there 👋

I'm Aaron Chafetz and am a Digital Service Expert in the Digital Service at CMS where I work with other civic-minded technologists on transforming how the federal government delivers healthcare to the American people.

Before CMS, I was Senior Economist at the U.S. Agency for International Development (USAID) in the Office of HIV/AIDS, where I specialized in quantitative analysis of global health data. Most of my work concentrated in analyzing large quantities of data from health facilities and communities around the world, identifying indicator trends and outliers to inform data drive decision making within the interagency space of PEPFAR, the President’s Emergency Plan for AIDS Relief. I worked with a small team of data scientists and analysts (@USAID-OHA-SI), helping to advance analytics, tools, and communication both at headquarters and the field. Working closely with @tessam30, @baboyma, @jaliasd, @karishmas26, and @n-petrovic, we developed a number of R packages for working with PEPFAR data using R, all built off the tidyverse and grounded in principles of reproducibility, transparency and accountability. We designed a R build blocks series based on R for Data Science, but geared towards our headquarters- and mission-base using PEPFAR data and workflows. I'm passionate about data viz and used to run a series called Monday Data Viz and co-developed our office's data viz style guide with @tessam30.

My public presentations can be found on Speaker Deck, my RStudio Conf 2022 talk can be found here and Posit Conf 2023 co-talk can be found here(the first five minutes are missing due to a power outage).

Popular repositories Loading

  1. EA EAPublic

    Outlier Analysis for PEPFAR EA

    Stata 1 1

  2. PartnerProgress PartnerProgressPublic

    Monitoring of partner progress towards their COP targets

    Stata 1 5

  3. DataPack DataPackPublic

    PEPFAR Targeting Tool for Country Operating Plan (COP) 18

    Visual Basic 1 4

  4. ICPI_Projects ICPI_ProjectsPublic

    R 1 2

  5. nationalparkcolors nationalparkcolorsPublic

    Forked from katiejolly/nationalparkcolors

    R package for color themes inspired by national parks

    R 1

  6. Bangladesh BangladeshPublic

    Forked from tessam30/Bangladesh

    Geospatial Livelihoods Analysis for Bangladesh Mission

    Stata

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links"); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
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achafetz/README.md

Hi there 👋

I'm Aaron Chafetz and am a Digital Service Expert in the Digital Service at CMS where I work with other civic-minded technologists on transforming how the federal government delivers healthcare to the American people.

Before CMS, I was Senior Economist at the U.S. Agency for International Development (USAID) in the Office of HIV/AIDS, where I specialized in quantitative analysis of global health data. Most of my work concentrated in analyzing large quantities of data from health facilities and communities around the world, identifying indicator trends and outliers to inform data drive decision making within the interagency space of PEPFAR, the President’s Emergency Plan for AIDS Relief. I worked with a small team of data scientists and analysts (@USAID-OHA-SI), helping to advance analytics, tools, and communication both at headquarters and the field. Working closely with @tessam30, @baboyma, @jaliasd, @karishmas26, and @n-petrovic, we developed a number of R packages for working with PEPFAR data using R, all built off the tidyverse and grounded in principles of reproducibility, transparency and accountability. We designed a R build blocks series based on R for Data Science, but geared towards our headquarters- and mission-base using PEPFAR data and workflows. I'm passionate about data viz and used to run a series called Monday Data Viz and co-developed our office's data viz style guide with @tessam30.

My public presentations can be found on Speaker Deck, my RStudio Conf 2022 talk can be found here and Posit Conf 2023 co-talk can be found here(the first five minutes are missing due to a power outage).

Popular repositories Loading

  1. EA EAPublic

    Outlier Analysis for PEPFAR EA

    Stata 1 1

  2. PartnerProgress PartnerProgressPublic

    Monitoring of partner progress towards their COP targets

    Stata 1 5

  3. DataPack DataPackPublic

    PEPFAR Targeting Tool for Country Operating Plan (COP) 18

    Visual Basic 1 4

  4. ICPI_Projects ICPI_ProjectsPublic

    R 1 2

  5. nationalparkcolors nationalparkcolorsPublic

    Forked from katiejolly/nationalparkcolors

    R package for color themes inspired by national parks

    R 1

  6. Bangladesh BangladeshPublic

    Forked from tessam30/Bangladesh

    Geospatial Livelihoods Analysis for Bangladesh Mission

    Stata

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default"); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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achafetz/README.md

Hi there 👋

I'm Aaron Chafetz and am a Digital Service Expert in the Digital Service at CMS where I work with other civic-minded technologists on transforming how the federal government delivers healthcare to the American people.

Before CMS, I was Senior Economist at the U.S. Agency for International Development (USAID) in the Office of HIV/AIDS, where I specialized in quantitative analysis of global health data. Most of my work concentrated in analyzing large quantities of data from health facilities and communities around the world, identifying indicator trends and outliers to inform data drive decision making within the interagency space of PEPFAR, the President’s Emergency Plan for AIDS Relief. I worked with a small team of data scientists and analysts (@USAID-OHA-SI), helping to advance analytics, tools, and communication both at headquarters and the field. Working closely with @tessam30, @baboyma, @jaliasd, @karishmas26, and @n-petrovic, we developed a number of R packages for working with PEPFAR data using R, all built off the tidyverse and grounded in principles of reproducibility, transparency and accountability. We designed a R build blocks series based on R for Data Science, but geared towards our headquarters- and mission-base using PEPFAR data and workflows. I'm passionate about data viz and used to run a series called Monday Data Viz and co-developed our office's data viz style guide with @tessam30.

My public presentations can be found on Speaker Deck, my RStudio Conf 2022 talk can be found here and Posit Conf 2023 co-talk can be found here(the first five minutes are missing due to a power outage).

Popular repositories Loading

  1. EA EAPublic

    Outlier Analysis for PEPFAR EA

    Stata 1 1

  2. PartnerProgress PartnerProgressPublic

    Monitoring of partner progress towards their COP targets

    Stata 1 5

  3. DataPack DataPackPublic

    PEPFAR Targeting Tool for Country Operating Plan (COP) 18

    Visual Basic 1 4

  4. ICPI_Projects ICPI_ProjectsPublic

    R 1 2

  5. nationalparkcolors nationalparkcolorsPublic

    Forked from katiejolly/nationalparkcolors

    R package for color themes inspired by national parks

    R 1

  6. Bangladesh BangladeshPublic

    Forked from tessam30/Bangladesh

    Geospatial Livelihoods Analysis for Bangladesh Mission

    Stata

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers"); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content
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Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
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achafetz/README.md

Hi there 👋

I'm Aaron Chafetz and am a Digital Service Expert in the Digital Service at CMS where I work with other civic-minded technologists on transforming how the federal government delivers healthcare to the American people.

Before CMS, I was Senior Economist at the U.S. Agency for International Development (USAID) in the Office of HIV/AIDS, where I specialized in quantitative analysis of global health data. Most of my work concentrated in analyzing large quantities of data from health facilities and communities around the world, identifying indicator trends and outliers to inform data drive decision making within the interagency space of PEPFAR, the President’s Emergency Plan for AIDS Relief. I worked with a small team of data scientists and analysts (@USAID-OHA-SI), helping to advance analytics, tools, and communication both at headquarters and the field. Working closely with @tessam30, @baboyma, @jaliasd, @karishmas26, and @n-petrovic, we developed a number of R packages for working with PEPFAR data using R, all built off the tidyverse and grounded in principles of reproducibility, transparency and accountability. We designed a R build blocks series based on R for Data Science, but geared towards our headquarters- and mission-base using PEPFAR data and workflows. I'm passionate about data viz and used to run a series called Monday Data Viz and co-developed our office's data viz style guide with @tessam30.

My public presentations can be found on Speaker Deck, my RStudio Conf 2022 talk can be found here and Posit Conf 2023 co-talk can be found here(the first five minutes are missing due to a power outage).

Popular repositories Loading

  1. EA EAPublic

    Outlier Analysis for PEPFAR EA

    Stata 1 1

  2. PartnerProgress PartnerProgressPublic

    Monitoring of partner progress towards their COP targets

    Stata 1 5

  3. DataPack DataPackPublic

    PEPFAR Targeting Tool for Country Operating Plan (COP) 18

    Visual Basic 1 4

  4. ICPI_Projects ICPI_ProjectsPublic

    R 1 2

  5. nationalparkcolors nationalparkcolorsPublic

    Forked from katiejolly/nationalparkcolors

    R package for color themes inspired by national parks

    R 1

  6. Bangladesh BangladeshPublic

    Forked from tessam30/Bangladesh

    Geospatial Livelihoods Analysis for Bangladesh Mission

    Stata

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achafetz/README.md

Hi there 👋

I'm Aaron Chafetz and am a Digital Service Expert in the Digital Service at CMS where I work with other civic-minded technologists on transforming how the federal government delivers healthcare to the American people.

Before CMS, I was Senior Economist at the U.S. Agency for International Development (USAID) in the Office of HIV/AIDS, where I specialized in quantitative analysis of global health data. Most of my work concentrated in analyzing large quantities of data from health facilities and communities around the world, identifying indicator trends and outliers to inform data drive decision making within the interagency space of PEPFAR, the President’s Emergency Plan for AIDS Relief. I worked with a small team of data scientists and analysts (@USAID-OHA-SI), helping to advance analytics, tools, and communication both at headquarters and the field. Working closely with @tessam30, @baboyma, @jaliasd, @karishmas26, and @n-petrovic, we developed a number of R packages for working with PEPFAR data using R, all built off the tidyverse and grounded in principles of reproducibility, transparency and accountability. We designed a R build blocks series based on R for Data Science, but geared towards our headquarters- and mission-base using PEPFAR data and workflows. I'm passionate about data viz and used to run a series called Monday Data Viz and co-developed our office's data viz style guide with @tessam30.

My public presentations can be found on Speaker Deck, my RStudio Conf 2022 talk can be found here and Posit Conf 2023 co-talk can be found here(the first five minutes are missing due to a power outage).

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