<html xmlns:v="urn:schemas-microsoft-com:vml" xmlns:o="urn:schemas-microsoft-com:office:office" xmlns:w="urn:schemas-microsoft-com:office:word" xmlns:m="http://schemas.microsoft.com/office/2004/12/omml" xmlns="http://www.w3.org/TR/REC-html40">
<head>
<meta http-equiv="Content-Type" content="text/html; charset=us-ascii">
<meta name="Generator" content="Microsoft Word 15 (filtered medium)">
<style><!--
/* Font Definitions */
@font-face
        {font-family:"Cambria Math";
        panose-1:2 4 5 3 5 4 6 3 2 4;}
@font-face
        {font-family:Calibri;
        panose-1:2 15 5 2 2 2 4 3 2 4;}
/* Style Definitions */
p.MsoNormal, li.MsoNormal, div.MsoNormal
        {margin-top:0in;
        margin-right:0in;
        margin-bottom:10.0pt;
        margin-left:0in;
        text-align:justify;
        line-height:115%;
        font-size:10.0pt;
        font-family:"Calibri",sans-serif;}
h1
        {mso-style-priority:9;
        mso-style-link:"Heading 1 Char";
        margin-top:15.0pt;
        margin-right:0in;
        margin-bottom:2.0pt;
        margin-left:0in;
        line-height:115%;
        font-size:16.0pt;
        font-family:"Calibri",sans-serif;
        font-variant:small-caps;
        letter-spacing:.25pt;
        font-weight:normal;}
h2
        {mso-style-priority:9;
        mso-style-link:"Heading 2 Char";
        margin-top:12.0pt;
        margin-right:0in;
        margin-bottom:4.0pt;
        margin-left:0in;
        line-height:115%;
        font-size:14.0pt;
        font-family:"Calibri",sans-serif;
        font-variant:small-caps;
        letter-spacing:.25pt;
        font-weight:normal;}
p.MsoNoSpacing, li.MsoNoSpacing, div.MsoNoSpacing
        {mso-style-priority:1;
        mso-style-link:"No Spacing Char";
        margin:0in;
        text-align:justify;
        font-size:11.0pt;
        font-family:"Calibri",sans-serif;
        mso-ligatures:standardcontextual;}
span.EmailStyle17
        {mso-style-type:personal-compose;
        font-family:"Calibri",sans-serif;
        color:windowtext;}
span.Heading1Char
        {mso-style-name:"Heading 1 Char";
        mso-style-priority:9;
        mso-style-link:"Heading 1";
        font-family:"Times New Roman",serif;
        font-variant:small-caps;
        letter-spacing:.25pt;
        mso-ligatures:none;}
span.Heading2Char
        {mso-style-name:"Heading 2 Char";
        mso-style-priority:9;
        mso-style-link:"Heading 2";
        font-family:"Times New Roman",serif;
        font-variant:small-caps;
        letter-spacing:.25pt;
        mso-ligatures:none;}
span.NoSpacingChar
        {mso-style-name:"No Spacing Char";
        mso-style-priority:1;
        mso-style-link:"No Spacing";}
.MsoChpDefault
        {mso-style-type:export-only;
        font-family:"Calibri",sans-serif;
        mso-ligatures:standardcontextual;}
@page WordSection1
        {size:8.5in 11.0in;
        margin:1.0in 1.0in 1.0in 1.0in;}
div.WordSection1
        {page:WordSection1;}
--></style><!--[if gte mso 9]><xml>
<o:shapedefaults v:ext="edit" spidmax="1026" />
</xml><![endif]--><!--[if gte mso 9]><xml>
<o:shapelayout v:ext="edit">
<o:idmap v:ext="edit" data="1" />
</o:shapelayout></xml><![endif]-->
</head>
<body lang="EN-US" link="#0563C1" vlink="#954F72" style="word-wrap:break-word">
<div class="WordSection1">
<p class="MsoNormal"><span style="font-size:14.0pt;line-height:115%">Here are some internships in data analytics at a local consultancy. Knowing Carl McQueen, we believe that these could be good opportunities for students interested in data wrangling, machine
learning, and analytics.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:14.0pt;line-height:115%">keith<o:p></o:p></span></p>
<div style="mso-element:para-border-div;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 0in 1.0pt 0in">
<p class="MsoNormal" style="border:none;padding:0in"><span style="font-size:14.0pt;line-height:115%"><o:p> </o:p></span></p>
</div>
<p class="MsoNormal"><span style="font-size:14.0pt;line-height:115%">McQueen Analytics was started in 2020 by Carl McQueen, a seasoned data scientist with over 10 years of experience in data engineering and applied business analytics.
<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:14.0pt;line-height:115%">McQueen Analytics expertise comes from our high-quality components that have been developed by a team of experienced professionals. In 2021, Josh McQueen, a former EVP and board member at
Leo Burnett, joined the team to help further expand our offerings to non-profits, political organizations, and cause-based campaigns. Abbey Stingley, a Chemical Engineering graduate of Calvin University, joined the team in May of 2022 and manages the analytics
web-app that McQueen Analytics uses to provide visual representation of the data they collect weekly for their clients.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:14.0pt;line-height:115%">McQueen Analytics clients include a major current marketing campaign, cause-based non-profits trying to understand their brand, educational clients, and an ongoing TV series in the faith space.
<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:14.0pt;line-height:115%">We are based in downtown Grand Rapids in the Trust Building on Pearl St and work Monday to Friday 8-5. Our goal is to provide non-profits and small companies with the same tool base that fortune
100 companies have which help them make data-driven decisions and grow their businesses.</span><o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<b><span style="font-size:10.0pt;line-height:115%;font-family:"Calibri",sans-serif;mso-ligatures:none;mso-fareast-language:EN-US"><br clear="all" style="page-break-before:always">
</span></b>
<p class="MsoNormal"><b><o:p> </o:p></b></p>
<h1>Opportunity One:<o:p></o:p></h1>
<p class="MsoNormal"><o:p> </o:p></p>
<h2>Data Modeling Internship - "He Gets Us" Campaign<o:p></o:p></h2>
<p class="MsoNormal"><span style="font-size:14.0pt;line-height:115%"><o:p> </o:p></span></p>
<p class="MsoNoSpacing"><span style="font-size:12.0pt">Description: <o:p></o:p></span></p>
<p class="MsoNoSpacing"><span style="font-size:12.0pt">We are seeking a talented data modeling intern to join our team and work on the "He Gets Us" campaign. As part of this internship, you will be creating a linear or non-linear model to predict or best explain
the four primary goals of the campaign, using data from a dataset of 25,000 people interviewed over 9 months. Your final project will be a presentation of your model, including insights and predictions for the campaign. In addition, you will have the opportunity
to observe survey creation in a weekly tracking study, learn about brand research and analysis for different types of clients, and work downtown in Grand Rapids alongside two of the team members. This internship is ideal for an undergraduate student interested
in marketing, data analytics, or statistics.<o:p></o:p></span></p>
<p class="MsoNoSpacing"><span style="font-size:12.0pt"><o:p> </o:p></span></p>
<p class="MsoNoSpacing"><span style="font-size:12.0pt">Requirements:<o:p></o:p></span></p>
<p class="MsoNoSpacing"><span style="font-size:12.0pt">- Experience in data modeling or statistics<o:p></o:p></span></p>
<p class="MsoNoSpacing"><span style="font-size:12.0pt">- Familiarity with data analysis tools such as R<o:p></o:p></span></p>
<p class="MsoNoSpacing"><span style="font-size:12.0pt">- Strong communication and problem-solving skills<o:p></o:p></span></p>
<p class="MsoNormal"><o:p> </o:p></p>
<b><span style="font-size:10.0pt;line-height:115%;font-family:"Calibri",sans-serif;mso-ligatures:none;mso-fareast-language:EN-US"><br clear="all" style="page-break-before:always">
</span></b>
<p class="MsoNormal"><b><o:p> </o:p></b></p>
<h1>Opportunity Two:<o:p></o:p></h1>
<p class="MsoNormal"><o:p> </o:p></p>
<h2>Ad Analytics Internship - McQueen Analytics<o:p></o:p></h2>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNoSpacing"><span style="font-size:12.0pt">Description: <o:p></o:p></span></p>
<p class="MsoNoSpacing"><span style="font-size:12.0pt">McQueen Analytics is seeking a talented ad analytics intern to join our team. As part of this internship, you will be analyzing data from a battery of questions asked in 2022 from March to December. Your
final project will be a presentation of your analysis, including insights on which ads did the best, which were relevant to different markets and populations, and recommendations for which ads should be used in different digital spaces. In addition, you will
have the opportunity to observe survey creation in a weekly tracking study, learn about brand research and analysis for different types of clients, and work downtown in Grand Rapids alongside two of the team members. This internship is ideal for an undergraduate
student interested in marketing, data analytics, or advertising.<o:p></o:p></span></p>
<p class="MsoNoSpacing"><span style="font-size:12.0pt"><o:p> </o:p></span></p>
<p class="MsoNoSpacing"><span style="font-size:12.0pt">Requirements:<o:p></o:p></span></p>
<p class="MsoNoSpacing"><span style="font-size:12.0pt">- Experience in data analysis or statistics<o:p></o:p></span></p>
<p class="MsoNoSpacing"><span style="font-size:12.0pt">- Familiarity with data analysis tools such as R
<o:p></o:p></span></p>
<p class="MsoNoSpacing"><span style="font-size:12.0pt">- Strong communication and problem-solving skills<o:p></o:p></span></p>
<p class="MsoNormal"><o:p> </o:p></p>
<b><span style="font-size:10.0pt;line-height:115%;font-family:"Calibri",sans-serif;mso-ligatures:none;mso-fareast-language:EN-US"><br clear="all" style="page-break-before:always">
</span></b>
<p class="MsoNormal"><b><o:p> </o:p></b></p>
<h1>Opportunity Three:<o:p></o:p></h1>
<p class="MsoNormal"><o:p> </o:p></p>
<h2>Survey Improvement Internship - McQueen Analytics<o:p></o:p></h2>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNoSpacing"><span style="font-size:12.0pt">Description: <o:p></o:p></span></p>
<p class="MsoNoSpacing"><span style="font-size:12.0pt">McQueen Analytics is seeking a talented survey improvement intern to join our team. As part of this internship, you will be exploring methods to detect responses that are not intellectually honest without
wasting questions trying to draw out lack of attention and looking at survey timing. Your final project will be a presentation of your analysis, including insights on the methodology improvements for different clients such as political think tanks, non-profits,
universities, and advertising campaigns. In addition, you will have the opportunity to observe a small business of three people and how we tackle problems with limited resources, learn about brand research and analysis for different types of clients, and work
downtown in Grand Rapids alongside two of the team members. This internship is ideal for an undergraduate student interested in marketing, data analytics, or survey research.<o:p></o:p></span></p>
<p class="MsoNoSpacing"><span style="font-size:12.0pt"><o:p> </o:p></span></p>
<p class="MsoNoSpacing"><span style="font-size:12.0pt">Requirements:<o:p></o:p></span></p>
<p class="MsoNoSpacing"><span style="font-size:12.0pt">- Experience in survey research or data analysis<o:p></o:p></span></p>
<p class="MsoNoSpacing"><span style="font-size:12.0pt">- Familiarity with data analysis tools such as R
<o:p></o:p></span></p>
<p class="MsoNoSpacing"><span style="font-size:12.0pt">- Strong communication and problem-solving skills<o:p></o:p></span></p>
<p class="MsoNormal"><o:p> </o:p></p>
<b><span style="font-size:10.0pt;line-height:115%;font-family:"Calibri",sans-serif;mso-ligatures:none;mso-fareast-language:EN-US"><br clear="all" style="page-break-before:always">
</span></b>
<p class="MsoNormal"><b><o:p> </o:p></b></p>
<h1>Opportunity Four:<o:p></o:p></h1>
<p class="MsoNormal"><o:p> </o:p></p>
<h2>Multi-Model Training Internship - McQueen Analytics<o:p></o:p></h2>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNoSpacing"><span style="font-size:12.0pt">Description: <o:p></o:p></span></p>
<p class="MsoNoSpacing"><span style="font-size:12.0pt">McQueen Analytics is seeking a talented multi-model training intern to join our team. As part of this internship, you will be working on different datasets with a goal of finding the best way to solve for
answers like age-related interest among other interesting relationships. Your final project will be a presentation of your analysis, including insights on the natural relationships and when to use different models. In addition, you will have the opportunity
to observe survey creation in a weekly tracking study, learn about brand research and analysis for different types of clients, and work downtown in Grand Rapids alongside two of the team members. This internship is ideal for an undergraduate student interested
in data analytics, statistics, or machine learning.<o:p></o:p></span></p>
<p class="MsoNoSpacing"><span style="font-size:12.0pt"><o:p> </o:p></span></p>
<p class="MsoNoSpacing"><span style="font-size:12.0pt">Requirements:<o:p></o:p></span></p>
<p class="MsoNoSpacing"><span style="font-size:12.0pt"><o:p> </o:p></span></p>
<p class="MsoNoSpacing"><span style="font-size:12.0pt">Experience in data analysis or statistics<o:p></o:p></span></p>
<p class="MsoNoSpacing"><span style="font-size:12.0pt">Familiarity with data analysis tools such as R<o:p></o:p></span></p>
<p class="MsoNoSpacing"><span style="font-size:12.0pt">Strong communication and problem-solving skills<o:p></o:p></span></p>
<p class="MsoNormal"><o:p> </o:p></p>
</div>
</body>
</html>