Meruyert Alimaganbetova

Delivered end-to-end KPI dashboards for 3 departments and automated workflows, saving 40+ hours of manual effort. Led the full analytics lifecycle and architected scalable data models and reusable datasets.

Boosted ML model accuracy by 7% through feature engineering and iterative experimentation. Collaborated with a 5-person engineering team to deliver ML-driven recommendations for production optimization.

Delivered 30+ Power BI reports and reusable datasets for 9 business units, integrating data from real-time systems, SQL databases, and APIs. Built and deployed a Streamlit planning tool that contributed to a 10% cost reduction.

Led requirements gathering for an enterprise SharePoint intranet, translating stakeholder needs into functional specs and supporting rollout and adoption, contributing to a ~$50K launch.

Collaborated with a software engineering team to build and support data-driven healthcare applications, contributing to database design, SQL querying, data validation, and backend testing.

Completed the Snowflake Data Engineering specialization on Coursera in 2026.

Grade: 100

Activities and societies: Power BI

Earned the Power BI Data Analyst Associate certification from Microsoft in 2021.

Participated in the Recurse Center programming retreat in Brooklyn, NYC, in 2023.

Completed the Machine Learning Specialization from DeepLearning.AI in 2023.

Earned the Azure Fundamentals certification from Microsoft in 2023.

Master of Science in Computational Neuroscience and Cognitive Neuroscience from Eotvos Lorand University, Budapest, Hungary, from 2018 to 2020.

Bachelor of Science in Computer Science from Nazarbayev University, Astana, Kazakhstan, from 2014 to 2018.