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@@ -96,7 +96,7 @@ <h2>Freshman at UC Berkeley excited by web development, <br> data science, and s
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-		<p>Hi there! I'm Jessica, a freshman at Cal studying Electrical Engineering and Computer Science. Besides being a croissant lover and hiker, I'm also a huge tech enthusiast: I enjoy designing and developing websites, experimenting with machine learning projects, and using technology and data for social impact. I'm currently developing my first iOS application as a member of <a href="http://mobiledevsberkeley.org/">Mobile Developers of Berkeley</a> and starting my second semester of consulting for <a href="http://bc.berkeley.edu">Berkeley Consulting</a>. Last semester I worked as a research apprentice for <a href="http://hackingmeasurement.berkeley.edu/projects/the-carpool-project.html">The Carpool Project</a> at the Berkeley Institute for Data Science and finished a winter internship at Coherus BioSciences performing statistical data analysis for their drug product manufacturing processes.
+		<p>Hi there! I'm Jessica, a sophomore at UC Berkeley studying Electrical Engineering and Computer Science. Besides being a croissant lover and hiker, I'm also a huge tech enthusiast: I enjoy designing and developing websites, experimenting with machine learning projects, and using technology and data for social impact. I'm currently developing my first iOS application as a member of <a href="http://mobiledevsberkeley.org/">Mobile Developers of Berkeley</a> and starting my second semester of consulting for <a href="http://bc.berkeley.edu">Berkeley Consulting</a>. Last semester I worked as a research apprentice for <a href="http://hackingmeasurement.berkeley.edu/projects/the-carpool-project.html">The Carpool Project</a> at the Berkeley Institute for Data Science and finished a winter internship at Coherus BioSciences performing statistical data analysis for their drug product manufacturing processes.
 
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@@ -121,15 +121,15 @@ <h2>Freshman at UC Berkeley excited by web development, <br> data science, and s
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-							<h4>NERD HERD WEB APP</h4>
-							<div class="description">Created a tutor location service with my CalHacks team using Elastic Search, Google Maps API, HTML/CSS, JavaScript, and JQuery</div>
+							<h4>SINCERELY iOS APP</h4>
+							<div class="description">Positive messaging mobile app that lets you anonymously message people in your area and view a map of the places you’ve reached. Built in Swift using Parse Server on Heroku</div>
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-							<h4>SCHEME INTERPRETER</h4>
-							<div class="description">Developed an interpreter for a subset of the Scheme language that works with immutable values, uses only expressions, and specializes in symbolic computation</div>
+							<h4>TEXT EDITOR</h4>
+							<div class="description">1000 line text editor in Java that opens, saves, and edits text files. Used the external JavaFX library to display text and implement functionality such as scrolling and undo redo</div>
 							<div class="button"><a href="/jessicajji/scheme_interpreter">VIEW</a></div>
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@@ -137,7 +137,7 @@ <h4>SCHEME INTERPRETER</h4>
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 							<h4>HIERARCHICAL CLUSTERING</h4>
-							<div class="description">Constructed a Mean Shift machine learning algorithm to iteratively identify high-density, popular locations and show route overlap across sample users</div>
+							<div class="description">Mean shift machine learning algorithm that iteratively identifies high-density longitude and latitude points and shows route overlap between users at popular locations</div>
 							<div class="button"><a href="/jessicajji/hierarchical_clustering_mean_shift">VIEW</a></div>
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@@ -145,22 +145,22 @@ <h4>HIERARCHICAL CLUSTERING</h4>
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 							<h4>DATA VISUALIZATION</h4>
-							<div class="description">Built a Shiny app with RStudio to visualize moves data for a mobility marketplace enabled by carpooling and mobile phones</div>
+							<div class="description">Shiny web application in R used to visualize users' location data across three months</div>
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-							<h4>RESTAURANT PREDICTOR</h4>
-							<div class="description">Created a visualization of restaurant ratings using machine learning. Employed the k-means algorithm to group restaurants according to preferences and the least-squares regression to predict user ratings. </div>
+							<h4>NERD HERD WEB APP</h4>
+							<div class="description">Tutor location app built at CalHacks with Elastic Search, Google Maps API, and JavaScript/jQuery</div>
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-							<h4>REDDIT REDESIGN</h4>
-							<div class="description">Utilized HTML/CSS in making design decisions to improve the UI/UX of Reddit's home, search, and thread pages</div>
+							<h4>SCHEME INTERPRETER</h4>
+							<div class="description">Interpreter for a subset of the Scheme language that works with immutable values, uses only expressions, and specializes in symbolic computation</div>
 							<div class="button"><a href="/jessicajji/reddit_redesign">VIEW</a></div>
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