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 related fields. During his career, he has proven his expertise on several occasions, including a first place in a recently running Kaggle competition 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.
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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