Marlen Kalilov

This role has allowed me to deepen my expertise in big data and machine learning, while also sharpening my skills in deploying automated solutions in cloud environments.

In my current role at Olympus, I am actively involved in predicting and analyzing large datasets, contributing to the organization's data-driven decision-making. My responsibilities encompass the entire data science lifecycle—from cleaning and processing raw data to developing predictive models that provide actionable insights. I also work extensively with Azure AI/ML, where I create automated machine learning pipelines using Python SDK v2 to optimize workflow and enhance predictive capabilities.

I built an online store with Django and Next.js, and used Redis for caching. I containerized the app with Docker and deployed it on Hostinger with Nginx. I configured the domain and SSL with Natro.com.

I was a mentor for students who needed extra help with their studies. I taught additional classes, explained difficult topics, and prepared them for tests and exams. I tailored my teaching methods to each student’s needs and preferences. I was one of the most sought-after mentors, ranking in the top 5 among all mentors.

I volunteered to teach a group of students the basics of computer literacy. I covered topics such as computer hardware, software, office applications, and cloud services. I helped the students develop their skills and confidence in using computers.