Position: Data Analyst
Category: Data Analyst
English level: fluent
Years of experience: 3


DATA ANALYST | REALYSE, United Kingdom (Feb 2023 - Present)
-  Collaborated on a project to build ML model which generates a percentage likelihood to close a lead, this in turn increased sales conversions and revenue generation.
- Automated a data pipeline using Python and Airflow which extracts leads data from Salesforce and uploads predicted scores back to Salesforce, this runs weekly and has enabled the marketing and sales team work with the data efficiently.
- Created, analyzed and presented reports in Tableau to forecast revenue generation for subsequent months.

DATABASE ANALYST | THE DIFFERENCE, Scarsdale, NY (Feb 2022 - January 2023)
- Automated data gathering process by scouring the internet for free nutrition and activity data with Python while maintaining excellent attention to detail.
- Formatted already existing data in the database by using Data Manipulation Languages in SQL.
- Assessed and adjusted quickly to changing priorities ranging from data acquisition, mining, analysis, integrity and reporting
- Performed tasks with less direct management oversight and provided weekly updates to the team. 
- Compiled data from various sources and entering it into computer databases for storage and retrieval.