Learn from the best in Data Science and Engineering with personal student mentoring
Deadline for applications: October 31st
The start date of the program is December 2023 (Program will roughly follow the school year)
Insight into Industry Applications:
Experience mentors guiding you in applying your academic skills to real-world industry scenarios. Gain valuable insights into industry trends, practices, and problem-solving techniques. Throughout the program, you'll have the chance to participate in technical sessions with mentors, expanding your knowledge and expertise.
Comprehensive Career Guidance:
Receive personalized career advice from mentors who are committed to helping you identify your strengths, set meaningful goals, and make informed decisions. Gain guidance on resume building, interview preparation, networking strategies, and gaining a deep understanding of the job market. Additionally, non-technical sessions focused on enhancing your presentation and project skills will be conducted throughout the year, equipping you with essential non-technical abilities crucial for success.
Fostering Informal Connections:
Mentors create a supportive and comfortable environment where open conversations thrive. They actively listen to your concerns, aspirations, and challenges, building a foundation of trust and camaraderie. As part of the program, you'll have opportunities to connect with fellow mentees through informal social events held throughout the year, forging lasting connections.
In order to participate in this program, we expect students to meet the following criteria:
Over the course of 8 months, as a mentee you will have access to a wide range of engaging sessions and social events, designed to provide a comprehensive and enriching experience that supports both professional and personal growth.
Main Engineering and Analytics Sessions: Delve into the core engineering and analytics sessions, where you will gain insights into industry trends, best practices, real wTrld cases and innovative techniques.
Supporting Non-Technical Sessions: Enhance essential non-technical skills through dedicated sessions focused on honing presentation skills, understanding the business context, and developing other relevant professional abilities.
Social Events: Enjoy a variety of social events throughout the program, including dinners, Friday bar gatherings, board game nights, and more.
One-on-One Mentoring and Informal Coffee Sessions: Benefit from personalized guidance through one-on-one mentoring sessions, where mentors and mentees can connect online or in-person.
Case Competition: The program concludes with a case competition that challenges you to apply your skills and knowledge. This will be followed up by a wrap-up event.
Lunch and learns/tutorials:You will have access to interactive sessions where you can explore and gain inspiration from ongoing projects and initiatives at Halfspace. In addition, you will have the opportunity to take part in practical and immersive technical tutorials, providing you with hands-on experience and a deeper understanding of data analysis techniques.
Christian is a member of the Halfspace engineering- and data science team. He holds a M.Sc. in Computer Science and Engineering from DTU, after having finished a B.Sc. in Computer Science from DIKU.
Natasha is a part of our world-class data scientist team - helping our clients leverage their data to make better, more informed decisions, faster.
Prior to joining Halfspace, she was at Amazon Web Services (AWS) in Berlin. She graduated with honours in Computer Science and Engineering in the AI and algorithms track, and worked on multiple research projects in Time Series Forecasting, NLP, and Generative Models at DTU - Technical University of Denmark and at Ecole Polytechnique Fédérale de Lausanne.
Natasha previously co-founded a start-up, partnering with Danish SMVs to design data science solutions for their specific use cases. This period sparked her passion for finding creative technical solutions to industry problems.
Mikkel Mathiasen helps our clients leverage their data to make better, more informed decisions, faster. He is a part of our multi-disciplinary team of AI- and data scientists, machine learning engineers, data engineers, project managers and UX researchers.
Mikkel comes with a background in mathematical modelling and computation, attaining his MSc from DTU - Technical University of Denmark. Prior to joining Halfspace, Mikkel worked with Airfinity Ltd as a Junior Data Scientist and AdPlenty as a Data Scientist.
He is an avid participant in competitions and won the Djøf / Boston Consulting Group (BCG) / Novozymes 'Doing Business In' case competition during his MSc.
Valeria is a part of our Data and Machine Learning Engineering team.
Valeria holds a bachelor's degree in Computer Science from Universitatea Tehnică a Moldovei, followed by a master's degree in Business and IT from CBS International Business School and DTU - Technical University of Denmark. Valeria's heart lies in having hands on data and developing code.
Before joining Halfspace Valeria worked at KPMG as a Machine Learning Consultant on a variety of projects, as well as heading the Prototyping Team (in the NewTech department), responsible for developing innovative POCs.
If you have further questions, you are welcome to email Christian at firstname.lastname@example.org