- Initiated and maintained the first dbt project in FishingBooker, used for building light dimensional models and golden layer datasets.- Built an ETL and data infrastructure for SEO experiments with Causal Impact Analysis, using Python and PySpark on Databricks.

As a Data Analyst in the newly formed Data team in FishingBooker, some of my projects were:- Apache Superset dashboard for user journey analysis through event funnels, with integrated A/B test experiment analysis, built using templated SQL datasets and Snowflake UDFs.- ETL for all paid online marketing platforms (Google Ads, Bing, Facebook, etc.) utilizing their API services through Python in Databricks, storing data in Snowflake, and displaying it on a Superset dashboard.- Created a Python package called basecampapi - a wrapper for Basecamp API used for automating reporting on Basecamp.- Oversaw migration from Universal Analytics to Google Analytics 4.

As a Market Research Analyst in the Business Development team, my role included:- Analyzing market conditions and partner performance in the fishing charter industry- Lead research and generation- Building automated reports and dashboards- Tools used: MySQL, Google Sheets, Google Apps Script, Google Data Studio

As a Customer Service Representative at Contact Service, I was employed by muv, inc., a USA-based luxury ground transportation company. My responsibilities included a mix of resolving client issues, sales, and providing logistical support for ground transportation. Besides learning about data manipulation in Microsoft Excel, this role allowed me to perfect my English language skills to a near-native proficiency.