Victor Okon

Analytics Engineer @Babbel

Berlin, DE

Utilizing DBT (data build tool) to transform raw source event data into refined, business-critical data models, enhancing decision-making processes Developed advanced data models across multiple data marts and integrating diverse data sources, such as payment events, customer engagement, and external marketing data Automate the collection and integration of raw data from data.ai\'s API into Snowflake using Airflow, while enhancing data usability by applying business logic with dbt to facilitate strategic decision-making Acquire skills to build custom and generic tests that ensure quality monitoring of the dbt project Managing the Business Intelligence Analytics department\'s Tableau online space while ensuring easy location and update of reports and data sources Providing comprehensive dashboard reports to CRM teams on leads, upgrades, and extension tracking Project A: Developed a lead spam bot detection model using DBT toidentify and flag anomalous leads based on tracking UUIDs The model targets UUIDs registering more than 20 sign-upswithin one hour from the same IPv4 address, excludingB2B-related activities Significantly reduced data noise in downstream models,enhancing their accuracy and reliability, and safeguarding theintegrity of business analytics Project B: Created datastream to pull B2B data events from HubSpot toreport on B2B deals and engagement. Increased visibility of B2B business metrics amongstakeholders leading to better-informed businessdecisions to increase B2B revenue Increased test coverage of data models by 60% byadding singular and generic custom tests to proactively flag data discrepancies in models that would impact values in the BI tool

Babcock university

Bsc Microbiology, Microbiology, General

Berlin School of Business & Innovation (BSBI)

Msc Data Analytics, Data analytics