Nikita Druzhinin

I hold a Master’s degree in Data Sciences & Business Analytics from ESSEC—ranked among the top three globally by QS in 2021—which provided me with a strong foundation in advanced analytics, machine learning, big data, and forecasting, as well as proficiency in R, SQL, and Python.

During my master’s program, I completed several academic projects that further honed my technical skills, such as:

• Reinforcement learning project: Developed and demonstrated a deep reinforcement learning algorithm for cryptocurrency trading using a custom environment (Python)

• Marketing projects: Built and presented algorithms for predicting marketing campaign success using MySQL for database analysis and R

• Machine learning in network science: Developed an anime recommendation system based on the My Anime List dataset using network science ML algorithms (Python)

• Additional projects: Ensemble learning, forecasting, deep learning, and hackathon participation.

In addition to my academic credentials, my professional experience at Gett and Artefact has solidified my expertise as a data professional. At Gett, as one of only two mobile app analysts, I tracked app performance through detailed data analysis and A/B testing, which improved user engagement (saved rides annually) and satisfaction.

At Artefact, in my role as Data Analytics Manager, I led several targeted projects that directly supported business decisions. In one initiative, I spearheaded the design and implementation of a comprehensive data quality assessment tool. By collaborating with key stakeholders, I identified critical data elements and established over 1,000 robust business and technical data quality rules. Leveraging these, I built a Python-based solution that automatically monitored and addressed data quality issues, resulting in a more than 20% improvement in overall data quality.