Interview with Ana Dobson: Data Science Alumna

1. Motivation: What originally motivated you to join Constructor Nexademy?
I was at a transition point where I wanted to move from a more theoretical background into applied data science and AI. I was particularly looking for a program that would not only teach tools, but also push me to build real, practical solutions. Constructor Nexademy stood out because of its strong focus on hands-on projects and real-world applications, which matched exactly what I was looking for.

2. Experience: How would you describe your experience during the program?
The experience was intense but very rewarding. It pushed me to move quickly from understanding concepts to actually implementing them. What I appreciated most was the practical approach: instead of staying at a theoretical level, we were constantly building, testing, and improving. That gave me confidence to work on my own projects afterwards.

3. Challenges & surprises: What challenged you the most, and what surprised you?
The biggest challenge was managing the pace - especially balancing different topics and learning to implement solutions quickly under time pressure. What surprised me most was how much progress is possible in a short time when you are fully focused on building. I also discovered that I enjoy creating systems that translate ideas into structured, practical solutions.

4. Skills & application: Which skills or projects have been most valuable?
The most valuable outcome for me was learning how to structure problems and turn them into implementable systems. I am currently applying this in my own project, Xova, where I am building a structured nutrition system based on pre-portioned smoothie mixes. What is interesting is not only the product itself, but the system behind it - including standardization, distribution, and scaling through different locations such as fitness studios and coworking spaces. The program helped me think in terms of systems rather than isolated tasks, which has been extremely useful.

5. Impact on your life: How has your career or personal life changed?
It gave me a much more practical and execution-oriented mindset. I feel more confident starting and building projects from scratch, and I approach problems in a more structured way. It also helped me move from thinking about ideas to actually testing them in the real world.

6. Project: What project did you work on?
During the program, I worked on projects related to data analysis and applied machine learning. The focus was on structuring data and extracting meaningful insights that could be used in real-world scenarios. This experience directly influenced how I approach my current work, especially in building structured and scalable systems.

7. Advice: What advice would you give?
I would say: focus on building as much as possible during the program. The biggest value comes from applying what you learn, not just understanding it. Also, don’t wait for everything to be perfect before starting your own project: start early, test ideas, and learn through iteration. Overall, the program helped me bridge the gap between theory and practice, which has been essential for what I am building now.