I do forecasting, web scraping, data wragling, optimization, data visualisation and much more in data analytics area. I have passion for working with data, its interpretation and modeling.
I am offering services that consist of forecasting, cleaning and data scraping from different web sources. I love to work with R as the possibilities of data manipulation and reports creation are endless. In R there is a option to build own powerfull applications with the Shiny package that has a special feature of easily implementation forecasting models, in comparison to others softwares, which is a huge advantage.
Python is definitely the best universal tool for data science. Creating and deploying of models is really fun and the language is versatile. One can create a full working app only with Python. My passion for python was developed through online courses and usage of vscode interactive window. If making AI then only with python! Python is able to create magical neuron nets that can solve almost any problem in today's world.
Automation elements and structure of a database is important for any business. With SQL language one may create magic and optimize databases and so save time and money because to have a accurate database is a must nowadays. Excel sheets cannot bare so much data as is currently produced. SQL is solution for big data it is very compatible with other software and could be connected with R or Python for later on analysis.
Tableau is a great tool to visualise analysed data, it helps to search for patterns and anomaly in the data. Also it is helpful fo visualisation geographical data. Projects could be build quite quickly, when the pre analysis is done. There are tons of features that can be used within the Tableau interface. The dashboards looks not only amazing but also one can observe essential correlations of causalities on interactive plots.
I created this app to have an overview of the current stock market regarding the biggest US companies and to make the right investment decisions. The model used is Prophet from Facebook.
With this application one can see a predicted salary for provided information about education, experience, country, programming languages and other variables. The algorithm used, is XGBoost.
With this application one can see a predicted salary for provided information - it is used the simple linear regression model that has the best performance on the given data.
In this Python application you can estimate the price of your own configured laptop based on its features and you can easily decide if to buy or wait for a discount.
This R application is focusing on prices of apartments in Brno, do you want to know the price of a real estate in your neighborhood? See the price prediction also with its mortgage calculation.
Login: user Password: brno
Where to invest and which stocks have bright future? Do not hesitate and check this app, as this shows you the probable future value of the chosen stock indexes.
Should one buy some crypto? Or is it better to invest in other options? Check this app written in R and decide on your own where to put your money. I chose three currencies - let me know and I will add others.
Write down a message that you would like to analyse and let see which emotions are hidden behind the words. So do not hesite and check message your are interested in, maybe you will discover some secret.
My name is Jaroslav Kotrba and I am a very energetic person with an analytical mindset and excellent language skills that are shaped and mastered through many international activities. Besides, I am very passionate about working with data and its visualization or transformation in an understandable manner. In the year 2020, I wrote and defended my diploma thesis: "The Systemic Risk at the Mortgage Market", which allowed me to unfold my skills in the data science area.
My passion for numbers, modeling, and predictions led me to courses linked to econometrics and statistics taught at the Faculty of Economics, where I got acquainted with data analytics. Then followed courses related to the statistics in computer science at the Faculty of Informatics that were not compulsory. However, I wanted to get a better insight and acquire more knowledge in practical data science from real IT experts.
The first working experience was obtained at the Czech Embassy in Vienna. My tasks were to compile statistics related to the Austrian economy and write summarisations on them accompanied by graphic elements predominantly sent to the headquarters in Prague. Writing about Prague gives me the opportunity to mention the membership in the Economics Commission for National Economy, where I discuss and elaborate possible changes, steps, and recommendations for the government to stabilize and improve the Czech Republic's economic situation. Nowadays, I devote my time to work with software R/Python where I love to solve new problems and challenges. As I do like R and Python very much, I am very keen on dealing with SQL, HTML&CSS, Excel, or Tableau. I am currently working at Barclays as Risk Software Developer & Analyst.
Download ResumeIf you would like to meet and have a tea/coffee here is the contact ;) , in case you prefer social sites, see the buttom of the page.