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vixlet.html
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<h2 class="title-wrap-tit" style=" margin-top: 100px;">Vixlet</h2>
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<span class="article-meta-unit article-meta-date">ON August 1, 2016</span>
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<p class="lorem_ipsum_paragraph"><span class="dropcap">D</span>uring the last year of my engineering, I along with my project members, <a href="https://www.linkedin.com/in/aditya-kaustubhan/" target="_blank">Aditya Kaustubhan</a> & <a href="https://www.linkedin.com/in/yudhveer-singh/" target="_blank">Yudhveer Singh</a>, were selected by a Los Angeles-based company, Vixlet, to develop a business analytics dashboard.</p><br>
<p>Empowering the next generation of fans of experiences, Vixlet is a social network that connects people around their passions. Vixlet delivers unprecedented engagement across all channels with the sports teams, artists and brands that fans love; through proprietary technology, official brand partnerships, and exclusive content and campaigns. Transcending age, gender, socio-economics and geography, passion for sport, music, art, and culture is what brings Vixlet users together. </p><br>
<p>Vixlet develops and operates for social networking applications linked to sports leagues, teams, and entertainment companies, namely, Slipknot, MLB, ATP, and LFC Xtra.</p><br>
<p>The roaring success of their applications lead to an expansive collection of data, and using all that unstructured data to make decision became a challenge.. So there was a requirement of dashboard, that could help not just visualize the plethora of data collected but also perform predictive analysis of the training data. This data was essentially used to understand and improve the user experience of fans. I have also written an article about - <a href="https://medium.com/@syskaul/the-romance-of-data-and-design-ca203e87478a" target="_blank">The Romance of Data & Design.</a> </p><br>
<p>Under the guidance of <a href="https://www.linkedin.com/in/pguptasloan/" target="_blank">Pawan Gupta</a> (who was the Mobile Engineering Lead at Vixlet), me and my team were able to develop a robust platform for their team. During this project, we were also able to publish a technical paper in <a href="http://www.ijoart.org" target="_blank">IJOART</a> titled - <a href="/files/vixlet-paper.pdf" target="_blank">Google Play Store Review: Mining Application Store to interpret User Experience, the relationship between Business and Technical
Characteristics through Sentimental Analysis.</a> You can find the complete overview of the project in this presentation.
</p><br>
<h4>Problem 1:</h4>
<p>It is of prime importance for a social media company to find patterns in user-interactions and succeed in the cutthroat social media environment. Here we used the Apriori Algorithm to predict insights from the data.</p><br>
<h4>Problem 2:</h4>
<p>Analyzing the customer feedback is also importante. This requires intensive analysis of the reviews received of the application. For this part of the problem, we developed a module to access Google Play Store Reviews using N-Gram version of the Random Forest Algorithm.</p><br>
<p><em>"Every Business can benefit from becoming more analytical- understanding its customers, performing its operations, and making its decisions. But even the most analytically oriented company needs to target its analytical efforts where they will do the most good."</em></p><br>
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<p style="text-align: center;"><a href="https://www.slideshare.net/secret/wks80e1vxjyOX3" title="Vixlet" class="gallery-link-a" target="_blank">Project Presentation</a></p>
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