Fitria Nur Aida

Designed and implemented a centralized data warehouse in BigQuery with automated ETL using Fivetran, integrating multiple data sources. Built interactive dashboards with Looker Studio and established reporting cadence for evidence-based program performance tracking.

Volunteered with GDG Cloud Surabaya, including speaking and delivering technical sessions on data science and dashboarding. Also delivered a session on BigQuery ML and Vertex AI and coordinated speaker relations for DevFest Cloud Surabaya 2025.

Advised C-suite and department heads by translating complex datasets into actionable business insights. Led and mentored a 15-person BI division and oversaw delivery of 40+ analytics projects, while architecting data pipelines for financial and strategic business reporting.

Handled end-to-end execution of flagship community events, including budgeting, marketing strategy, logistics, and speaker acquisition. Also served as a technical speaker delivering workshops and seminars/webinars.

Guided multiple student cohorts through the data science lifecycle with technical tutoring and hands-on mentoring. Delivered training and project guidance covering business understanding, Git, SQL, Python, data processing, statistics, data visualization, and machine learning.

Delivered multiple data science and analytics courses to large student groups, focusing on bridging theory and business impact. Taught topics including time series forecasting, machine learning, categorical statistics, and statistical testing.

Taught an intensive module connecting academic concepts to industry implementation by guiding students through the end-to-end data science lifecycle. Covered ML/DL/AI foundations, market basket analysis, A/B testing and statistics, data acquisition, NLP and sentiment analysis, and dashboarding with Python and Looker Data Studio.

Delivered tutoring sessions focused on SQL queries to help students strengthen their data science skills as part of the Studi Independen Kampus Merdeka program.

Designed, created, and delivered Business Intelligence course materials for a Studi Independen Kampus Merdeka program batch.

Led data analytics projects across multiple sectors, delivering insights through analysis, visualization, interpretation, and data storytelling. Supported actionable decision-making and operational optimization through end-to-end analytics work.

Scaled the BI division by defining roles and end-to-end BI workflows to support data-driven requests. Managed 9 BI analysts and coordinated cross-functional collaboration between BI and department heads for analytics execution.

Co-founded the BI function, establishing data governance (ERDs) and scaling the BI team. Led Tableau adoption, dashboarding, A/B testing, market basket analysis, and supply-chain analytics improvements.

Performed ETL and exploratory data analysis to generate actionable insights. Built dashboards, designed ERDs, and developed automation workflows and APIs using Scrapy/BeautifulSoup, Selenium, Airflow, FastAPI, and Flask.

Served as an on-screen presenter for data science learning videos as part of educational content development.

Supported BI and analytics projects by preparing and analyzing datasets and building interactive dashboards to communicate insights. Contributed to delivering analytics outputs for business stakeholders.

Assisted in designing training programs, including curriculum development and creation of training materials. Coordinated training logistics and supported trainers during sessions.

Grade: Cumlaude, GPA 3.79/4.00

Completed a 1.5-year full-time Magister of Technology Management program (Business Analytics specialist) at ITS, graduating cum laude with GPA 3.79/4.00. Coursework included statistics, survival analysis, data analysis, data mining, programming, machine learning, and related management subjects.

Grade: Cumlaude, GPA 3.77/4.00

Completed a 3.5-year full-time Bachelor of Statistics program at ITS, graduating cum laude with GPA 3.77/4.00. Coursework covered statistics, survival analysis, data analysis, data mining, programming, and machine learning.