Prathyusha Aitha
Summary
Results-driven Quantitative Data Analyst with advanced SQL and statistical expertise, specializing in anomaly detection, fraud-risk pattern analysis, and performance optimization. Proven ability to perform large-scale data discovery, develop analytical proof-of-concepts, and deliver executive-ready insights that drive operational and strategic decisions. Adept at navigating ambiguity and collaborating cross-functionally to translate complex data into measurable business impact.
Overview
5
5
years of professional experience
1
1
Certification
Work History
Research Assistant
University Of Texas At Arlington
08.2024 - 12.2025
- Conducted quantitative research using Python (Pandas, NumPy) and SQL to analyze large-scale academic datasets (50K+ records), enabling data-driven research insights.
- Designed and optimized relational data models, reducing query execution time by 35% and improving research data accuracy.
- Performed comprehensive data cleaning, validation, and exploratory data analysis (EDA), identifying key trends and anomalies that improved reporting reliability by 25%.
- Developed interactive dashboards using Power BI and Tableau, improving stakeholder visibility into research metrics and reducing manual reporting effort by 40%.
- Collaborated with faculty and cross-functional academic teams to support research publications, technical documentation, and data-driven presentations.
- Automated repetitive data processing workflows using Python scripts, increasing operational efficiency by 45% and minimizing manual errors.
Data & Systems Analyst
Nokia Solutions and Networks Pvt. Ltd.
05.2022 - 12.2023
- Performed advanced SQL data discovery and statistical analysis on large operational datasets, identifying workflow anomalies and reducing recurring processing failures by 18%.
- Built automated monitoring dashboards using Python and SQL, enabling proactive detection of operational risk patterns and improving issue response time by 30%.
- Conducted quantitative root cause analysis (RCA) to isolate systemic inefficiencies, contributing to process optimization initiatives that improved system stability by 22%.
- Developed proof-of-concept analytics models to validate configuration changes prior to deployment, reducing post-release defects by 20%.
- Collaborated with engineering and data warehouse teams to enhance BI reporting solutions, improving reporting accuracy and reducing manual effort by 25%.
- Audited data systems regularly to ensure compliance, accuracy, and governance standards, reducing data discrepancies by 28%.
- Presented analytical findings to cross-functional stakeholders, translating complex datasets into actionable business insights supporting strategic decision-making.
Business Intelligence Analyst
Cognizant Technology Solutions
06.2021 - 05.2022
- Conducted end-to-end data analysis and developed interactive dashboards using Tableau and Power BI, improving stakeholder reporting visibility and reducing manual reporting effort by 35%.
- Designed and optimized SQL-based reporting and monitoring pipelines, enhancing enterprise data integrity and improving operational performance tracking efficiency by 28%.
- Performed recurring statistical analyses to identify process bottlenecks, improving troubleshooting efficiency by 30%and reducing resolution turn around time.
- Applied anomaly detection techniques to proactively prevent downstream financial and operational discrepancies, reducing data inconsistencies by 25%.
- Supported UAT validation by aligning analytical outputs with business process requirements, ensuring high accuracy and stakeholder acceptance.
- Documented data transformation logic and reporting assumptions to ensure audit compliance, reproducibility, and governance standards.
- Collaborated with quality and risk management teams to prioritize process improvement initiatives, contributing to measurable operational efficiency gains of 20%.
Education
Master of Science - Data Science
The University of Texas At Arlington
Arlington, Texas, TX12-2025
Skills
- Advanced SQL (complex joins, CTEs, window functions, subqueries, query optimization), statistical analysis, anomaly detection & risk pattern identification, hypothesis testing, regression fundamentals, root cause analysis (RCA), trend forecasting, KPI modeling, exploratory data analysis
- Python (Pandas, NumPy, Matplotlib), R (statistical computing), SQL, data manipulation & automation scripting
- MySQL, PostgreSQL, Snowflake relational database design, large-scale structured data querying
- Power BI, Tableau, Matplotlib, dashboard development, KPI reporting, executive-level data storytelling, cross-functional data presentation
- ETL pipelines, large dataset processing, data validation, data lineage documentation, data warehouse collaboration, Apache Spark
- AWS (S3, EC2, IAM), Azure, CI/CD fundamentals, Git version control , Jira, VS Code, Informatica, Talend
Certification
AWS Certified Solutions Architect – Associate
AWS Certified Cloud Practitioner
AWS Certified Cloud Practitioner
Timeline
Research Assistant
University Of Texas At Arlington
08.2024 - 12.2025
Data & Systems Analyst
Nokia Solutions and Networks Pvt. Ltd.
05.2022 - 12.2023
Business Intelligence Analyst
Cognizant Technology Solutions
06.2021 - 05.2022
Master of Science - Data Science
The University of Texas At Arlington