Position: Data Scientist
Category: Data Science
English level: upper
Years of experience: 5

Imo bronze medalist.
I am a highly skilled Machine Learning Engineer with a strong academic background in mathematics, having earned a master's degree. I have extensive experience working in diverse industries such as Finance, Telecommunications, and E-commerce. With my proficiency in Data Mining, Data Visualization, Algorithms and Data Structures, I am able to deliver solutions that meet business needs effectively. I have been recognized for my excellence in national and international mathematical olympiads. Two bronze medals on IMO competition.

My most recent research work involved a Graph-based self-supervised learning approach to unsupervised anomaly detection in multivariate time series, which was carried out over a year for Huawei. In my previous work experience, I have created risk, propensity, and churn models for several financial institutions, along with performing clients segmentation and clustering. In E-commerce, I have created similar products and provided recommendations for viewed products. My proficiency lies in working with classic Machine Learning algorithms such as Logistic Regression, Decision Trees, Random Forests, Boosting, and KMeans.

As an accomplished data analyst and visualizer, I have worked with industry-standard tools like Power BI, Tableau, and more, which enables me to provide insights and key metrics to stakeholders effectively.
I'm looking for a job where I can work with a strong team and develop both professionally and personally.