Summary
Dinda Calista is a data science and product analytics leader with 10 years’ experience turning complex data into product and marketing impact across startups, unicorns, and big tech in Europe and Asia. Currently at Meta, she partners with engineers and cross-functional teams to set direction, prioritize experiments, and translate analytics into measurable product growth. Her background spans SEM bidding and attribution to retention, CLV, and monetisation—built on a strong engineering toolbox (SQL, Python, Spark, BigQuery, dbt) and production experimentation frameworks. She has repeatedly built tracking, pipelines, and self‑service dashboards from scratch to scale decision-making, and led projects that improved SEM efficiency and subscription stickiness. Notably comfortable bridging product strategy and technical execution, she pairs a UCL MSc in Business Analytics with hands‑on experience shipping analytics-driven features and tooling.
10 years of coding experience
5 years of employment as a software developer
University College London
Bachelor's Degree, Information System and Technology, 3.52 (Cum Laude), Bachelor's Degree, Information System and Technology, 3.52 (Cum Laude) at Institut Teknologi Bandung (ITB)
Summer Program, Business Administration and Management, General, Summer Program, Business Administration and Management, General at Audencia