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@@ -232,22 +232,18 @@ <h3>4. IMDb Top 250 Indian Movies (Python + Power BI)</h3>
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<div class="project-card">
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<h3>5. Indian TV Serial Broadcast Analysis (Python + Power BI)</h3>
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<p>I performed analysis of 353+ Indian TV Serials (1889–2025) using Python with K-Means clustering (Unsupervised Learning) to identify patterns across networks, languages, and genres. Designed an interactive Power BI dashboard with KPIs, filters, and trend analysis.</p>
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<a class="project-link" href="https://github.com/niravtrivedi23/Indian-tv-serials-analytics" target="_blank">View Project</a>
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<img src="https://github.com/niravtrivedi23/Indian-tv-serials-analytics/blob/main/TV%20Serial%20Dashboard.png" alt="TV Serial Dashboard" />
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</div>
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<h3>5. Indian TV Serial Broadcast Analysis (Python + Power BI)</h3>
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<p> I performed analysis of 353+ Indian TV Serials (1889–2025) using Python with K-Means clustering (Unsupervised Learning) to identify patterns across networks, languages, and genres. Designed an interactive Power BI dashboard with KPIs, filters, and trend analysis.</p>
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<a class="project-link" href="https://github.com/niravtrivedi23/Indian-tv-serials-analytics" target="_blank">View Project</a>
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<img src="https://github.com/niravtrivedi23/Indian-tv-serials-analytics/raw/main/TV%20Serial%20Dashboard.png" alt="TV Serial Dashboard" />
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</div>
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<div class="project-card">
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<h3>6. Global Web Series Analysis Dashboard (Power BI)</h3>
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<p>
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This interactive Power BI dashboard analyzes 3,400+ web series released between 2000–2024 across 42 countries and 96 industries.
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It highlights OTT trends, global release patterns, top-rated shows, language contributions (English, Hindi, Japanese), and audience preferences with 70M+ votes.
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A must-see project for exploring OTT analytics and global web series insights.
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</p>
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<a class="project-link" href="https://github.com/niravtrivedi23/global-web-series-analysis" target="_blank">View Project</a>
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<img src="https://github.com/niravtrivedi23/global-web-series-analysis/blob/main/Web%20Series%20Dashboard%20.png" alt="Global Web Series Dashboard" />
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</div>
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<div class="project-card">
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<h3>6. Global Web Series Analysis Dashboard (Power BI)</h3>
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<p>This interactive Power BI dashboard analyzes 3,400+ web series released between 2000–2024 across 42 countries and 96 industries.It highlights OTT trends, global release patterns, top-rated shows, language contributions (English, Hindi, Japanese),and audience preferences with 70M+ votes. A must-see project for exploring OTT analytics and global web series insights.</p>
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<a class="project-link" href="https://github.com/niravtrivedi23/global-web-series-analysis" target="_blank">View Project</a>
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<img src="https://github.com/niravtrivedi23/global-web-series-analysis/raw/main/Web%20Series%20Dashboard%20.png" alt="Global Web Series Dashboard" />
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</div>
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