Headline

Data Analyst | Turning Complex Data into Business Insights | Python, SQL, Power BI, Tableau | ETL & Predictive Analytics | Open to Work

Location

Jackson

Work experience

Data Analyst at Cigna Healthcare, Jul 2025 - Present · 11 mos, TN, United States, • Engineered scalable end-to-end data pipelines using Python, SQL, and PySpark to process high-volume healthcare datasets, improving data reliability and enabling consistent reporting across clinical, operational, and finance teams • Designed and deployed enterprise-grade Power BI dashboards integrating multi-source datasets, enabling real-time KPI tracking and enhancing executive decision-making visibility across utilization and cost metrics • Developed and validated predictive models for risk stratification and utilization forecasting using scikit-learn, improving forecast accuracy by 15% and supporting data-driven intervention strategies • Architected automated ETL workflows using Apache Airflow and dbt, standardizing transformation logic and reducing manual reporting dependencies by 30% while improving pipeline maintainability • Performed complex analytical queries on Redshift and PostgreSQL using advanced SQL techniques (CTEs, window functions, query optimization), supporting high-impact ad hoc and recurring analytics • Built and executed A/B testing frameworks and statistical experiments to evaluate program effectiveness, enabling business teams to prioritize initiatives based on measurable performance outcomes

Data Analyst at Infinite Infolab, Jan 2020 - Jul 2023 · 3 yrs 7 mos, India, • Delivered end-to-end analytics solutions across finance, retail, and operations domains by transforming raw datasets into structured insights using Python, SQL, and advanced Excel modeling techniques • Developed interactive and scalable Power BI dashboards for executive stakeholders, reducing reporting turnaround time by 35% and improving visibility into business performance metrics • Designed and maintained ETL pipelines for structured and semi-structured data ingestion, ensuring high data integrity and supporting downstream analytics and reporting systems • Applied statistical modeling and machine learning techniques (regression, classification) to identify patterns, anomalies, and business opportunities, improving analytical accuracy by 20% across projects • Contributed to ML workflows by building and tuning models using scikit-learn, improving model performance during validation, and enabling more accurate predictive insights • Collaborated with cross-functional teams in Agile environments to translate business requirements into technical solutions, ensuring alignment between analytics outputs and business KPIs

Education

Master of Science - MS, Computer and Information Sciences, General, Trine University

Bachelor's Degree, Computer Programming, Specific Applications, Dharmsinh Desai University