Data Analyst with 4+ Years of Experience

GAYATHRI BAISA

***************@*****.*** +1-618-***-****

PROFESSIONAL SUMMARY

Data Analyst with 4+ years of experience analyzing large, unstructured datasets and transforming data into meaningful insights and strategic recommendations that drive data-driven organizational decision-making. Highly proficient in SQL (complex queries, performance tuning), Power BI, Tableau, Python, and Advanced Excel

(pivot tables, formulas, data modeling) for data analysis, statistical inference, pattern recognition, and data visualization. Proven ability to collect, clean, and validate data from multiple internal data sources, identify data gaps, improve data quality, and communicate findings compellingly to non-technical audiences and senior leaders, including finance and insurance domain experience at Citigroup, supporting data strategy and roadmap development.

SKILLS

• SQL & Database: SQL (Complex Queries, Performance Tuning), Database Design, Data Modeling Concepts, Oracle, SQL Server, PostgreSQL, MySQL

• Reporting & Visualization: Power BI, Tableau, Reports & Visualizations, Strategic Recommendations, Data Storytelling

• Advanced Excel: Pivot Tables, Formulas, Data Modeling

• Data Analysis & Statistical Inference: Large Unstructured Dataset Analysis, Pattern Recognition, Trend Identification, Statistical Inference, Data Manipulation, A/B Testing, Inferential Statistics, Cost-Benefit Analysis

• Data Collection, Cleaning & Validation: Data Collection, Data Cleaning, Data Validation, Data Accuracy

& Reliability, Golden Record Data

• Data Quality & Workflow Improvement: Data Quality Standards, Identifying Data Gaps, Workflow Process Improvement, Critical Field Capture, Data Audits Between Databases

• Data Integration & Logic Development: Multiple Internal Data Source Integration, Data Ingestion, Logic for Data-Driven Insights, Roadmap Development

• Documentation: Data Definitions, Methodologies, Assumptions, Process Documentation

• Methodologies: Agile, Scrum, Lean, Ad Hoc Analysis, Data Strategy, Business-Focused Mindset

• Programming: Python (Pandas, NumPy, Scikit-learn), R, ETL/ELT Pipelines, Apache Airflow, Alteryx WORK EXPERIENCE

Senior Revenue Cycle Analyst Cigna Healthcare Chicago, IL Jul 2025 to Present

• Resolved data incidents by querying multiple source systems using SQL, Python (Pandas, NumPy), and Apache Spark, updating records to correct discrepancies across claims, patient utilization, and eligibility platforms, improving operational performance by 20%.

• Applied specialist quality data standards to healthcare records, collecting, cleaning, and validating data from multiple clinical, actuarial, and third-party sources using Apache Airflow and Informatica, ensuring progress toward golden record data quality across enterprise analytics platforms.

• Validated data accuracy across systems by identifying data gaps and developing improved workflow processes to capture critical fields across claims and eligibility systems, reducing reporting latency by 30% and supporting data strategy and roadmap development.

• Translated business questions into data analysis and communicated findings through Power BI and Tableau dashboards and strategic recommendations, presenting complex information clearly to non-technical audiences and senior leaders across clinical operations and finance.

• Applied A/B testing, inferential statistics, and cost-benefit analysis using Python (Scikit-learn, XGBoost) to support fraud detection and patient risk stratification, delivering actionable items for process improvements and automation that improved decision-making accuracy by 18%.

• Partnered with business, product, and technology teams to document data definitions, methodologies, and assumptions, supporting strategic initiatives and integrating multiple internal data sources to develop logic for data-driven insights.

Data Analyst Citigroup Chicago, IL Jul 2024 to Jun 2025

• Performed complex analysis, including analytical modeling on large-scale financial transaction and digital banking datasets using SQL, Python, Excel (VBA), and Tableau, assessing and quantifying business impact of customer churn, loan performance, and revenue trends to drive strategic improvements and improve outcomes by ~20%.

• Developed automated reporting around key business drivers using Power BI, Tableau, and Python scripting, synthesizing analytical findings to recommend process improvements and drive continuous improvement in operational efficiency while reducing manual reporting effort by ~30% through automation and VBA equivalent workflows.

• Broke down complex operational problems into digestible pieces using SQL and Access equivalent database tools, developing robust analytical approaches that challenged status quo operations and identified transformative change opportunities across payments, lending, and customer systems.

• Created and maintained project plans, prepared and led project updates to senior leadership and business stakeholders, managing own resources and time effectively across multiple simultaneous analytical initiatives while partnering with leaders across retail and commercial banking teams and external vendors.

• Communicated complex ideas in a simple, easily digestible manner to a range of audiences, including senior leaders, by delivering PowerPoint presentations and Tableau executive dashboards while translating quantitative findings into clear business recommendations aligned with organizational continuous improvement priorities. Data Analyst Deutsche Börse (via Cyber Heights Software Technologies Pvt Ltd) Hyderabad, India Jul 2022 to Jul 2023

• Performed complex analysis, including analytical modeling on trading, settlement, and compliance datasets using SQL, Apache Spark, and Tableau, assessing and quantifying business impact of operational and regulatory performance efforts while reducing manual reconciliation errors by ~25% and driving measurable revenue cycle improvements.

• Developed automated reporting around key business drivers using Power BI, Tableau, and SQL scripting, synthesizing analytical findings to recommend strategic and process improvements across exchange operations and challenging the status quo by identifying transformative change opportunities in compliance reporting (MiFID II, EMIR).

• Created and maintained project plans, prepared and led project updates to key stakeholders across operations, compliance, and finance teams, managing resources and time aligned to priority and value of work while partnering with leaders across multiple internal teams and external vendors.

• Communicated complex ideas in a simple, easily digestible manner to senior leaders and non-technical audiences through clear oral and written communications using PowerPoint and Tableau dashboards to influence change and drive results across operational and regulatory improvement initiatives. Data Analyst Merck Sharp & Dohme Hyderabad, India Jun 2020 to Jun 2022

• Performed complex analysis, including analytical modeling on enterprise healthcare and clinical datasets using SQL, Python, R, and Excel (VBA), assessing and quantifying business impact of pharmacovigilance, clinical trial, and revenue cycle initiatives while supporting FDA reporting, HIPAA compliance, and commercial sales analytics objectives.

• Developed automated reporting around key healthcare business drivers using Tableau, Power BI, and QlikView, synthesizing analytical findings to recommend strategic and process improvements in clinical operations, supply chain, and commercial revenue functions while driving continuous improvement in data accessibility and regulatory compliance.

• Broke down complex revenue cycle and healthcare operations problems using SQL and Access equivalent database tools, developing robust analytical approaches that quantified business impact and identified transformative change opportunities across EMR, LIMS, and supply chain platforms.

• Created and maintained project plans for clinical analytics initiatives, communicating complex ideas clearly to senior leaders and non-technical clinical stakeholders through PowerPoint presentations and executive dashboards while managing own resources and time effectively across multiple simultaneous projects. EDUCATION

Master's in Computer Science Aug 2023 – May 2025 Southern Illinois University - Carbondale, Illinois CERTIFICATIONS

• Google Professional Data Analytics Certificate - Google

• Microsoft Certified: Power BI Data Analyst Associate - Microsoft

• Snowflake SnowPro Core - Snowflake

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