Azganush Poghosyan

● Applied NLP techniques for text classification, improving model accuracy by 10%.
● Systematized data collection and preprocessing tasks
● Actively engaged in collaborative problem-solving sessions, leading various data-related tasks.

• Collaborated with cross-functional teams to define key metrics and implement a robust reporting system.
• Developed a churn prediction model, leveraging insights for a customer health scoring system.
• Utilized dbt to transform raw data into structured models, significantly enhancing data quality across the organization.
• Analyzed user conversion and proposed adjustments to lead scoring, which improved the precision of targeting sales- qualified leads by 10%.

• Used statistical methods and analytical techniques on diverse external datasets to address research questions.
• Built SQL and Python scripts to perform data quality testing and profiling.