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<!DOCTYPE html>
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<title>Data Science | Will Bracken</title>
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<div class="hero-tag">Python · ML · Visualization · Pipelines</div>
<h1 class="page-title">Data Science</h1>
<p style="color:var(--text-secondary);max-width:520px;margin:.75rem auto 0;font-size:1rem">Exploratory analysis, ML models, interactive dashboards, and production data pipelines.</p>
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<section class="stats-bar">
<div class="stats-inner">
<div class="stat-item"><span class="stat-num">5+</span><span class="stat-label">ML Projects</span></div>
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<main id="main-content">
<!-- Skills + Radar -->
<section class="section-block">
<div class="section-container">
<h2 class="section-title"><span class="title-accent">//</span> Skills & Proficiency</h2>
<p class="section-sub">Core competencies across the data science and ML stack.</p>
<div class="ds-grid">
<div class="ds-panel">
<div class="panel-title"><i class="fas fa-chart-bar"></i> Technical Proficiency</div>
<div class="skill-bar-list" id="skillBars"></div>
</div>
<div class="ds-panel" style="display:flex;flex-direction:column;align-items:center">
<div class="panel-title" style="align-self:flex-start"><i class="fas fa-spider"></i> Capability Radar</div>
<canvas id="radarChart" style="max-width:320px;max-height:320px"></canvas>
</div>
</div>
</div>
</section>
<!-- Projects -->
<section class="section-block">
<div class="section-container">
<h2 class="section-title"><span class="title-accent">//</span> Featured Projects</h2>
<p class="section-sub">Dashboards, models, and pipelines built for real use cases.</p>
<div class="project-cards">
<div class="ds-card" style="animation-delay:.05s">
<div class="card-icon" style="background:rgba(55,118,171,.15);color:#3776AB"><i class="fab fa-python"></i></div>
<div class="card-title">Streamlit Analytics Dashboard</div>
<div class="card-desc">Multi-tab analytics app with DuckDB in-process querying, Plotly interactive charts, CSV/Excel export, and real-time data refresh.</div>
<div class="tag-list"><span class="tag">Python</span><span class="tag">Streamlit</span><span class="tag">DuckDB</span><span class="tag">Plotly</span></div>
<div class="card-links"><a href="https://github.com/BrackenW3/VSCode_Folders" target="_blank" rel="noopener noreferrer" class="card-link"><i class="fab fa-github"></i> VSCode_Folders</a>
<button class="demo-btn py" onclick="openDemo('data-visualization.html','Streamlit Analytics Suite','fab fa-python','https://github.com/BrackenW3/VSCode_Folders')"><i class="fas fa-play"></i> Live Demo</button>
</div>
</div>
<div class="ds-card" style="animation-delay:.1s">
<div class="card-icon" style="background:rgba(0,212,255,.1);color:var(--accent)"><i class="fas fa-brain"></i></div>
<div class="card-title">Local LLM Fine-Tuning Pipeline</div>
<div class="card-desc">QLoRA fine-tuning on RTX 4080 using HuggingFace PEFT + TRL. Supports Qwen2.5-Coder-14B with 16GB VRAM constraint. Docker-portable adapter.</div>
<div class="tag-list"><span class="tag">PyTorch</span><span class="tag">PEFT</span><span class="tag">HuggingFace</span><span class="tag">CUDA</span></div>
<div class="card-links"><a href="https://github.com/BrackenW3/VSCode_Folders" target="_blank" rel="noopener noreferrer" class="card-link"><i class="fab fa-github"></i> VSCode_Folders</a>
<button class="demo-btn ml" onclick="openDemo('ms-teams-demo.html?tab=forecast','Forecast & ML Engine','fas fa-brain','https://github.com/BrackenW3/VSCode_Folders')"><i class="fas fa-play"></i> Live Demo</button>
</div>
</div>
<div class="ds-card" style="animation-delay:.15s">
<div class="card-icon" style="background:rgba(0,229,160,.1);color:var(--green)"><i class="fas fa-database"></i></div>
<div class="card-title">MS Teams Analytics Service</div>
<div class="card-desc">Node.js + DuckDB service processing Teams export data. Parameterized queries, RCE-safe API design, automated chart generation via workers.</div>
<div class="tag-list"><span class="tag">DuckDB</span><span class="tag">Node.js</span><span class="tag">REST API</span><span class="tag">Analytics</span></div>
<div class="card-links"><a href="https://github.com/BrackenW3/MS-Teams-App" target="_blank" rel="noopener noreferrer" class="card-link"><i class="fab fa-github"></i> MS-Teams-App</a>
<button class="demo-btn teams" onclick="openDemo('ms-teams-demo.html','MS Teams Analytics Platform','fab fa-microsoft','https://github.com/BrackenW3/VSCode_Folders')"><i class="fas fa-play"></i> Live Demo</button>
</div>
</div>
<div class="ds-card" style="animation-delay:.2s">
<div class="card-icon" style="background:rgba(247,223,30,.1);color:#F7DF1E"><i class="fas fa-chart-area"></i></div>
<div class="card-title">GitHub Activity Visualizer</div>
<div class="card-desc">D3.js + Chart.js visualizations of GitHub repo stats — contribution heatmaps, language distributions, and growth curves from live API data.</div>
<div class="tag-list"><span class="tag">D3.js</span><span class="tag">Chart.js</span><span class="tag">GitHub API</span><span class="tag">JavaScript</span></div>
<div class="card-links"><a href="https://github.com/BrackenW3/brackenw3.github.io" target="_blank" rel="noopener noreferrer" class="card-link"><i class="fab fa-github"></i> brackenw3.github.io</a></div>
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<div class="ds-card" style="animation-delay:.25s">
<div class="card-icon" style="background:rgba(0,173,216,.1);color:#00ADD8"><i class="fas fa-cogs"></i></div>
<div class="card-title">AI Cost Optimization Orchestrator</div>
<div class="card-desc">Multi-provider AI routing system with cost waterfall logic. Classifies tasks and routes to optimal provider — local, free cloud, or paid API.</div>
<div class="tag-list"><span class="tag">Python</span><span class="tag">PowerShell</span><span class="tag">Multi-AI</span><span class="tag">Optimization</span></div>
<div class="card-links"><a href="https://github.com/BrackenW3/VSCode_Folders" target="_blank" rel="noopener noreferrer" class="card-link"><i class="fab fa-github"></i> VSCode_Folders</a></div>
</div>
<div class="ds-card" style="animation-delay:.3s">
<div class="card-icon" style="background:rgba(204,52,45,.1);color:#CC342D"><i class="fas fa-fire-alt"></i></div>
<div class="card-title">PyTorch CUDA Benchmark Suite</div>
<div class="card-desc">RTX 4080 benchmark suite for model inference speed. Tests batch sizes, precision modes (FP16/BF16), and memory throughput. Outputs JSON reports.</div>
<div class="tag-list"><span class="tag">PyTorch</span><span class="tag">CUDA 12.4</span><span class="tag">RTX 4080</span><span class="tag">Benchmarks</span></div>
<div class="card-links"><a href="https://github.com/BrackenW3/VSCode_Folders" target="_blank" rel="noopener noreferrer" class="card-link"><i class="fab fa-github"></i> VSCode_Folders</a></div>
</div>
</div>
<!-- Interactive Visualization Panel -->
<div class="viz-panel" id="vizPanel">
<div class="viz-tabs" role="tablist">
<button class="viz-tab active" data-tab="teams" role="tab" aria-selected="true"><i class="fas fa-comments"></i> MS Teams Analytics</button>
<button class="viz-tab" data-tab="streamlit" role="tab" aria-selected="false"><i class="fab fa-python"></i> Streamlit Suite</button>
<button class="viz-tab" data-tab="forecasting" role="tab" aria-selected="false"><i class="fas fa-chart-line"></i> Forecast Engine</button>
<button class="viz-tab" data-tab="ml" role="tab" aria-selected="false"><i class="fas fa-brain"></i> ML Training</button>
<button class="viz-tab" data-tab="profiler" role="tab" aria-selected="false"><i class="fas fa-microscope"></i> Data Profiler</button>
</div>
<div class="viz-panes">
<!-- MS Teams Analytics -->
<div class="viz-pane active" id="pane-teams">
<div class="viz-pane-grid">
<div class="viz-chart-box">
<div class="viz-chart-title"><i class="fas fa-comments"></i> Message Volume by Channel</div>
<canvas id="teamsChannelChart" height="180"></canvas>
</div>
<div class="viz-chart-box">
<div class="viz-chart-title"><i class="fas fa-tags"></i> NLP Category Distribution (15 Domains)</div>
<canvas id="teamsNlpChart" height="180"></canvas>
</div>
<div class="viz-chart-box full">
<div class="viz-chart-title"><i class="fas fa-chart-area"></i> Weekly Activity Trend</div>
<canvas id="teamsActivityChart" height="120"></canvas>
</div>
<div class="viz-chart-box full">
<div class="viz-chart-title"><i class="fas fa-th"></i> User Engagement Heatmap — Hour × Day of Week</div>
<div id="teamsEngHeatmap" style="padding:.5rem 0"></div>
<div style="display:flex;gap:.75rem;margin-top:.6rem;font-size:.72rem;color:var(--text-muted);font-family:var(--font-mono)">
<span>Low</span>
<div style="display:flex;gap:2px;align-items:center">
<div style="width:12px;height:12px;border-radius:2px;background:#1a2535"></div>
<div style="width:12px;height:12px;border-radius:2px;background:#0a4a6b"></div>
<div style="width:12px;height:12px;border-radius:2px;background:#0077aa"></div>
<div style="width:12px;height:12px;border-radius:2px;background:#00b4cc"></div>
<div style="width:12px;height:12px;border-radius:2px;background:#00d4ff"></div>
</div>
<span>High</span>
</div>
</div>
</div>
</div>
<!-- Streamlit Suite -->
<div class="viz-pane" id="pane-streamlit">
<div class="viz-pane-grid">
<div class="viz-chart-box">
<div class="viz-chart-title"><i class="fas fa-snowflake"></i> Snowflake Query Performance (ms)</div>
<canvas id="snowflakeChart" height="180"></canvas>
</div>
<div class="viz-chart-box">
<div class="viz-chart-title"><i class="fas fa-tasks"></i> Jira Sprint Burndown</div>
<canvas id="jiraChart" height="180"></canvas>
</div>
<div class="viz-chart-box full">
<div class="viz-chart-title"><i class="fas fa-book"></i> Confluence Page Views Heatmap</div>
<div id="confluenceHeatmap" style="padding:.75rem 0"></div>
</div>
</div>
</div>
<!-- Forecasting -->
<div class="viz-pane" id="pane-forecasting">
<div class="viz-pane-grid">
<div class="viz-chart-box full">
<div class="viz-chart-title"><i class="fas fa-chart-line"></i> Multi-Model Forecast Comparison</div>
<canvas id="forecastChart" height="200"></canvas>
</div>
<div class="viz-chart-box">
<div class="viz-chart-title"><i class="fas fa-ruler"></i> Model Accuracy (MAE)</div>
<canvas id="forecastAccChart" height="180"></canvas>
</div>
<div class="viz-chart-box">
<div class="viz-chart-title"><i class="fas fa-clock"></i> Training Time (s)</div>
<canvas id="forecastTimeChart" height="180"></canvas>
</div>
</div>
</div>
<!-- ML Training -->
<div class="viz-pane" id="pane-ml">
<div class="viz-pane-grid">
<div class="viz-chart-box full">
<div class="viz-chart-title"><i class="fas fa-chart-line"></i> QLoRA Fine-Tuning — Loss & Validation Curves</div>
<canvas id="mlLossChart" height="200"></canvas>
</div>
<div class="viz-chart-box">
<div class="viz-chart-title"><i class="fas fa-memory"></i> VRAM Usage by Batch Size</div>
<canvas id="mlVramChart" height="180"></canvas>
</div>
<div class="viz-chart-box">
<div class="viz-chart-title"><i class="fas fa-bolt"></i> Tokens / Second by Precision</div>
<canvas id="mlThroughputChart" height="180"></canvas>
</div>
</div>
</div>
<!-- Data Profiler -->
<div class="viz-pane" id="pane-profiler">
<div class="viz-pane-grid">
<div class="viz-chart-box">
<div class="viz-chart-title"><i class="fas fa-chart-pie"></i> Column Data Type Distribution</div>
<canvas id="profilerTypeChart" height="180"></canvas>
</div>
<div class="viz-chart-box">
<div class="viz-chart-title"><i class="fas fa-exclamation-triangle"></i> Null / Missing Values by Column (%)</div>
<canvas id="profilerNullChart" height="180"></canvas>
</div>
<div class="viz-chart-box full">
<div class="viz-chart-title"><i class="fas fa-fingerprint"></i> Cardinality & Uniqueness Profile</div>
<canvas id="profilerCardChart" height="120"></canvas>
</div>
</div>
</div>
</div>
</div>
</div>
</section>
<!-- Tech Stack -->
<section class="section-block">
<div class="section-container">
<h2 class="section-title"><span class="title-accent">//</span> Tech Stack</h2>
<p class="section-sub">Tools and frameworks across the full data lifecycle.</p>
<div class="tech-grid">
<div class="tech-item"><i class="fab fa-python"></i>Python 3.14</div>
<div class="tech-item"><i class="fas fa-fire"></i>PyTorch</div>
<div class="tech-item"><i class="fas fa-chart-bar"></i>Plotly</div>
<div class="tech-item"><i class="fas fa-database"></i>DuckDB</div>
<div class="tech-item"><i class="fas fa-stream"></i>Streamlit</div>
<div class="tech-item"><i class="fas fa-project-diagram"></i>HuggingFace</div>
<div class="tech-item"><i class="fas fa-chart-line"></i>Chart.js</div>
<div class="tech-item"><i class="fas fa-network-wired"></i>D3.js</div>
<div class="tech-item"><i class="fas fa-table"></i>Pandas</div>
<div class="tech-item"><i class="fas fa-calculator"></i>NumPy</div>
<div class="tech-item"><i class="fas fa-robot"></i>scikit-learn</div>
<div class="tech-item"><i class="fab fa-docker"></i>Docker</div>
</div>
</div>
</section>
</main>
<footer class="site-footer">
<div class="footer-inner">
<span class="footer-brand"><span class="brand-bracket">[</span>wb<span class="brand-bracket">]</span></span>
<span class="footer-copy">© 2026 Will Bracken</span>
<div class="footer-links">
<a href="https://github.com/brackenw3" target="_blank" rel="noopener noreferrer" aria-label="GitHub"><i class="fab fa-github"></i></a>
</div>
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if(tab==='teams'){
new Chart(document.getElementById('teamsChannelChart'),{...C,
data:{labels:['General','Engineering','Product','Design','QA','Data'],
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new Chart(document.getElementById('teamsNlpChart'),{type:'doughnut',
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if(engEl){
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engWrap.style.cssText='display:flex;flex-direction:column;gap:2px;overflow-x:auto';
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engWrap.appendChild(row);
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// Hour labels
const hlRow=document.createElement('div');
hlRow.style.cssText='display:flex;gap:2px;margin-left:30px';
[0,3,6,9,12,15,18,21].forEach(h=>{
const sp=document.createElement('span');
sp.style.cssText='font-size:.58rem;color:var(--text-muted);font-family:var(--font-mono);width:56px';
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hlRow.appendChild(sp);
});
engWrap.appendChild(hlRow);
engEl.appendChild(engWrap);
}
}else if(tab==='streamlit'){
new Chart(document.getElementById('snowflakeChart'),{...C,
data:{labels:['Simple Select','Aggregation','Multi-Join','Time-Series','Complex ETL'],
datasets:[{label:'Query Time (ms)',data:[42,180,640,1200,3800],backgroundColor:'rgba(0,212,255,.7)',borderRadius:4}]}});
const sprintDays=['D1','D2','D3','D4','D5','D6','D7','D8','D9','D10'];
new Chart(document.getElementById('jiraChart'),{type:'line',
data:{labels:sprintDays,datasets:[{label:'Remaining',data:[42,38,35,28,22,17,12,8,4,0],borderColor:'#00d4ff',backgroundColor:'rgba(0,212,255,.08)',fill:true,tension:0.3,pointRadius:3},{label:'Ideal',data:[42,37,32,27,22,17,12,8,4,0],borderColor:'rgba(255,255,255,.2)',borderDash:[4,4],pointRadius:0}]},
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const cfEl=document.getElementById('confluenceHeatmap');
const cfGrid=document.createElement('div');cfGrid.className='cf-hm-grid';
const cfLevels=['#1a2535','#0a4a6b','#0077aa','#00b4cc','#00d4ff'];
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cfEl.appendChild(cfGrid);
}else if(tab==='forecasting'){
const months=['Jan','Feb','Mar','Apr','May','Jun','Jul','Aug','Sep','Oct','Nov','Dec'];
new Chart(document.getElementById('forecastChart'),{type:'line',
data:{labels:months,datasets:[{label:'Actual',data:[48,52,58,54,61,67,72,70,76,81,79,88],borderColor:'#fff',backgroundColor:'rgba(255,255,255,.05)',fill:false,pointRadius:4,tension:0.3},{label:'ARIMA',data:[null,null,null,null,null,null,null,null,78,82,80,89],borderColor:'#00d4ff',backgroundColor:'rgba(0,212,255,.08)',fill:false,borderDash:[5,3],pointRadius:4},{label:'Prophet',data:[null,null,null,null,null,null,null,null,77,83,81,91],borderColor:'#00e5a0',backgroundColor:'rgba(0,229,160,.08)',fill:false,borderDash:[5,3],pointRadius:4},{label:'LSTM',data:[null,null,null,null,null,null,null,null,79,82,82,90],borderColor:'#F7DF1E',backgroundColor:'rgba(247,223,30,.05)',fill:false,borderDash:[5,3],pointRadius:4}]},
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new Chart(document.getElementById('forecastAccChart'),{...C,
data:{labels:['ARIMA','Prophet','LSTM','XGBoost'],datasets:[{label:'MAE',data:[4.2,3.8,3.1,3.5],backgroundColor:['rgba(0,212,255,.7)','rgba(0,229,160,.7)','rgba(247,223,30,.7)','rgba(204,52,45,.7)'],borderRadius:4}]}});
new Chart(document.getElementById('forecastTimeChart'),{...C,
data:{labels:['ARIMA','Prophet','LSTM','XGBoost'],datasets:[{label:'Train (s)',data:[1.2,8.4,42.8,3.7],backgroundColor:['rgba(0,212,255,.7)','rgba(0,229,160,.7)','rgba(247,223,30,.7)','rgba(204,52,45,.7)'],borderRadius:4}]}});
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const epochs=Array.from({length:20},(_,i)=>`E${i+1}`);
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new Chart(document.getElementById('mlLossChart'),{type:'line',
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new Chart(document.getElementById('mlVramChart'),{type:'bar',
data:{labels:['BS=1','BS=2','BS=4','BS=8','BS=16','BS=32'],
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}
initVizTab('teams');
Chart.defaults.color='#7a8ba0';Chart.defaults.borderColor='rgba(0,212,255,0.08)';
Chart.defaults.font.family='Inter, sans-serif';Chart.defaults.font.size=12;
const skills=[
{name:'Python',pct:92,color:'#3776AB'},
{name:'Machine Learning (PyTorch/HF)',pct:82,color:'#00d4ff'},
{name:'Data Visualization',pct:88,color:'#00e5a0'},
{name:'SQL / DuckDB',pct:85,color:'#F7DF1E'},
{name:'JavaScript / D3.js',pct:80,color:'#F7DF1E'},
{name:'Statistics & Analysis',pct:78,color:'#8892a4'},
{name:'MLOps / Docker',pct:75,color:'#2496ED'},
];
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io.observe(sb);
// Radar chart
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type:'radar',
data:{
labels:['Python','ML/AI','Visualization','SQL/Data','JavaScript','Statistics','MLOps'],
datasets:[{
label:'Proficiency',
data:[92,82,88,85,80,78,75],
backgroundColor:'rgba(0,212,255,.12)',
borderColor:'#00d4ff',
pointBackgroundColor:'#00d4ff',
pointBorderColor:'#111827',
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plugins:{legend:{display:false}},
animation:{duration:900}
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</script>
<script src="assets/js/portfolio.js"></script>
<script src="assets/js/ai-assistant.js"></script>
<script src="assets/js/demo-drawer.js"></script>
</body>
</html>