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Domain > laurabravopriegueportfolio.click
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DNS Resolutions
Date
IP Address
2023-09-15
16.12.18.32
(
ClassC
)
2023-10-25
16.12.18.16
(
ClassC
)
2023-11-04
16.12.20.24
(
ClassC
)
2024-07-08
16.12.18.40
(
ClassC
)
Port 80
HTTP/1.1 200 OKx-amz-id-2: 0iXnlSH28xQNvpV23NcT29bvt5DofQM+y1usFS2N1MqMwnp6BDMoKL8VaWlxCUMSAicEOEd5mKMx-amz-request-id: 3FV4RH0PFMCTHD6BDate: Mon, 08 Jul 2024 07:05:35 GMTLast-Modified: Mon, 15 Aug 2022 14:55:35 GMTETag: 4b9a1bf829a7de3de30a411d4dfd0587Content-Type: text/htmlServer: AmazonS3Content-Length: 16919 !DOCTYPE html>html>head> meta nameviewport contentwidthdevice-width, initial-scale1> link relstylesheet hrefstyle.css> link relstylesheet hrefhttps://cdnjs.cloudflare.com/ajax/libs/font-awesome/4.7.0/css/font-awesome.min.css> link relicon typeimage/svg hrefimg/sunflower.svg>meta propertyog:title contentHi I am Laura. Welcome to my data science portfolio!>meta propertyog:description contentHere I will share my latests data science projects, publications and tutorials. Hope you find it interesting!>meta propertyog:image contenthttps://laurabravopriegueportfolio.ga/img/tech.jpg>meta propertyog:url contenthttps://laurabravopriegueportfolio.ga/index.html>meta nametwitter:title contentHi I am Laura. Welcome to my data science portfolio!>meta nametwitter:description contentHere I will share my latests data science projects, publications and tutorials. Hope you find it interesting!>meta nametwitter:image content https://laurabravopriegueportfolio.ga/img/tech.jpg>meta nametwitter:card contentsummary_large_image> title>Lauras Portfolio/title>/head>body> !-- MAIN (Center website) --> div classmain> div idnavigator> !-- TO DO: add links --> ul> li>a href#aboutme>About/a>/li> li>a href#publications>Publications/a>/li> li>a href#projects>Projects/a>/li> li>a href#tutorials>Tutorials/a>/li> li>a href#certificates>Certificates/a>/li> li>a href#contact>Contact/a>/li> /ul> /div> div idhome> div classcontainer> source srchttps://unsplash.com/photos/Wj1D-qiOseE> img srcimg/tech.jpg altField with Antenna> div classcentered> h1>Hi, I am Laura. /h1> h2>Welcome to my data science portfolio!/h2> /div> /div> /div> br> div idsummary> h2>Laura in a nutshell: /h2> !-- TOD DO: make heights of images responsive --> div classrow> div classcolumn> div classcontainer> source srchttps://unsplash.com/photos/iggWDxHTAUQ> img srcimg/grad.jpg altGraduation> div classcentered> h3 stylebackground-color: rgb(0, 0, 0, 0.5)> UCL Postgrad /h3> /div> /div> /div> div classcolumn> div classcontainer stylecolor: black> source srchttps://unsplash.com/photos/nwdX0MmAL4o> img srcimg/language.jpg altLetters stylewidth:100%> div classcentered> h3 stylebackground-color: rgb(255, 255, 255, 0.5)> Natural Language Processing /h3> /div> /div> /div> div classcolumn> div classcontainer stylecolor: black> source srchttps://unsplash.com/photos/HUBofEFQ6CA> img srcimg/facebook.jpg altFacebook Login stylewidth:100%> div classcentered> h3 stylebackground-color: rgb(255, 255, 255, 0.5)> Social Network Analysis /h3> /div> /div> /div> div classcolumn> div classcontainer> source srchttps://unsplash.com/photos/HUBofEFQ6CA> img srcimg/neuralnets.jpg altNeural Nets stylewidth:100%> div classcentered> h3 stylebackground-color: rgb(0, 0, 0, 0.5)> Neural Networks /h3> /div> /div> /div> /div> div classrow> div classcolumn> div classcontainer stylecolor: black> source srchttps://unsplash.com/photos/oOsIITG2Wv4> img srcimg/raspberries.jpeg altRaspberries in a Bowl stylewidth:100%> div classcentered> h3 stylebackground-color: rgb(255, 255, 255, 0.5)> Raspberry Pi /h3> /div> /div> /div> div classcolumn> div classcontainer> source srchttps://unsplash.com/photos/6pO3QFkk7hQ> img srcimg/books.jpg altBooks stylewidth:100%> div classcentered> h3 stylebackground-color: rgb(0, 0, 0, 0.5)> Literature and Linguistics /h3> /div> /div> /div> div classcolumn> div classcontainer stylecolor: black> source srchttps://unsplash.com/photos/AT77Q0Njnt0> img srcimg/visualization.jpg altData Chart stylewidth:100%> div classcentered> h3 stylebackground-color: rgb(255, 255, 255, 0.5)> Data cleaning & Visualization /h3> /div> /div> /div> div classcolumn> div classcontainer> source srchttps://unsplash.com/photos/w7ZyuGYNpRQ> img srcimg/database.jpg altComputer stylewidth:100%> div classcentered> h3 stylebackground-color: rgb(0, 0, 0, 0.5)> Databases and SQL /h3> /div> /div> /div> /div> /div> br> a idaboutme> div id groupofp > br> h3>About me/h3> p>Hi, I am Laura! I currently work as a Machine Learning Engineer at b>Spoon Guru/b>, where I build end-to-end Machine Learning pipelines. At SpoonGuru I am able to apply my Machine Learning expertise to grocery data and build data products for the retail sector. Before SpoonGuru, I worked at b>Codec.ai/b>. Where I specialised in behavioural analysis of users through the study of text using b> Natural Language Processing (NLP) methodologies./b>/p> p>I have a very non-conventional, interdisciplinary background. As a bachelors, I studied a b> BASc in Arts and Sciences in University College London (UCL)/b>. This is a interdisciplinary degree that allowed me to freely combine my passion in literature with modules from other areas of knowledge. I majored in literary and linguistic studies and minored in computer science. It was during this course when b>I discovered and fell in love with NLP/b>, which I explored in order to make a computational literary analysis of Walt Wiltmanspan>'/span>s i>Leaves of Grass/i> for my final year dissertation. /p> p> After BASc, I graduated with distinction on a b> MSc from the Information Sciences /b> department of UCL. This course allowed me to further explore the field of NLP and b>introduced me into ML methodologies/b>. Both of these worlds intersected in my dissertation under the title of: i>Cross-Domain Evaluation of Document Sentiment Classification using a Combined Recursive-Recurrent Model/i>. My expertise on the field of ML allowed me to work as a b> Research Assistant at UCL/b> for Dr. Luke Dickens and help him create teaching material for the module i> Introduction to Machine Learning and Data Science./i>/p> br> br> /div> /a> br> !-- Portfolio Gallery Grid --> !-- stylebackground-color: rgb(0, 0, 0, 0.5) --> div idproject_grid> h2 idpublications>My NLP publications: /h2> div classrow> div classcolumn> div classcontent> source srchttps://unsplash.com/photos/nwdX0MmAL4o> img srcimg/language.jpg altLetters> h3>Sentence Embeddings and CoreNLPspan>'/span>s Sentiment Model/h3> p styletext-align:center;>i>Published in Towards Data Science/i>/p> div idtwo_buttons style display:flex; justify-content: center;> a classbutton target_blank hrefhttps://towardsdatascience.com/sentence-embeddings-and-corenlps-recursive-sentiment-model-d88af7f7b4f5> button typebutton>Post/button> /a> a classbutton target_blank hrefhttps://github.com/laurabravopriegue/coreNLP_tutorial> button typebutton>Code/button> /a> /div> /div> /div> div classcolumn> div classcontent> source srchttps://unsplash.com/photos/0sBTrm726C8> img srcimg/language2.jpg altLetters > h3>Intro to Stanfordspan>'/span>s CoreNLP for Pythoners/h3> p styletext-align:center;>i>Published in Towards Data Science/i>/p> div idtwo_buttons style display:flex; justify-content: center;> a classbutton target_blank hrefhttps://towardsdatascience.com/intro-to-stanfords-corenlp-and-java-for-python-programmers-c2586215aab6> button typebutton>Post/button> /a> a classbutton target_blank hrefhttps://github.com/laurabravopriegue/coreNLP_tutorial> button typebutton>Code/button> /a> /div> /div> /div> div classcolumn> div classcontent> img srcimg/language3.png althttps://unsplash.com/photos/0sBTrm726C8> h3>Transfer Learning and RNN — the CoreNLP Series/h3> p styletext-align:center;>i>Published in Towards Data Science/i>/p> div idtwo_buttons style display:flex; justify-content: center;> a classbutton target_blank hrefhttps://towardsdatascience.com/transfer-learning-and-rnn-the-corenlp-series-pt-iii-2944f42a19a0> button typebutton>Post/button> /a> a classbutton target_blank hrefhttps://github.com/laurabravopriegue/coreNLP_tutorial> button typebutton>Code/button> /a> /div> /div> /div> !-- END GRID --> /div>!-- div classrow>-->!-- -->!-- /div>--> /div>br>br> div idproject_grid> h2 idprojects>Other NLP projects:/h2> div classrow> div classcolumn> div classcontent> source srchttps://unsplash.com/photos/9BXL-Vn22Do> img srcimg/trump.jpg altTrump in a Newspaper> h3>The Electionary: Textual Analysis of U.S. Presidential Elections/h3> div idtwo_buttons style display:flex; justify-content: center;> a classbutton target_blank hrefhttps://theelectionary.wordpress.com/> button typebutton>Website/button> /a> a classbutton target_blank hrefhttps://github.com/laurabravopriegue/the-electionary> button typebutton>Code/button> /a> /div> /div> /div> div classcolumn> div classcontent> br/> p> b> The Electionary /b> is a project that analyses historical trends in the use of language in American politics, more specifically the language used in Presidential election campaigns. We investigated the ways in which use of language has changed, by using computer-aided textual analysis methods primarily on the text of the television debates in the campaigns from 1960 onwards, using the American Presidency Project as a resource./p> /div> /div> !-- END GRID --> /div> /div> br> br> div idproject_grid> h2 idtutorials>My Raspberry Pi Tutorials: /h2> div classrow> div classcolumn> div classcontent> img srcimg/raspberries.jpg altRaspberries> h3>Raspberry Pi 3: connect to multiple WiFis & set multiple Static IPs/h3> p styletext-align:center;>i>Published in The Startup/i>/p> div idtwo_buttons style display:flex; justify-content: center;> a classbutton target_blank hrefhttps://medium.com/swlh/raspberry-pi-3-connect-to-multiple-wifis-set-multiple-static-ips-52f8a80d2ee1> button typebutton>Post/button> /a> /div> /div> /div> div classcolumn> div classcontent> img srcimg/moreraspberries.jpg altRaspberries> h3>Raspberry Pi 3: headless setup with Mac/h3> br>br> div idtwo_buttons style display:flex; justify-content: center;> a classbutton target_blank hrefhttps://medium.com/@laurabravopriegue/raspberry-pi-headless-setup-with-mac-3d02d57c4e3b> button typebutton>Post/button> /a> /div> /div> /div> !-- END GRID --> /div> div classrow> div classcolumn> div classcontent> img srcimg/mixofthings.png altLogo of Kivy, Raspberry Pi, Apple> h3>Build a Mobile App and trigger Subprocess on your Raspberry Pi/h3> div idtwo_buttons style display:flex; justify-content: center;> a classbutton target_blank hrefhttps://medium.com/@laurabravopriegue/run-scripts-on-your-raspberry-pi-from-a-mobile-app-using-kivy-efd00abaeaee> button typebutton>Post/button> /a> /div> /div> /div> div classcolumn> div classcontent> source srchttps://unsplash.com/photos/VOz0gV9HC0I> img srcimg/hardware.jpg altRaspberry Pi Board> h3>WebApp to send Message to Raspberry Pi Screen/h3> div idtwo_buttons style display:flex; justify-content: center;> a classbutton target_blank hrefhttps://github.com/ilGriso92/pi-message-webapp/blob/main/README.md> button typebutton>Code/button> /a> /div> /div> /div> /div> /div>br>br>div idcertificates> h2>Courses and certificates /h2> div classrow styledisplay:flex; justify-content: center;> div classcolumn> div classcontent> img srcimg/imperial_college.jpg altLogo of Imperial College London> h3>Mathematics for ML: Linear Algebra/h3> /div> /div> div classcolumn> div classcontent> img srcimg/deep_learning_ai.jpg altLogo of deeplearning.ai > h3>Deep Learning and Neural Networks/h3> /div> /div> div classcolumn> div classcontent> img srcimg/duke_university.jpg altLogo of Duke University > h3>Inferential Statistics/h3> /div> /div> div classcolumn> div classcontent> img srcimg/deep_learning_ai.jpg altLogo of deeplearning.ai > h3>Structuring ML Projects/h3> /div> /div> div classcolumn> div classcontent> img srcimg/gcp.png altLogo of GCP > h3>Production ML Systems/h3> /div> /div> /div> div classrow styledisplay:flex; justify-content: center;> div classcolumn> div classcontent> img srcimg/aws.png altLogo of AWS > h3>Deploy ML Models to AWS Cloud Servers/h3> /div> /div> div classcolumn> div classcontent> img srcimg/gcp.png altLogo of GCP > h3>Big Data and ML Fundamentals/h3> /div> /div> /div>/div>br> div idget_in_touch> h3 idcontact>Get in touch! /h3> div idnavigator stylepadding-bottom:1rem; display:flex; justify-content: center;> a target_blank titleLinkedIn hrefhttps://www.linkedin.com/in/laura-bravo-priegue-810415140/ classfa fa-linkedin>/a> a target_blank titleMedium hrefhttps://medium.com/@laurabravopriegueclassfa fa-medium>/a> a target_blank titleEmail hrefmailto:laurabravopriegue@gmail.com classfa fa-google>/a> a target_blank titleGitHub hrefhttps://github.com/laurabravopriegue classfa fa-github>/a> a target_blank titleTwitter hrefhttps://twitter.com/lbravopri classfa fa-twitter>/a> /ul> /div> /div> /div> !-- END MAIN -->br>/body>footer classfooter> p>Author: Laura Bravo Priegue br> /footer> /html>
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