Chirayu Mahar

I am a data analyst and data engineer who builds scalable ETL pipelines, predictive models, and executive dashboards to turn data into business outcomes. I have delivered production-ready analytics using Snowflake, Spark, Kafka, and BI tools to improve decision-making and operational efficiency.

My work includes engineering feature-rich datasets and optimizing analytic queries — for example, reducing query runtimes from minutes to seconds and improving screening efficiency by 55%. I have applied models (XGBoost, Prophet, Cox PHM) and explainability (SHAP) to produce measurable impacts like projected readmission reductions and revenue uplifts.

I bring hands-on experience in SQL optimization, data modeling, CI/CD tooling, and monitoring, and I focus on reliable, repeatable analytics solutions that scale. I seek roles where I can combine data engineering and analytics to drive product and business decisions.