Alexandra Marsek

Background

About Alexandra Marsek

With over four years of experience in data science, I am passionate about finding innovative solutions to complex business problems using cutting-edge technologies and analytical methods. My field of expertise is natural language processing (NLP), which I use to create models that increase profitability and customer satisfaction for What If Media Group, a leading digital media company. I also have strong skills in communication, marketing mix modeling, and data collection, which enable me to collaborate effectively with various stakeholders and deliver actionable insights. I am motivated by the mission of What If Media Group, which is to provide personalized and engaging content to millions of users across multiple channels. I value the culture of creativity, learning, and teamwork that the company fosters, and I strive to contribute to its growth and success. As a Data Scientist, I lead data science projects for the various teams, where I implement neural networks and regression analysis models to optimize the performance and efficiency of the campaigns. I also developed an NLP cosine similarity model that increased profitability by matching the best offers to the users based on their preferences and behavior. Additionally, I created and deployed AWS kinesis stream sending systems that improved the click-through rates and user retention rates. Furthermore, I migrated the workflows from Apache Airflow to Databricks, enhancing the scalability and reliability of the data pipelines. I also taught a company-wide weekly SQL course across multiple teams, sharing my knowledge and best practices with my colleagues. Through these projects, I demonstrated my ability to apply my technical and analytical skills to deliver high-quality results and value to the company.