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Yashwanthi Murjani

@yashwanthimurjani

Data Analyst at Cleveland Clinic who automated analytics pipelines and cut ad-hoc reporting requests by 40%.

At Cleveland Clinic, I analyze transactional and operational data and build automated pipelines with SQL, Python, and Apache Airflow. My work contributed to a 4% revenue increase through improved data-driven decision-making.

I developed standardized datasets, reusable SQL logic, and self-service dashboards that reduced ad-hoc reporting requests by 40%. I also analyzed user behavior and operational metrics, supporting an 8% improvement in conversion-related KPIs.

At Accenture, I built ETL/ELT pipelines and analytics-ready data models, helping reduce data redundancy by 20% and improve reporting accuracy from 40% to over 95%. At Capillary Technologies, I analyzed retail and customer engagement data, with SQL-based rules and statistical analysis contributing to a 17% reduction in risk events.

Experience

Work history, roles, and key accomplishments

Current

Data Analyst

Current

Cleveland Clinic

Sep 2025 - Present (1 year 1 month)

Analyzed large-scale datasets to improve data accuracy and business reporting, contributing to a 4% revenue increase. Built and automated data pipelines using SQL, Python, and Apache Airflow, and reduced ad-hoc reporting requests by 40% through standardized datasets and self-service dashboards.

SQL Python Airflow Redshift Presto Power BI Microstrategy Data Pipelines Data Quality KPI development

Data Analyst

Accenture

Aug 2021 - Aug 2023 (2 years)

Supported analytics initiatives across marketing, operational, and financial domains. Designed and optimized ETL/ELT pipelines using Apache Airflow, DBT Cloud, Python, and SQL, and developed centralized data models that reduced data redundancy by 20% and improved reporting accuracy to over 95%.

SQL Python Airflow Dbt Cloud BigQuery Snowflake Redshift Tableau Looker ETL Data Modeling Exploratory Data Analysis

Data Analyst

Capillary Technologies

Oct 2020 - Jul 2022 (1 year 9 months)

Supported data-driven decision-making for retail and customer engagement by analyzing campaign, transaction, and customer behavior data. Built recurring reports using SQL and BI tools, and reduced risk events by 17% through SQL-based rules and statistical analysis.

SQL BI Tools RFM Analysis Demand Forecasting Basket Analysis Statistical Analysis Data Validation KPI Tracking

Education

Degrees, certifications, and relevant coursework

Indiana Wesleyan University

Master of Science, Management Information Technology Management

2023 - 2025

Master of Science in Management Information Technology Management Specialization from Indiana Wesleyan University, Marion, USA, from August 2023 to August 2025.