Hi, I’m
Saiteja Matta
Data Analyst
Naperville,Illinois
Summary
Experienced professional with 6 years in Healthcare, Financial, and Big Data industries. Skilled in uncovering insights and driving data-informed decisions. Strong foundation in statistical analysis and data modeling, with expertise in Python, SQL, and Excel. Committed to identifying trends and providing actionable recommendations to optimize performance and foster healthy customer relationships.
Overview
8
years of professional experience
1
Certification
4
Languages
Work History
AbbVie
Financial Data Analyst
07.2024 - Current
Job overview
- Utilized Power BI, advanced Excel, SQL, and Python for data analysis and visualization, uncovering trends, patterns, and correlations to drive actionable insights for Federal Sunshine reporting and business decision-making.
- Developed and deployed predictive models using Python libraries such as scikit-learn and pandas to forecast expense trends and identify potential compliance issues.
- Conducted in-depth analysis of financial datasets using SQL queries, advanced Excel functions (e.g., pivot tables, VLOOKUP, XLOOKUP), and machine learning algorithms to generate financial reports that optimized workflows and enabled data-driven cost-saving strategies.
- Collaborated with cross-functional teams and utilized APIs to integrate and validate data, ensuring accuracy and consistency in financial data related to Healthcare Professionals (HCPs) and Healthcare Organizations (HCOs).
- Designed and delivered interactive dashboards and analytics for senior management using data from AWS cloud services, SQL databases, and machine learning models, providing insights into expense patterns, compliance risks, and operational efficiency.
- Applied clustering and regression techniques to segment financial data and uncover anomalies, contributing to operational improvements and savings of over $10 million.
- Automated routine data processes and enhanced reporting accuracy by incorporating tools such as Jupyter Notebooks, NumPy, and matplotlib into analysis workflows.
MB MEDICAL PLLC
Data Analyst
10.2023 - 08.2024
Job overview
- Architected and implemented a scalable AWS infrastructure, streamlining medical records management by reducing data retrieval times by 40%, improving data accessibility, and ensuring 100% compliance with healthcare regulations.
- Managed AWS services, deploying EC2 instances and configuring S3 buckets, which enhanced data security and reduced storage costs by 25%.
- Leveraged SQL Server, Power BI, and DAX to analyze insurance compliance metrics, resulting in a 15% improvement in reporting accuracy and ensuring adherence to industry standards.
- Conducted comprehensive data validation and quality checks using Pandas, ensuring the integrity of datasets with over 2 million records by identifying and correcting errors in missing values, data types, and range formats, improving audit reliability by 30%.
- Designed and delivered dynamic dashboards and data visualizations in Tableau and Collabra, providing actionable insights into healthcare financial analytics. These dashboards facilitated a 20% faster decision-making process for senior management, driving operational efficiency and regulatory compliance.
Deloitte
Business Data Analyst
11.2016 - 02.2021
Job overview
- Spearheaded enhancements for the Deloitte Time and Expense (DTE) application, collaborating with cross-functional teams to improve functionality and user experience, increasing user satisfaction scores by 25% through proactive feedback collection and streamlined process improvements.
- Managed IT service requests via ServiceNow, achieving a 95% incident resolution rate within SLA timelines by conducting root cause analyses to prevent recurring disruptions, ensuring platform stability and reducing downtime.
- Developed and maintained detailed process flow diagrams, use case documentation, and functional requirement specifications, ensuring clear communication between business and technical teams and facilitating seamless project execution.
- Partnered with stakeholders to analyze existing workflows and identified opportunities for process automation and optimization, leading to measurable improvements in efficiency and resource allocation.
- Leveraged tools like SAP HR, Jira, and ServiceNow to enhance operational efficiencies, enabling seamless system integrations and optimizing business processes across the DTE platform.
- Designed and monitored key performance indicators (KPIs) within ServiceNow, identifying recurring issues through trend analysis and implementing corrective measures, resulting in a 30% reduction in recurring incidents and improved incident and change management processes.
- Developed complex SQL queries and applied statistical techniques, boosting data analysis efficiency by 30% and providing actionable insights that supported strategic decision-making and operational improvements.
- Collaborated with project managers and product owners to prioritize feature enhancements based on business impact, ensuring alignment with organizational goals and user needs.
Education
Lewis UniversityRomeoville
Master of Science from Data Science
12-2024
University Overview
- Relevant Coursework: Machine Learning, Artificial Intelligence and Statistical Analysis.
CMR Technical Campus (Autonomous Engineering College)Hyderabad, IN
Bachelor of Science from Computer Science
04-2016
Skills
Amazon Web Services (AWS)
Python programming
Regression analysis
SQL database
Machine learning
Business intelligence tools
Big data analytics
Predictive modeling
Decision support
Data analysis
Expert in customer relations
Certification
Amazon Web Services, 07/01/23
Languages
- English, Fluent
- Telugu, Fluent
- Hindi, Fluent
- Spanish, Limited
Timeline
Financial Data Analyst
AbbVie
07.2024 - Current
Data Analyst
MB MEDICAL PLLC
10.2023 - 08.2024
Business Data Analyst
Deloitte
11.2016 - 02.2021
Lewis University
Master of Science from Data Science
12.2023
CMR Technical Campus (Autonomous Engineering College)
Bachelor of Science from Computer Science
03.2016