Data Scientist

played an integral role in the etl (extract, transform, load) processes, ensuring seamless integration of diverse data sources into the analytics platform. supported the overall development of the project's analytical framework, leveraging expertise in data analytics and industry best practices to drive sales optimization initiatives.

collected and analyzed dns data to detect dns tunneling. helped with the email security project.

developed a cross-platform system to collect clean and labeled networking data thus speeding the process by at least 3x. evaluated 50+ research papers on our problem and implemented 2 papers that might be a solution. create visualizations to get a better idea about data to determine preprocessing steps and a machine learning model. used clustering algorithms to improve the classification model's success. mentored interns on data collection, model training, and testing the results.

analyzed the business problem and made a proposal to train a classification model instead of a regression model. generated synthetic data to solve unbalanced data problems. visualized the data to find the root cause of the failure parts in the production. deployed a model to the production.