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Saitej Sagi - Data Analyst

[email protected]

Location: St Louis, Missouri, USA

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SAITEJ SAGI St. Louis, MO | (314) 886-1788 | [email protected] OBJECTIVE Data Analyst with 4+ years in healthcare and finance analytics, specializing in data modeling, extraction, and visualization using Python, SQL, R, Power BI, Tableau, and cloud platforms (AWS, Azure). Seeking full-time data analyst roles. EDUCATION Webster University Master s, Information Technology and Management Aug 2022 May 2024 Coursework: Artificial Intelligence, Cloud Computing, Machine Learning, Software Engineering Jawaharlal Nehru Technological University Bachelor of Engineering, Computer Science Aug 2016 May 2020 Coursework: Data Structures, OOP, Database Management, Artificial Intelligence, Data Analytics SKILLS Languages & Tools:Python (Pandas, NumPy, Seaborn, Scikit-learn, Matplotlib), R, SQL (Window Functions, CTEs, Joins, Stored Procedures, Query Optimization), Git, GitHub, APIs (REST/JSON), SAS, SPSS, SAP HANA Data Engineering & Warehousing:Snowflake, BigQuery, Redshift, MySQL, SQL Server, Oracle, MongoDB, DuckDB, Delta Lake, Databricks, Great Expectations Cloud Platforms:AWS (S3, Redshift, Athena, Lambda), Azure, Google Cloud (BigQuery, Cloud Storage) BI & Visualization:Power BI, Tableau, Looker, Power BI Service, Excel (Pivot Tables, Macros, VBA), KPI Dashboards Workflow & Pipelines:dbt, Apache Airflow, ETL (SQL + Python), SSIS Statistical & ML Techniques:Regression, Classification, Clustering, Time Series, A/B Testing, Hypothesis Testing, Experiment Design, Descriptive Statistics, AutoML tools Development & Workflow Tools:Jupyter, VS Code, MS Visio, Agile/Scrum, CI/CD (GitHub Actions), SDLC Soft Skills:Data Storytelling, Problem-Solving, Stakeholder Communication, Collaboration, Critical Thinking, Data Governance Certifications: AWS Certified Cloud Practitioner, AI Practitioner EXPERIENCE Cardinal Health USA Jul 2024 Present Data Analyst Utilized Python libraries such as Matplotlib and Seaborn to automate data visualizations, reducing reporting time by 60% for the Quality team and providing timely insights into Behavioral Health and Pharmacy metrics. Extracted and transformed data from MySQL databases, integrating multiple data sources to ensure accuracy, enabling informed clinical decision-making, and supporting key healthcare initiatives such as Member Engagement and Clinical Performance. Developed and deployed interactive Power BI dashboards to track healthcare KPIs, leading to a 25% reduction in patient wait times and a 12% improvement in first-call resolution, thereby improving operational efficiency. Created and maintained Advanced Excel dashboards using Macros, VBA, VLOOKUP, and Pivot Tables to track essential KPIs, providing valuable insights that supported the alignment of Quality strategies with business objectives. Leveraged MS Visio to design process flow diagrams, improving stakeholder understanding of healthcare workflows and contributing to more efficient project execution and operational improvements. Implemented Agile methodologies for healthcare application development, aligning project deliverables with Medicaid compliance, while leveraging AWS for cloud-based data solutions, increase in revenue by addressing patient and provider needs more effectively. Designed optimized SQL queries using window functions and CTEs to streamline reporting processes, improving query performance by 40%. Built a data pipeline using dbt for modeling and Airflow for orchestration, automating ETL processes in Snowflake and BigQuery environments to handle large-scale healthcare datasets efficiently. Utilized Databricks for collaborative data analysis and transformation, integrating with Delta Lake for reliable data versioning and governance in cloud-based workflows. Infinite Infolab India Jun 2019 Jan 2021 Data Analyst Partnered with cross-functional teams to design and deploy Predictive Models analyzing Claims Data and Patient Records, leveraging Regression Analysis to identify trends in Readmission Rates, ultimately improving Patient Outcomes by 15%. Built and maintained ETL pipelines using SQL and Python to extract, transform, and load Clinical Data from EHR (Electronic Health Records) and Pharmacy Data into a centralized data warehouse, improving data quality and processing efficiency by 30%. Conducted Time Series Analysis on Population Health Data to identify seasonal health trends, developing actionable insights for Cost Analysis and Utilization Rates, resulting in a 20% reduction in unnecessary hospital admissions. Analyzed Patient Satisfaction Scores and feedback from Patient Records, using statistical methods and Descriptive Statistics to identify key areas for improvement, leading to a 10% increase in patient satisfaction metrics. Developed Clustering models on genomic data, identifying key patient segments, which enabled targeted interventions and reduced Length of Stay (LOS) by 12%. Collaborated with data privacy and compliance teams to ensure HIPAA Compliance and adherence to Data Privacy regulations, including GDPR (where applicable), securing patient data and safeguarding sensitive healthcare information. Designed and executed SQL queries to clean, merge, and transform datasets from multiple healthcare systems, ensuring consistency across platforms and reducing data discrepancies, which enhanced decision-making efficiency by 40%. Developed interactive dashboards in Tableau to visualize CRM data, enabling stakeholders to track patient engagement trends, optimize clinical workflow, and enhance patient outreach strategies based on real-time insights. Keywords: continuous integration continuous deployment artificial intelligence machine learning business intelligence sthree rlang microsoft Missouri