Position: Data Analyst, Data Science
Category: Data Analyst
English level: fluent
Years of experience: 2.5


I have been working as a Data Scientist/Analyst for PUBLICIS MEDIA since March 2021, where I have contributed significantly to several projects for global brands in Europe and North America. My expertise includes statistical analysis using SQL, Catboost Regression, and Shapley values, which have resulted in an impressive 80% accuracy in identifying web features that drive business. 

During my time at CYBERNET in Almaty, Kazakhstan, from October 2021 to March 2022, I specialized in NLP and ASR. I improved language models by reducing Word Error Rates (WER) for both Kazakh and Russian languages. Furthermore, I created a text emotion recognizer with an impressive 87% accuracy rate and developed a Named Entity Recognition system with 75% accuracy. 

As a Data Science Intern at WATCHOUT!AI from March 2021 to September 2021, I conducted research and developed NLP models to address brand safety issues. I built an emotion classifier from scratch using Python and BERT NLP framework, resulting in a 46% increase in prediction accuracy. This model is currently used in Watchout!AI's frontend demo app. Additionally, I integrated this model as a microservice into the application. My work also involved sentiment classification using ru-GPT with an 82% accuracy rate. I contributed significantly to the data team by providing thorough Exploratory Data Analysis on various datasets.
-Alcohol and Gambling
-Bank (Credit Scoring)
-Unlawful Entertainment (Bar,clubs and so on)
-Tobacco and Harmful Substances
- Deceptive Practices (Any form of business that involves fraud, deceit, or dishonesty)
- Exploitation (Businesses that exploit workers or engage in unfair labor practices)
-Weapons and Armaments