My professional story began with an investigation of non-volatile transistor memory cells in electronics. Later, recognizing its potential social impact, I shifted my focus to biomedical engineering. There, I devoted about six years to researching mechanical circulatory support technology designed for patients with end-stage heart failure. During that time, I developed a cardiovascular system model to simulate interactions with circulatory support in different heart failure conditions and came up with a method to build blood pump models for the physiological control of circulatory support. This research resulted in the publication of 17 scientific papers, contributed to securing three long-term applied research programs, and culminated in the defense of a PhD thesis. My background enhanced my skills in mathematical modelling and optimization using Python programming language, and gave me hands-on experience with complex long-term projects, laying a foundation for success in my data science role.Working in data science has unintentionally improved my soft skills, as collaboration with cross-functional teams requires considerable ability and effort to communicate results effectively, ensure proper implementation and use of machine learning solutions, and complete projects despite a series of failures. It has certainly enhanced my analytical, programming, and machine learning skills. These range from daily SQL use - including collection, preliminary analysis, and feature engineering - to employing feature selection techniques and gradient boosting, all complemented by efficient Python code.Currently, I apply these skills to combat fraud at T-Bank, protecting clients' finances and reducing the company’s losses. Over the course of four years, I have gained a deep understanding of the trade-offs inherent in machine learning solutions in this domain, in addition to working with various fraud schemes and gaining financial data literacy. I find this work fascinating and I am eager to grow my career in this field. I am currently open to job offers from international companies focused on financial fraud prevention using modern machine learning techniques on a large scale. I am ready to relocate, and visa sponsorship is required.If you’ve read this far, I suggest you connect with me whether you are interested in fraud prevention or in data science in general. After all, two heads are better than one, and it's more fun together. ----- Medium: https://medium.com/@dspetukhov- Github: https://github.com/dspetukhov- Telegram: @dspetukhov