Venkata Aaduru
Data Scientist @Cigna Healthcare
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WORK HISTORY
Data Scientist @Cigna Healthcare
Partnered with clinicians, actuaries, and product owners in an Agile framework to operationalize predictive analytics, compressing sprint delivery cycles by 2 weeks per iteration while aligning advanced risk models with care strategies. Engineered Random Forest and XGBoost ensembles to identify patient compliance gaps across 50K+ beneficiaries, lowering hospital readmissions by 10% and improving reimbursement accuracy. Designed generalized linear models for healthcare claims forecasting, achieving >$2M in annual savings through optimized claim adjudication workflows. Deployed A/B testing pipelines for multi-channel outreach campaigns, leading to 1,200+ incremental patient engagements per month and measurable gains in patient satisfaction indices. Oversaw ingestion and preprocessing of 1.5M+ patient records, implementing scalable data validation routines in Pandas and Spark, ensuring high-fidelity datasets for production modeling. Delivered executive-level Tableau dashboards visualizing treatment outcomes, enabling 10+ leadership stakeholders to refine care strategies and reduce avoidable costs. Collaborated with data engineers to optimize MySQL-to-S3 pipelines, reducing batch retrieval latency by 3+ hours and improving system throughput.
EDUCATION
University of South Florida
Master of Science - MS
Amrita Vishwa Vidyapeetham
Bachelor of Technology - BTech
ABOUT VENKATA AADURU
Data Scientist with 4 years of experience in healthcare and financial analytics, delivering actionable insights through machine learning, data visualization, and optimized data pipelines. Proficient in Python, SQL, and Tableau, with expertise in building predictive models and collaborating with cross-functional teams to drive business outcomes, including cost savings, enhanced customer engagement, and improved educational analytics.
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