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Update index.html
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saikumarenjamuri authored Sep 20, 2024
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Expand Up @@ -475,12 +475,12 @@ <h3 class="heading"><a href="https://github.com/saikumarenjamuri/E-Commerce-Sale
<div class="row d-flex justify-content-center">
<div class="col-md-4 d-flex ftco-animate">
<div class="blog-entry justify-content-end">
<a href="https://github.com/saikumarenjamuri/SQL-PROJECTS" class="block-20 zoom-effect" style="background-image: url('images/sql.png');">
<a href="https://github.com/saikumarenjamuri/SQL-PROJECTS" class="block-20 zoom-effect" style="background-image: url('images/Mysql.png');">
</a>
<div class="text mt-3 float-right d-block">

<h3 class="heading"><a href="https://github.com/saikumarenjamuri/SQL-PROJECTS"> Projects Using Mysql </a></h3>
<p>Successfully prepared an interactive dashboard on SuperStore data focusing on profit and sales analysys.</p>
<!-- <p>Successfully prepared an interactive dashboard on SuperStore data focusing on profit and sales analysys.</p>-->
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Expand All @@ -491,7 +491,7 @@ <h3 class="heading"><a href="https://github.com/saikumarenjamuri/SQL-PROJECTS">
<div class="text mt-3 float-right d-block">

<h3 class="heading"><a href="https://github.com/saikumarenjamuri/EXCEL-PROJECTS">Projects Using Excel</a></h3>
<p> Conducted an in-depth analysis of the Weather dataset to explore factors impacting the Temperature of Szeged, Hungary. Utilized Linear Regression in Python to derive valuable insights and correlations. .</p>
<!--<p> Conducted an in-depth analysis of the Weather dataset to explore factors impacting the Temperature of Szeged, Hungary. Utilized Linear Regression in Python to derive valuable insights and correlations. .</p>-->
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Expand All @@ -502,7 +502,7 @@ <h3 class="heading"><a href="https://github.com/saikumarenjamuri/EXCEL-PROJECTS"
<div class="text mt-3 float-right d-block">

<h3 class="heading"><a href="https://github.com/saikumarenjamuri/POWER-BI-PROJECTS">Projects Using Power BI</a></h3>
<p>Predicted customer behaviour to identify which customers are more likely to purchase Ads..</p>
<!--<p>Predicted customer behaviour to identify which customers are more likely to purchase Ads..</p>-->

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