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

I have completed various projects, including transforming diverse datasets into a unified, user-readable format. I optimized communication campaigns by closely collaborating with other data analysts and data hunter teams. As a Data Scientist, I developed and deployed machine learning models for antifraud projects. Additionally, I automated manual processes using SQL scripting and Python programming.

Throughout my work, I have utilized technologies such as Python, SQL, PySpark, Pandas, NumPy, Scikit-Learn, and TensorFlow. I am proficient in version control systems like Git and have experience in data visualization using tools like Power BI. Statistical analysis and A/B testing has been instrumental in my projects.

In my current role, I collaborate closely with cross-functional teams, including IT and Data teams. I am responsible for optimizing communication campaign decisions, generating insights through data analysis, and conducting A/B tests. My focus is on automating processes and continually improving the data science workflow.

I am committed to continuous improvement and seek to enhance my statistical analysis, predictive modeling, and A/B testing skills. I aspire to deepen my knowledge of machine learning techniques and explore areas such as natural language processing or deep learning. Balancing self-management and dynamic teamwork is an area I am keen on refining to contribute effectively to projects.

My experience demonstrates a strong foundation in data analysis, programming, and statistical methods. I have successfully completed diverse projects, utilized various technologies, and actively pursued growth opportunities to stay at the forefront of my field.
In my various roles, I have completed projects such as transforming datasets, optimizing communication campaigns, developing ML models, and automating processes. I have utilized technologies like Python, SQL, PySpark, Scikit-Learn, and TensorFlow. Currently, I am a Data Analyst and Scientist, collaborating with cross-functional teams to drive insights and improve the data science process. I strive to enhance my skills in areas such as statistical analysis, predictive modeling, and A/B testing. I am eager to contribute my expertise, learn new technologies, and continuously improve in delivering impactful solutions.