niravtrivedi23.github.io/index.html at main · niravtrivedi23/niravtrivedi23.github.io · GitHub

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  <title>Nirav Trivedi | Data Analyst Portfolio</title>
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<body>

  <header>
    <div class="header-flex">
      <div class="header-left">
        <h1> Nirav Trivedi</h1>
        <p> 🎯Data Analyst |  📊Python • Power BI • Excel • SQL</p>
        <p style="margin-top: 16px;">
          <a class="social-link" href="https://www.linkedin.com/in/trivedi-nirav-a1760424b/" target="_blank">LinkedIn</a><br/>
          <a class="social-link" href="https://github.com/niravtrivedi23" target="_blank">GitHub</a>
        </p>
      </div>
      <div class="header-right">
        <img src="https://raw.githubusercontent.com/niravtrivedi23/niravtrivedi23.github.io/main/Profile.jpeg" alt="Nirav Trivedi">
      </div>
    </div>
  </header>

  <div class="container">
    <h2>📊 Highlighted Projects</h2>

    <div class="project-card">
      <h3>1. IPL Dashboard (Power BI)</h3>
      <p>I built an interactive IPL dashboard using Python and Streamlit, which allows users to analyze player performance, team stats, and match outcomes through filters and visual insights.</p>
      <a class="project-link" href="https://github.com/niravtrivedi23/IPL-Dashboard" target="_blank"> View Project</a>
      <img src="https://raw.githubusercontent.com/niravtrivedi23/IPL-Dashboard/main/IPL%20Dashboard.png" alt="IPL Dashboard Preview" />
    </div>

    <div class="project-card">
      <h3>2. Mutual Fund Analysis (Python + Power BI + Excel)</h3>
      <p>This project analyzes Indian mutual fund performance to identify low-risk, high-confidence investment options using Python data analysis and Power BI visual dashboards.</p>
      <a class="project-link" href="https://github.com/niravtrivedi23/mutual-fund-analysis-Dashboard-Python-PowerBI" target="_blank"> View Project</a>
      <img src="https://raw.githubusercontent.com/niravtrivedi23/mutual-fund-analysis-Dashboard-Python-PowerBI/main/Mutual%20Fund%20Dashboard%20.png" alt="Mutual Fund Dashboard" />
    </div>

    <div class="project-card">
      <h3>3. Tapi River Sustainability (Google Earth Engine + Python + Excel)</h3>
      <p>This academic project assesses the sustainability of Surat’s Tapi River using satellite data from 1987 to 2023, focusing on turbidity trends and cumulative width changes over the years.</p>
      <a class="project-link" href="https://github.com/niravtrivedi23/Surat-Tapiriver-Analysis-GEE" target="_blank"> View Project</a>
      <div class="gif-pair">
        <div class="gif-box">
          <p><strong>Turbidity of Tapi River (2019–2023)</strong></p>
          <img src="https://raw.githubusercontent.com/niravtrivedi23/Surat-Tapiriver-Analysis-GEE/main/Visualization/ndtI_VISUALIZATION_2.gif" alt="Tapi Turbidity GIF" />
        </div>
        <div class="gif-box">
          <p><strong>Changes in Tapi River Width (1987–2023)</strong></p>
          <img src="https://raw.githubusercontent.com/niravtrivedi23/Surat-Tapiriver-Analysis-GEE/main/Visualization/cumalative_Width_gif.gif" alt="Tapi Width GIF" />
        </div>
      </div>
    </div>

    <div class="project-card">
      <h3>4. IMDb Top 250 Indian Movies (Python + Power BI)</h3>
      <p>This project explores the IMDb Top 250 Indian movies dataset, analyzing top directors, genre distribution, review trends, and award-winning titles using Python and Power BI.</p>
      <a class="project-link" href="https://github.com/niravtrivedi23/Indian-Movie-Analysis_-IMDb" target="_blank">View Project</a>
      <img src="https://raw.githubusercontent.com/niravtrivedi23/Indian-Movie-Analysis_-IMDb/main/IMDb%20Movie%20Dashboard.png" alt="IMDb Dashboard" />
    </div>

     <div class="project-card">
       <h3>5. Indian TV Serial Broadcast Analysis (Python + Power BI)</h3>
       <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>
       <a class="project-link" href="https://github.com/niravtrivedi23/Indian-tv-serials-analytics" target="_blank">View Project</a>
       <img src="https://github.com/niravtrivedi23/Indian-tv-serials-analytics/raw/main/TV%20Serial%20Dashboard.png" alt="TV Serial Dashboard" />
     </div>

     <div class="project-card">
       <h3>6. Global Web Series Analysis Dashboard (Power BI)</h3>
       <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>
       <a class="project-link" href="https://github.com/niravtrivedi23/global-web-series-analysis" target="_blank">View Project</a>
       <img src="https://github.com/niravtrivedi23/global-web-series-analysis/raw/main/Web%20Series%20Dashboard%20.png" alt="Global Web Series Dashboard" />
     </div>

    <div class="project-card">
      <h3>7. Market Product Demand Analysis – Regional Performance (Python + Power BI)</h3>
      <p>This project analyzes state-wise product demand across India using Python-based exploratory analysis and K-Means clustering to identify regional consumption behavior and high-potential markets.The analytical results were translated into a Power BI dashboard that enables clear state-wise comparisons, product category contribution analysis, and supports data-driven inventory and regional planning decisions.</p>
      <a class="project-link" href="https://github.com/niravtrivedi23/Market-Product-Demand-Analysis" target="_blank">View Project</a>
      <img src="https://raw.githubusercontent.com/niravtrivedi23/Market-Product-Demand-Analysis/main/Product%20Based%20Dashboard.png" alt="Market Product Demand Dashboard" />
    </div>


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