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<!DOCTYPE HTML>
<!--
Massively by HTML5 UP
html5up.net | @ajlkn
Free for personal and commercial use under the CCA 3.0 license (html5up.net/license)
-->
<html>
<head>
<title>Aishat Alli</title>
<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1, user-scalable=no" />
<link rel="stylesheet" href="assets/css/main.css" />
<noscript><link rel="stylesheet" href="assets/css/noscript.css" /></noscript>
</head>
<body class="is-preload">
<!-- Wrapper -->
<div id="wrapper" class="fade-in">
<!-- Intro -->
<div id="intro">
<h1>Aishat Alli<br />
Portfolio</h1>
<p>Ethical and process oriented data analyst, possesses a strong analytical mindset and a deep understanding of data manipulation and interpretation. Proficient in using Excel, PowerBI, Tableau, R, Python and SQL. <br />
Employs statistical methods and data modelling to identify patterns, trends to make strategic data driven decision.</p>
<ul class="actions">
<li><a href="#header" class="button icon solid solo fa-arrow-down scrolly">Continue</a></li>
</ul>
</div>
<!-- Header -->
<header id="header">
<a href="index.html" class="logo">Aishat Alli</a>
</header>
<!-- Nav -->
<nav id="nav">
<ul class="links">
<li class="active"><a href="index.html">Projects</a></li>
<li><a href="https://bit.ly/42X0TwZ">Resume</a></li>
</ul>
<ul class="icons">
<li><a href="https://www.linkedin.com/in/aishat-alli-84609a157/" class="icon brands fa-linkedin"><span class="label">LinkedIn</span></a></li>
<li><a href="https://github.com/kemiscut" class="icon brands fa-github"><span class="label">GitHub</span></a></li>
</ul>
</nav>
<!-- Main -->
<div id="main">
<!-- Featured Post -->
<article class="post featured">
<header class="major">
<h2><a href="https://github.com/kemiscut/Sprocket-target-marketing-analysis">Target Marketing Analysis</a></h2>
<p>Cleaned and transformed Sprocket customer data using PowerBI to gain insights on resource allocation for targeted
marketing. Analyzed existing customer databases to determine customer trends and behaviors.<br />
Recommended potential customers to be targeted for upcoming campaigns.</p>
</header>
<a href="https://github.com/kemiscut/Sprocket-target-marketing-analysis" class="image main"><img src="images/sprocket_central_logo.png" alt="" /></a>
<ul class="actions special">
<li><a href="https://github.com/kemiscut/Sprocket-target-marketing-analysis" class="button large">View Project</a></li>
</ul>
</article>
<!-- Posts -->
<section class="posts">
<article>
<header>
<h2><a href="https://github.com/kemiscut/TECA-Data-Analysis">TECA Data Analysis</a></h2>
</header>
<a href="https://github.com/kemiscut/TECA-Data-Analysis" class="image fit"><img src="images/convenience_store.jpg" alt="" /></a>
<p>Created a dashboard with PowerBI to help a client compare between summer and winter sales. Transformed and processed client’s data using DAX and Excel to ensure data completeness and validity.
Provided technical insights on top most sold products with high profit margin and also complementary products consumers
often purchase together.</p>
<ul class="actions special">
<li><a href="https://github.com/kemiscut/TECA-Data-Analysis" class="button">View Project</a></li>
</ul>
</article>
<article>
<header>
<h2><a href="https://github.com/kemiscut/WebSearch-Study">Web Search study<br />
</a></h2>
</header>
<a href="https://github.com/kemiscut/WebSearch-Study" class="image fit"><img src="images/websearch_study.png" alt="" /></a>
<p>Utilized R studio to perform statistical analysis on a study in which participants were asked to find distinct facts using
different search engines. Visualized effort and frequency of how search engines were used using histograms and box plot. Performed post hoc pairwise comparisons of efforts among levels of search engines using Holm’s sequential Bonferroni
procedure.</p>
<ul class="actions special">
<li><a href="https://github.com/kemiscut/WebSearch-Study" class="button">View Project</a></li>
</ul>
</article>
<article>
<header>
<h2><a href="https://github.com/kemiscut/Inu-Neko-Exploratory-Analysis-">Inu + Neko Exploratory Analysis</a></h2>
</header>
<a href="https://github.com/kemiscut/Inu-Neko-Exploratory-Analysis-" class="image fit"><img src="images/inu_neko.png" alt="" /></a>
<p>Conducted a comprehensive analysis of Inu + Neko marketing campaign's impact using Python. Tracked and measured the success of the campaign using key metrics like number of orders, revenue generated, product preferences, most popular products and numbers of new customers. </p>
<ul class="actions special">
<li><a href="https://github.com/kemiscut/Inu-Neko-Exploratory-Analysis-" class="button">View Project</a></li>
</ul>
</article>
<article>
<header>
<h2><a href="https://public.tableau.com/app/profile/aishat2600">Trends in Smart Device Usage </a></h2>
</header>
<a href="https://public.tableau.com/app/profile/aishat2600" class="image fit"><img src="images/olivia_culpo.png" alt="" /></a>
<p>Identified key trends in smart device usage through comprehensive data analysis with Tableau. Analyzed frequency, duration of device usage, calories burnt and sleep patterns to provide insighst into user engagement and retention, allowing Bellabeat to optimize their customer experience.</p>
<ul class="actions special">
<li><a href="https://public.tableau.com/app/profile/aishat2600" class="button">View Project</a></li>
</ul>
</article>
<article>
<header>
<h2><a href="https://github.com/kemiscut/Data-profiling-and-analysis-with-sql-">Data Profiling and Analysis with SQL</a></h2>
</header>
<a href="https://github.com/kemiscut/Data-profiling-and-analysis-with-sql-" class="image fit"><img src="images/yelp.png" alt="" /></a>
<p>Performed descriptive analysis on a dataset from a US organization called Yelp, which provides a platform for users
to provide reviews and rate their interactions with varieties of businesses and organizations. Transformed and filtered data using aggregating and filtering functions. Utilized SQL to analyze reviews given by users.</p>
<ul class="actions special">
<li><a href="https://github.com/kemiscut/Data-profiling-and-analysis-with-sql-" class="button">View Project</a></li>
</ul>
</article>
<article>
<header>
<h2><a href="https://github.com/kemiscut/Statistical_Analysis">Statistical Analysis to determine a more effective Ad campaign</a></h2>
</header>
<a href="https://github.com/kemiscut/Statistical_Analysis" class="image fit"><img src="images/ad_campaign.png" alt="" /></a>
<p>Used Excel to create histograms for clicks and conversions data to determine the data distribution. Performed hypothesis and A/B testing to determine statistical difference between the two ad campaigns. Applied a simple linear regression model to predict ad conversions given a certain number of ad clicks.</p>
<ul class="actions special">
<li><a href="https://github.com/kemiscut/Statistical_Analysis" class="button">View Project</a></li>
</ul>
</article>
</section>
</div>
<!-- Footer -->
<footer id="footer">
<section>
<form method="post" action="#">
<div class="fields">
<div class="field">
<label for="name">Name</label>
<input type="text" name="name" id="name" />
</div>
<div class="field">
<label for="email">Email</label>
<input type="text" name="email" id="email" />
</div>
<div class="field">
<label for="message">Message</label>
<textarea name="message" id="message" rows="3"></textarea>
</div>
</div>
<ul class="actions">
<li><input type="submit" value="Send Message" /></li>
</ul>
</form>
</section>
<section class="split contact">
<section class="alt">
<h3>Address</h3>
<p>Mejerigatan 2 , Goteborg<br />
Sweden</p>
</section>
<section>
<h3>Email</h3>
<p><a href="#">alliaishat@outlook.com</a></p>
</section>
<section>
<h3>Social</h3>
<ul class="icons alt">
<li><a href="https://www.linkedin.com/in/aishat-alli-84609a157/" class="icon brands alt fa-linkedin"><span class="label">LinkedIn</span></a></li>
<li><a href="https://github.com/kemiscut" class="icon brands alt fa-github"><span class="label">GitHub</span></a></li>
</ul>
</section>
</section>
</footer>
<!-- Copyright -->
<div id="copyright">
<ul><li>© Untitled</li><li>Design: <a href="https://html5up.net">HTML5 UP</a></li></ul>
</div>
</div>
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<script src="assets/js/jquery.min.js"></script>
<script src="assets/js/jquery.scrollex.min.js"></script>
<script src="assets/js/jquery.scrolly.min.js"></script>
<script src="assets/js/browser.min.js"></script>
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