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BeratAlioglu/README.md

Hi, I'm Berat

I'm a Mathematics and Statistics graduate currently studying MSc Actuarial Science and Data Analytics at Queen Mary University of London.

My interests include actuarial modelling, claims reserving, insurance analytics, financial mathematics and quantitative methods.

Current Project

My MSc dissertation investigates how claims inflation can be estimated and projected, how sampling volatility and trend-period selection affect the estimate, and how alternative future inflation assumptions affect reserve adequacy.

The project includes:

  • Log-linear severity modelling
  • Mean, median and winsorised estimators
  • Monte Carlo simulation and credibility analysis
  • Threshold and large-loss diagnostics
  • Chain Ladder reserving
  • Reserve inflation sensitivity

Tools

Python · NumPy · Matplotlib · Excel · LaTeX

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  1. claims-inflation-motor-insuranceclaims-inflation-motor-insurancePublic

    MSc actuarial dissertation analysis: claims inflation estimation, Monte Carlo credibility, threshold effects and reserve sensitivity.

    Python

, '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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BeratAlioglu/README.md

Hi, I'm Berat

I'm a Mathematics and Statistics graduate currently studying MSc Actuarial Science and Data Analytics at Queen Mary University of London.

My interests include actuarial modelling, claims reserving, insurance analytics, financial mathematics and quantitative methods.

Current Project

My MSc dissertation investigates how claims inflation can be estimated and projected, how sampling volatility and trend-period selection affect the estimate, and how alternative future inflation assumptions affect reserve adequacy.

The project includes:

  • Log-linear severity modelling
  • Mean, median and winsorised estimators
  • Monte Carlo simulation and credibility analysis
  • Threshold and large-loss diagnostics
  • Chain Ladder reserving
  • Reserve inflation sensitivity

Tools

Python · NumPy · Matplotlib · Excel · LaTeX

Pinned Loading

  1. claims-inflation-motor-insuranceclaims-inflation-motor-insurancePublic

    MSc actuarial dissertation analysis: claims inflation estimation, Monte Carlo credibility, threshold effects and reserve sensitivity.

    Python

, '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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BeratAlioglu/README.md

Hi, I'm Berat

I'm a Mathematics and Statistics graduate currently studying MSc Actuarial Science and Data Analytics at Queen Mary University of London.

My interests include actuarial modelling, claims reserving, insurance analytics, financial mathematics and quantitative methods.

Current Project

My MSc dissertation investigates how claims inflation can be estimated and projected, how sampling volatility and trend-period selection affect the estimate, and how alternative future inflation assumptions affect reserve adequacy.

The project includes:

  • Log-linear severity modelling
  • Mean, median and winsorised estimators
  • Monte Carlo simulation and credibility analysis
  • Threshold and large-loss diagnostics
  • Chain Ladder reserving
  • Reserve inflation sensitivity

Tools

Python · NumPy · Matplotlib · Excel · LaTeX

Pinned Loading

  1. claims-inflation-motor-insuranceclaims-inflation-motor-insurancePublic

    MSc actuarial dissertation analysis: claims inflation estimation, Monte Carlo credibility, threshold effects and reserve sensitivity.

    Python

, '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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BeratAlioglu/README.md

Hi, I'm Berat

I'm a Mathematics and Statistics graduate currently studying MSc Actuarial Science and Data Analytics at Queen Mary University of London.

My interests include actuarial modelling, claims reserving, insurance analytics, financial mathematics and quantitative methods.

Current Project

My MSc dissertation investigates how claims inflation can be estimated and projected, how sampling volatility and trend-period selection affect the estimate, and how alternative future inflation assumptions affect reserve adequacy.

The project includes:

  • Log-linear severity modelling
  • Mean, median and winsorised estimators
  • Monte Carlo simulation and credibility analysis
  • Threshold and large-loss diagnostics
  • Chain Ladder reserving
  • Reserve inflation sensitivity

Tools

Python · NumPy · Matplotlib · Excel · LaTeX

Pinned Loading

  1. claims-inflation-motor-insuranceclaims-inflation-motor-insurancePublic

    MSc actuarial dissertation analysis: claims inflation estimation, Monte Carlo credibility, threshold effects and reserve sensitivity.

    Python

, '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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BeratAlioglu/README.md

Hi, I'm Berat

I'm a Mathematics and Statistics graduate currently studying MSc Actuarial Science and Data Analytics at Queen Mary University of London.

My interests include actuarial modelling, claims reserving, insurance analytics, financial mathematics and quantitative methods.

Current Project

My MSc dissertation investigates how claims inflation can be estimated and projected, how sampling volatility and trend-period selection affect the estimate, and how alternative future inflation assumptions affect reserve adequacy.

The project includes:

  • Log-linear severity modelling
  • Mean, median and winsorised estimators
  • Monte Carlo simulation and credibility analysis
  • Threshold and large-loss diagnostics
  • Chain Ladder reserving
  • Reserve inflation sensitivity

Tools

Python · NumPy · Matplotlib · Excel · LaTeX

Pinned Loading

  1. claims-inflation-motor-insuranceclaims-inflation-motor-insurancePublic

    MSc actuarial dissertation analysis: claims inflation estimation, Monte Carlo credibility, threshold effects and reserve sensitivity.

    Python

, '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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BeratAlioglu/README.md

Hi, I'm Berat

I'm a Mathematics and Statistics graduate currently studying MSc Actuarial Science and Data Analytics at Queen Mary University of London.

My interests include actuarial modelling, claims reserving, insurance analytics, financial mathematics and quantitative methods.

Current Project

My MSc dissertation investigates how claims inflation can be estimated and projected, how sampling volatility and trend-period selection affect the estimate, and how alternative future inflation assumptions affect reserve adequacy.

The project includes:

  • Log-linear severity modelling
  • Mean, median and winsorised estimators
  • Monte Carlo simulation and credibility analysis
  • Threshold and large-loss diagnostics
  • Chain Ladder reserving
  • Reserve inflation sensitivity

Tools

Python · NumPy · Matplotlib · Excel · LaTeX

Pinned Loading

  1. claims-inflation-motor-insuranceclaims-inflation-motor-insurancePublic

    MSc actuarial dissertation analysis: claims inflation estimation, Monte Carlo credibility, threshold effects and reserve sensitivity.

    Python

, '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('^' + ".*" + '
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BeratAlioglu/README.md

Hi, I'm Berat

I'm a Mathematics and Statistics graduate currently studying MSc Actuarial Science and Data Analytics at Queen Mary University of London.

My interests include actuarial modelling, claims reserving, insurance analytics, financial mathematics and quantitative methods.

Current Project

My MSc dissertation investigates how claims inflation can be estimated and projected, how sampling volatility and trend-period selection affect the estimate, and how alternative future inflation assumptions affect reserve adequacy.

The project includes:

  • Log-linear severity modelling
  • Mean, median and winsorised estimators
  • Monte Carlo simulation and credibility analysis
  • Threshold and large-loss diagnostics
  • Chain Ladder reserving
  • Reserve inflation sensitivity

Tools

Python · NumPy · Matplotlib · Excel · LaTeX

Pinned Loading

  1. claims-inflation-motor-insuranceclaims-inflation-motor-insurancePublic

    MSc actuarial dissertation analysis: claims inflation estimation, Monte Carlo credibility, threshold effects and reserve sensitivity.

    Python

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode"); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })();
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BeratAlioglu/README.md

Hi, I'm Berat

I'm a Mathematics and Statistics graduate currently studying MSc Actuarial Science and Data Analytics at Queen Mary University of London.

My interests include actuarial modelling, claims reserving, insurance analytics, financial mathematics and quantitative methods.

Current Project

My MSc dissertation investigates how claims inflation can be estimated and projected, how sampling volatility and trend-period selection affect the estimate, and how alternative future inflation assumptions affect reserve adequacy.

The project includes:

  • Log-linear severity modelling
  • Mean, median and winsorised estimators
  • Monte Carlo simulation and credibility analysis
  • Threshold and large-loss diagnostics
  • Chain Ladder reserving
  • Reserve inflation sensitivity

Tools

Python · NumPy · Matplotlib · Excel · LaTeX

Pinned Loading

  1. claims-inflation-motor-insuranceclaims-inflation-motor-insurancePublic

    MSc actuarial dissertation analysis: claims inflation estimation, Monte Carlo credibility, threshold effects and reserve sensitivity.

    Python