Rana muqeet

I’m a Senior Data Analyst (“MLE Bench – Data Analyst”) with over 7 years of experience in data analysis and machine learning. I use Python and SQL, plus statistical analysis, to validate data quality and consistency and turn complex datasets and ML outputs into data-driven decisions.

At MediFlow Technologies, I analyze structured and unstructured datasets from ML training and evaluation pipelines to improve model performance. I develop and validate evaluation metrics, write and execute Python/SQL analytics for reporting and evaluation workflows, and collaborate with ML engineers to design real-world evaluation scenarios. I also implement monitoring to track evaluation metrics and model performance, strengthening decision-making with clear analytical artifacts.

Previously at InventiCare Systems, I conducted data analysis for healthcare operations, including messaging automation and scheduling workflows to improve operational efficiency. I build analytical Python code for large datasets, ensure data quality and consistency in reporting, and partner with cross-functional teams to integrate insights into product features. I also create evaluation metrics to support continuous improvement.

Earlier, as a Junior Data Analyst at NexaByte Solutions in Lahore, I supported backend data processing workflows with a focus on data quality and consistency. I developed SQL queries for dataset insights, helped create analytical reports and dashboards for key KPIs, and gained exposure to machine learning concepts and evaluation workflows through team-supported data-driven decision-making. I hold a Bachelor of Science in Computer Science (BSCS) from COMSATS University Islamabad.