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Konrad Semsch
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added a new xgboost step post
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.gitignore

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.Rproj.user
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.Rproj.user/
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.Rproj/
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.Rhistory
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.RData
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.Ruserdata

config.toml

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# Tranquilpeak
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# Version : 0.4.7-BETA
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# Author : Thibaud Leprêtre
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# I STRONGLY recommend you to use a CDN to speed up loading of pages.
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# There is many free CDN like Cloudinary or you can also use indirectly
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# by using services like Google Photos.
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# https://omahar.org/post/submitting-a-post-with-blogdown/
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# https://tclavelle.github.io/blog/blogdown_github/
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baseURL = "https://konradsemsch.netlify.com/"
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languageCode = "en-us"
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defaultContentLanguage = "en-us"
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title = "Practitioners view on predictive modelling"
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theme = "hugo-tranquilpeak-theme"
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disqusShortname = "konradsemsch"
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googleAnalytics = "UA-146680003-1"
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paginate = 7
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canonifyurls = true
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ignoreFiles = ["\\.Rmd$", "\\.Rmarkdown$", "_files$", "_cache$"]
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[permalinks]
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post = "/:year/:month/:slug/"
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[taxonomies]
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tag = "tags"
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archive = "archives"
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[author]
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name = "Konrad Semsch"
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bio = "Practitioners view on predictive modelling"
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job = "Senior Data Scientist @ innogy SE"
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location = "Dortmund, Germany"
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picture = "images/profile.png"
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# Menu Configuration
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[[menu.main]]
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weight = 1
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identifier = "home"
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name = "Home"
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pre = "<b><i class=\"sidebar-button-icon fa fa-lg fa-home\"></i></b>"
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url = "/"
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[[menu.main]]
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weight = 2
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identifier = "about"
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name = "About"
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pre = "<i class=\"sidebar-button-icon fa fa-lg fa-address-card\"></i>"
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url = "/#about"
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[[menu.main]]
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weight = 3
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identifier ="experience"
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name = "Experience"
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pre = "<i class=\"sidebar-button-icon fa fa-lg fa-briefcase\"></i>"
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url = "/page/experience/"
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[[menu.links]]
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weight = 1
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identifier = "lkd"
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name = "Linkedin"
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pre = "<i class=\"sidebar-button-icon fa fa-linkedin-square\"></i>"
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url = "https://www.linkedin.com/in/konradsemsch/"
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[[menu.links]]
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weight = 2
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identifier = "github"
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name = "GitHub"
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pre = "<i class=\"sidebar-button-icon fa fa-lg fa-github\"></i>"
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url = "https://github.com/konradsemsch"
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[[menu.links]]
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weight = 3
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identifier = "email"
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name = "Email me"
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pre = "<i class=\"sidebar-button-icon fa fa-lg fa-envelope\"></i>"
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url = "mailto:[email protected]"
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[[menu.misc]]
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weight = 1
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identifier = "archives"
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name = "Archives"
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pre = "<i class=\"sidebar-button-icon fa fa-lg fa-archive\"></i>"
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url = "/archives"
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[[menu.misc]]
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weight = 2
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identifier = "tags"
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name = "Tags"
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pre = "<i class=\"sidebar-button-icon fa fa-lg fa-tags\"></i>"
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url = "/tags"
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[[menu.misc]]
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weight = 3
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identifier = "rss"
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name = "RSS"
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pre = "<i class=\"sidebar-button-icon fa fa-lg fa-rss\"></i>"
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url = "/index.xml"
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[params]
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dateFormat = "2 January 2006"
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keywords = ["data science", "statistics", "machine learning", "predictive modelling", "fintech", "banking", "r"]
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syntaxHighlighter = "highlight.js"
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# Hide sidebar on all article page to let article take full width to improve reading, and enjoy wide images and cover images. (true: enable, false: disable)
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clearReading = true
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# Define categories will create hierarchy between parents: `categories = ["foo", "bar"]` will consider "bar" a sub-category of "foo".
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# If false it will flat categories.
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hierarchicalCategories = true
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description = "Practitioners view on predictive modelling"
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# Customization
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# Define the behavior of the sidebar
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# 1: Display extra large sidebar on extra large screen, large sidebar on large screen,
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# medium sidebar on medium screen and header bar on small screen and
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# extra large sidebar is swiped on extra large screen and large sidebar on all lower screen (default)
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# 2: Display large sidebar on large screen, medium sidebar on medium screen and
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# header bar on small screen and large sidebar is swiped
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# 3: Display medium sidebar on large and medium screen and header bar on small screen and
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# medium sidebar is swiped
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# 4: Display header bar on all screens, extra large sidebar is swiped on extra large screen and
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# large sidebar is swiped on all lower screens
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# 5: Display header bar on all screens and large sidebar is swiped on large screen
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# 6: Display header bar on all screens and medium sidebar is swiped
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sidebarBehavior = 1
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# Your blog cover picture. I STRONGLY recommend you to use a CDN to speed up loading of pages.
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# There is many free CDN like Cloudinary or you can also use indirectly
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# by using services like Google Photos.
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# Current image is on AWS S3 and delivered by AWS CloudFront.
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# Otherwise put your image in folder `static/_images/` (development) or in `source/assets/images/` if you can't or don't want to build the theme,
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# and use relative url : `your-image.png`
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coverImage = "https://res.cloudinary.com/dl7yqljrx/image/upload/v1581584232/background_dark.jpg"
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# Display an image gallery at the end of a post which have photos variables (false: disabled, true: enabled)
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imageGallery = true
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# Display thumbnail image of each post on index pages (false: disabled, true: enabled)
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thumbnailImage = true
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# Display thumbnail image at the right of title in index pages (`right`, `left` or `bottom`)
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# Set this value to `right` if you have old posts to keep the old style on them
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# and define `thumbnailImagePosition` on a post to overwrite this setting
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thumbnailImagePosition = "bottom"
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# Automatically select the cover image or the first photo from the gallery of a post if there is no thumbnail image as the thumbnail image
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# Set this value to `true` if you have old posts that use the cover image or the first photo as the thumbnail image
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# and set `autoThumbnailImage` to `false` on a post to overwrite this setting
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autoThumbnailImage = true
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# Your favicon path, default is "/favicon.png"
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# favicon = "/favicon.png"
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# Header configuration
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# The link at the right of the header is customizable
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# You can add a link (as an icon) at the right of the header instead of the author's gravatar image or author's picture.
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# By default, author's gravatar or author's picture is displayed.
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# url: /#search
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# icon: search
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# class: st-search-show-outputs
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# Custom CSS. Put here your custom CSS files. They are loaded after the theme CSS;
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# they have to be referred from static root. Example
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# [[params.customCSS]]
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# href = "css/mystyle.css"
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# Custom JS. Put here your custom JS files. They are loaded after the theme JS;
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# they have to be referred from static root. Example
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# [[params.customJS]]
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# src = "js/myscript.js"
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# Display `Next` on left side of the pagination, and `Prev` on right side one.
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# If you set this value to `true`, these positions swap.
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# swapPaginator = true
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# Sharing options
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# Comment and uncomment to enable or disable sharing options
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# If you wanna add a sharing option, read user documentation :
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# Tranquilpeak configuration > Theme configuration > sharing-options
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[[params.sharingOptions]]
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name = "Facebook"
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icon = "fa-facebook-official"
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url = "https://www.facebook.com/sharer/sharer.php?u=%s"
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[[params.sharingOptions]]
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name = "Twitter"
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icon = "fa-twitter"
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url = "https://twitter.com/intent/tweet?text=%s"
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[params.header.rightLink]
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class = ""
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icon = ""
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url = "/#about"
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# Customize link of author avatar in sidebar
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# [params.sidebar.profile]
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# url = "/#about"
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# Customize copyright value "© 2017 <CUSTOMIZATION>. All Rights Reserved"
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# [params.footer]
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# copyright = "<a href=\"https://github.com/kakawait\">kakawait</a>"

content/.DS_Store

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content/.gitkeep

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content/page/experience.md

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---
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title: "Experience"
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comments: false
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showMeta: false
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showActions: false
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---
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During my professional career I’ve worked on many different data science projects, but I've collected the most extensive experience in implementing novel machine learning solutions in the financial industry. The disruptive nature of Fintech pushed me to coming up with innovative solutions for doing classic credit scoring. For the past couple of years, I have mainly worked on developing highly predictive credit scoring models based on non-traditional data sources and bank account transactional data.
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The models I have developed aimed at automating loan processing as much as possible, while still providing high predictive power. They were proved to meet their ambitious goals both internally, as well as with external partners and institutions.
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My main areas of financial services modelling expertise are:
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* aggregating raw bank account transactions into higher level attributes
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* classifying bank account transactions with neural networks
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* applying unsupervised ML techniques to bank account transaction descriptions
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* modelling and forecasting bank account EDB (Ending-Day-Balance) time-series
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* performing EDB time-series clustering and classification
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All of the above result in the creation of powerful and highly predictive scoring attributes based solely on bank account transactional data.
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In case you find my profile interesting, please reach out to me on [Linkedin](https://www.linkedin.com/in/konradsemsch/) or write me an email at: _[email protected]_.

content/post/.DS_Store

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