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https://github.com/darenasc/darenasc.github.io
https://github.com/darenasc/darenasc.github.io
Last synced: 23 days ago
JSON representation
- Host: GitHub
- URL: https://github.com/darenasc/darenasc.github.io
- Owner: darenasc
- Created: 2019-08-06T23:40:04.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2024-08-09T16:40:54.000Z (3 months ago)
- Last Synced: 2024-08-09T18:25:57.585Z (3 months ago)
- Size: 6.38 MB
- Stars: 0
- Watchers: 3
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# darenasc.github.io
[CV](files/CV_Diego_Arenas.pdf) | [GitHub](https://github.com/darenasc/) | [Twitter](https://twitter.com/darenasc) | [Data Science for Good](https://github.com/darenasc/data-science-for-good) repo | [Awesome Data for Good](https://github.com/darenasc/awesome-data-for-good)
![](https://img.shields.io/github/followers/darenasc?style=social)
![](https://img.shields.io/twitter/follow/darenasc?style=social)### Projects
* [AEDA](https://github.com/darenasc/aeda/) - Python library to profile databases automatically. Former [Auto-EDA]((https://github.com/darenasc/auto-eda))
* [Auto FES](https://github.com/darenasc/auto-fes) - Python library to analyze structured data from plain files automatically.
* [Podcast escuchAI](https://escuchai.com) - Podcast about Artificial Intelligence, Data Science and Big Data (in spanish) ([Spotify](https://open.spotify.com/show/3TL2aujg5UsRD69tnTbtbj?si=7Vjf4NSJRp-HGKHCW7tUNQ)) ([Apple Podcasts](https://podcasts.apple.com/gb/podcast/escuchai/id1542080256)) ([SoundCloud](https://soundcloud.com/escuchai-escuchai))
* [App - Paper Analysis](https://paper-viz.streamlit.app). App to visualize information about a given paper.
* [App - UNGA78 Speech Analysis](https://unga-speeches-2023.streamlit.app).### Activities
* 2024-10-12 Talk "Starting Projects in Data4Good" at CorrelCon 2024 ([slides](https://docs.google.com/presentation/d/1NcaQEtwTbGttfMFWoSINO3YXBNaTejolN4gIgrId9QU/edit#slide=id.p)).
* 2024-10-12 Worksop "(automated) Exploratory Data Analysis" at CorrelCon 2024 ([slides](https://docs.google.com/presentation/d/18An6Y9cGu1lSO2enbFsOwY-xxaPBPh12tw7MJAZluOk/edit#slide=id.p), [repo](https://github.com/darenasc/eda/tree/main/notebooks/correlcon_2024)).
* 2024-07-08 Lecture "MLOps" at RPTU ([slides](https://docs.google.com/presentation/d/1TVMxFsiBEaP-e0R2o-yiZWYouOwt0meyGh53hCM-1gk/edit?usp=sharing), [video](https://vcm.uni-kl.de/Panopto/Pages/Viewer.aspx?id=e2be298b-0131-4d5f-9b59-b1a7009abf5a&start=0)).
* 2023-11-11 Workshop "Exploratory Data Analysis" at CorrelCon 2023, ([slides](https://docs.google.com/presentation/d/1mYtzt5Tfk_xbYSWUBRgiNH5TumJNUWlRVDMeyntee_w/edit?usp=sharing), [repo](https://github.com/darenasc/eda)).
* 2023-09-06 Blogpost at [DataKindUK](https://datakind.org.uk)'s Medium: [Putting your charity on the map](https://medium.com/datakinduk/putting-your-charity-on-the-map-5526eba4d116)
* 2022-12-14 Blogpost at [DataKindUK](https://datakind.org.uk)'s Medium: [Top tips for working with sensitive text data](https://medium.com/datakinduk/top-tips-for-working-with-sensitive-text-data-270c7c32cfcb).
* 2022-06 / 2022-09 Technical Mentor at the [Data Science for Social Good xDFKI (DSSGxDFKI) 2022](https://sebastian.vollmer.ms/dssg/) summer program.
* 2022-03-31 Talk "A microservices architecture with Python and Docker containers" at Docker Community All-Hands #5, ([slides](https://docs.google.com/presentation/d/107sz-krcue5rpR_FWZp2_CmxbupplWuRykvrfXP2hEk/edit?usp=sharing), [video](https://www.youtube.com/watch?v=0LPRomOq_i4)).
* 2022-02 EngD in Computer Science thesis [Data Science use cases in the Manufacturing Industry: From theory to practice](files/EngD_Thesis_Diego_Arenas.pdf).
* 2021-11-04 Talk Automated Exploratory Data Analysis of Databases at PyData Edinburgh Meetup, ([slides](https://docs.google.com/presentation/d/1dxh7bYndiFWfZPgTXaaXxoWnkrL0jiyN8KEk_qUTNBI/edit?usp=sharing)).
* 2021-10-30 Lightning talk Automating the Exploration of Databases for Data Science with AEDA at PyData Global 2021, ([slides](https://docs.google.com/presentation/d/15lOZyjpFiHCfaZ18nn0NiULWZsKz2444FOH-REK3Xlk/edit?usp=sharing), [video](https://youtu.be/PsCKG8EZIfw?t=3314)).
* 2021-02-16 Interview at Towards Data Science blog [The real AI Challenges into the Future, Do not worry, but worry](https://towardsdatascience.com/do-not-worry-but-worry-43b5902c1ce6) with [Rosaria Silipo](https://www.linkedin.com/in/rosaria/).
* 2021-02-10 Blogpost at [KDNugget My machine learning model does not learn. What should I do?](https://www.kdnuggets.com/2021/02/machine-learning-model-not-learn.html) with [Rosaria Silipo](https://www.linkedin.com/in/rosaria/).
* 2020-10-23 Talk "Desafíos en Inteligencia Artificial para el Bien Común", at IFICC ([video](https://www.youtube.com/watch?v=pnRLgD56N6w))
* 2020-07-27 Talk "Docker and Containers for Data Science" at Social Data Society at DKUK, ([slides](https://docs.google.com/presentation/d/1CeyQzwyLR9j-0bLmonuOgYLwQ4ky7UhLsmz8w_XaGwM/edit#slide=id.p)) ([demo](https://github.com/darenasc/docker-demo))
* 2020-07-23 Paper [MLJ: A Julia package for composable Machine Learning](https://arxiv.org/abs/2007.12285)
* 2020-07-03 Blogpost at [DataKindUK](https://datakind.org.uk)'s Medium: [What is it like to be a data for good volunteer?](https://medium.com/datakinduk/what-is-it-like-to-be-a-data-for-good-volunteer-9063859659c5)
* 2020-06 / 2020-09 Technical Mentor at the [Data Science for Social Good UK (DSSGxUK)](https://www.turing.ac.uk/collaborate-turing/data-science-social-good) summer program.
* 2020-03-30 Guest lecture at Bath University on Challenges on the FATE of AI for Good, ([slides](https://docs.google.com/presentation/d/1m54oATzNZE65apmAXmdtO4hOLNccjXwX8u8iELVUKrM/edit#slide=id.p)) ([video](https://www.youtube.com/watch?v=qDe1wfXAm1w)).
* 2020-01-23 Preprint paper [Signals of recent tropical radiations in Cunoniaceae, an iconic family for understanding Southern Hemisphere biogeography](https://www.biorxiv.org/content/10.1101/2020.01.23.916817v1).
* 2019-09-03 Lightning talk about Automated Exploratory Data Analysis on databases with [Auto EDA](https://github.com/darenasc/auto-eda) at the 58th PyData London Meetup, ([slides](https://docs.google.com/presentation/d/1PMBsQNlMk3IjkZcLuZVRwG-s3TNeqTJxp0Y90W7FBro/edit?usp=sharing)) ([video](https://www.youtube.com/watch?v=vvvBWQLFtok)).
* 2019-08-23 Paper [Design choices for productive, secure, data-intensive research at scale in the cloud](https://arxiv.org/abs/1908.08737)
* 2019-03-29 Talk "Radical automation of infrastructure and software for data science", Fourth Annual UK System Research Challenges Workshop, March 27–29, 2019 ([programme](http://uksystems.org)) ([slides](https://drive.google.com/open?id=1pGOK8WIwY1L1Vu07rFX_xE8GPL524DLih7oCRd7m7kQ))
* 2019-03-25 Poster [Automated Feature Extraction from Databases for Data Analysis and Modelling](files/SICSA_poster.pdf) SICSA PhD Conference 2019, Stirling, UK.
* 2019-02-20 Co-organisation of the [Thinking Chile Seminars: Sharing Ideas in Edinburgh 2019](https://vimeo.com/319034557).
* 2019-02-20 Talk [AI National Strategies](https://drive.google.com/open?id=1OMAkbchJHNPfMTml14hPEQKzmvhdJMHELtnVsbeCY9k), Thinking Chile 2019, Seminar in Artificial Intelligence.
* 2018-05 Postition Paper [Scalable Digital Volunteering: A Data for Social Good Marketplace](files/ScalableDigitalVolunteering.pdf)
* 2018-04 Position Paper [The Case for Data For Good](files/TheCaseForDataForGood.pdf)
* 2018-04 Data Study Group team. (2019). Data Study Group Final Report: Global bank. [http://doi.org/10.5281/zenodo.2557809](http://doi.org/10.5281/zenodo.2557809)
* 2018-02-08 Co-organisation of the [Thinking Chile Seminars: Sharing ideas in Edinburgh 2018](https://sites.google.com/view/thinkingchile/page).
* 2018-02-08 Poster [A Big Data Architecture for Chile](files/bigdataposterchile_v2.pdf). Thinking Chile Seminars 2018, Edinburgh, UK.
* 2017-12 Data Study Group team. (2018, September 13). Data Study Group Final Report: Codecheck. Zenodo. [http://doi.org/10.5281/zenodo.1415344](http://doi.org/10.5281/zenodo.1415344)
* 2017-05-09 Talk [Big Data Analytics y Data Science](https://docs.google.com/presentation/d/1jM4aISvyp1c77929spxw9VnrftHK5wS9hbQxjFPygMI/edit?usp=sharing) Universidad Autónoma de Chile, Sede Talca, VII Región, Chile.
* 2017-05-05 Talk [Introducción a Data Science y Big Data](https://docs.google.com/presentation/d/16tdXvMhkcnqLdPimAc7DWjESwf8e3peANmPu2257kys/edit?usp=sharing) Universidad de Talca, Sede Santiago, Chile.
* 2017-02-16 Talk [Data Science with Docker](https://drive.google.com/open?id=1lPFY8zarERKg_dMfI_LHnEH_1i6oLmaI), Edinburgh Docker Meetup, February 2017.
* 2016-11 MSc in Data Science dissertation project: [Automatic hierarchical data extraction from relational databases](files/MSc_Dissertation_Project_Diego_Arenas.pdf).
* 2016-11-20 Podcast, invited guest to Datalatam, episode ["Mesa redonda sobre la industria de datos"](http://www.datalatam.com/18/) (in spanish)
* 2016-09-16 Talk [Introduction to Data](https://docs.google.com/presentation/d/1uPMz7Jkk8wB9E8evf20k_L5d8v2lDVR3QqNnFOC_v5M/edit?usp=sharing) Edinburgh UN Global Goals Jam, 2016.
* 2016-09-11 Podcast, invited guest to Datalatam, episode ["La diferencia entre Business Intelligence y Data Science"](http://www.datalatam.com/11/) (in spanish)
* 2014-12-11 Talk [Customer Intelligence, Oportunidades y Desafíos](https://www.slideshare.net/darenasc/customer-intelligence-42726084), Customer Intelligence Seminar, Universidad de Talca, Chile.
* 2011-07-01 [Strategic Business Intelligence for NGOs](files/Business_Intelligence_and_Agile_Methodol.pdf), CEPIS Upgrade, European Journal for the Informatics Professional, Vol. XII, issue No. 3, July 2011, pag 38.
* 2009-03-14 Talk [Qué es Business Intelligence](https://www.slideshare.net/darenasc/que-es-bi-expotic-maule-2009-1146646), ExpoTIC, Curicó, Chile.