Akanksha Kidambi
Data Analyst @CVS Health
Signup · Get unlimited contacts
WORK HISTORY
Data Analyst @CVS Health
US
Analyzed 12M+ pharmacy claims using SQL and designed Power BI reports to identify medication usage patterns and inefficiencies, resulting in $1.1M in savings through optimized care management strategies.• Led A/B testing in R to evaluate medication adherence programs, significantly improving adherence by 17% and contributing to better long-term health outcomes and patient satisfaction.• Developed a predictive machine learning model in Scikit-learn to forecast patient relapse risks, enabling the care team to intervene 23% earlier, effectively reducing hospital readmissions and improving care coordination.• Created and deployed Power BI dashboards to track vaccination rates across 1,500+ clinics, significantly improving resource allocation by 60% and ensuring timely, data-driven responses during public health campaigns.• Utilized BigQuery to optimize complex queries, reducing reporting time for cost analysis by 40%, and enabling faster, evidence- based decision-making at the leadership and financial planning level.• Automated ETL processes using Apache Airflow, efficiently migrating data into Snowflake and cutting report preparation time by 90%(from 6 hours to 45 minutes), while improving overall data reliability and accessibility.• Processed prescription error data from prescriptions using Excel and Alteryx, identifying root causes and reducing prescription errors by 28%, thereby improving operational efficiency and patient safety standards.
EDUCATION
University of Illinois Springfield
Master's degree
ABOUT AKANKSHA KIDAMBI
Data Analyst with 3+ years of experience in predictive analytics and data mining, successfully driving $1.1M+ in savings and reducing reporting time by 40% through enhanced analysis pipelines. • Skilled in Python, R, and SQL, with hands-on expertise in Scikit-learn, Pandas, and NumPy, leading to improved model accuracy and significantly faster data processing across 10K+ datasets. • Proficient in designing and implementing scalable machine learning solutions using Apache Airflow, Snowflake, and BigQuery, reducing manual reporting efforts by up to 90% and increasing efficiency. • Strong in developing interactive visualizations with Power BI, Tableau, and Google Data Studio, enabling cross-functional teams to make data-driven decisions and improve resource allocation by 60%. • Experienced in applying statistical techniques like regression analysis, A/B testing, and clustering to uncover actionable insights, improving decision-making accuracy by 30% and reducing compliance issues by 22%.
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.