Philipp Singer is a Senior Data Scientist at UNIQA Insurance Group in Vienna. Previously, he was working as a post doctoral researcher at the Data Science Lab of GESIS. Philipp obtained a PhD in computer science with honors at the Technical University of Graz where he also finished his Master studies in Software Development and Business Management.
Philipp is passionate about machine learning, statistics, data mining, programming, and many further data science related fields. During his career, he has proven his expertise on several occasions, including multiple winning and top placements on Kaggle as well as several scientific honors such as a best paper award at the renowned World Wide Web Conference. He loves supporting and enabling data-driven decision making, developing data services, as well as teaching and mentoring. Philipp is also always eager to delve into new bleeding-edge fields and technologies.
Around my expertise in data science, I offer services in the areas of Teaching, Coaching, and Implementing. With these services, my goal is to pass my experiences I have gained throughout my activities at universities and companies. All services will be individually adapted based on personal needs and requirements and can be extended to further areas and topics. For more information, please consult the following elaborations and please do not hesitate to contact me directly in case of interest.
The following link refers to a list of all peer-reviewed journal, conference, workshop, and poster/demo track publications, as well as book chapters and tutorials on Google Scholar.
The privacy of your data is of utmost importance to us. Consequently, we have implemented necessary steps in order to handle your data confidential and adhere to all data privacy regulations, most importantly GDPR. In general, the usage of this website is possible without the provision of any kinds of private data. We advise all users of this website to also be careful with handling their own private data and to also be aware of security risks in transferring data via certain channels such as e-mail. On this site we utilize an SSL certificate and force HTTPS to counteract certain security issues while transferring data. This website is self-hosted on Siteground with the hosting location being in the European Union (Amsterdam).
At each time, a user of this website can request information about stored personalized data as well as request the deletion of corresponding data. For any inquiries, please contact our general e-mail address firstname.lastname@example.org.
Our hosting provider Siteground is collecting server log files that get automatically transferred via your browser. These logs contain information about the requesting user’s browser, operating system, hostname (ip address), referrer URL, and time of request. We cannot and will not directly connect this data to any particular user. The main purpose of collecting this log data is to ensure network and information security (see recital 49 GDPR). This could, for example, include preventing unauthorised access to electronic communications networks and malicious code distribution and stopping ‘denial of service’ attacks and damage to computer and electronic communication systems.
When you contact me via website or e-mail, your provided data will be stored for handling your request. All data provided is voluntary and can be requested to be deleted at any time. Your data is also safe and will not be sent to other third parties.
This website uses Google Fonts. We include a fonts as CDNs on this website, as this guarantees a better user experience (e.g., loading times) and allows users with different operating systems and browsers to have the same funcationality. The use of Google Fonts is unauthenticated and no cookies are sent by website visitors to the Google Fonts API. For further details, please visit Google's comprehensive privacy FAQ.Close
I gladly offer services in the area of teaching. The format, complexity, and corresponding topic of lectures and courses can be individually tailored to your needs and requirements. It is my deepest belief, that advanced knowledge and attention around the topic of data plays a crucial role for companies. Consequently, it is also important to build up internal knowledge within a company in order to foster sustainable effects. The following list offers a few examples of potential situations, teaching formats and scenarios:
Abovementioned examples should only highlight a small excerpt of potential teaching services. Through my scientific and corporate activities, I have already gained manifold experiences in the area of teaching (e.g., lecturing the "Machine Learning and Data Mining" course at the University of Koblenz). It has always been my personal drive to communicate and pass on my knowledge in this area, e.g., through posts and tutorials in my personal Blog. Consequently, I hope to be able to adapt to all your personal needs and requirements. Gladly, I also offer hands-on lecturing in the form of coaching.Close
Apart from services in the area of Teaching, I also offer direct coaching and mentoring for teams and individuals. Again, corresponding services can be individually adapted and cover a diverse array of topics, as for example:
Again, ebovementioned examples should only highlight a few potential scenarios, and respective services I can offer will always be custom-tailored to your requriments. Throughout my previous career, I could obtain wide-ranging experiences in the areas of coaching, mentoring, and tutoring. This includes e.g., successfull tutoring of students in various practical courses, but also the mentoring of Bachelor, Master, and PhD theses. Apart from that, I have also offered and published diverse tutorial at e.g., renowned conferences, but also on my personal Blog. The practical support of teams and individuals is a personal concern of mine, and I hope to be able to offer you appropriate solutions in this area.Close
I am excited to support you in conducting valuable data science projects. My deepest belief is also that it is crucial to build up knowledge within the company which is why I will actively support teams and employees during the process and communicate all valuable knowledge to stakeholders. My topical and methodological expertise in the field of data science is manifold and covers, among many others, e.g., the following areas:
Through my year-long activities in the area of data science, I have conducted a multitude of projects and scientific activities in the area of data science. An overview of some of my activities can be found in my publication list, as also my Github profile, or my personal Blog. Parts of my work has also been awarded, such as a best paper award at the renowned World Wide Web Conference. I would be excited to support you in any applied data science activites.Close