Data Governance Project Management

AISHWARYA RAJ

+1-352-***-**** ***************.****@*****.*** linkedin.com/aishwarya-raj GitHub EDUCATION

University of Florida, Gainesville, FL May-2024

Master of Science in Computer and Information Sciences GPA: 3.70/4.0 Jawaharlal Nehru Technological University, Hyderabad, India July-2020 Bachelor of Technology in Computer Sciences GPA: 3.80/4.0 SKILLS

Programming Languages Python, R, Java, SQL, SAS, JavaScript, C++, NodeJS Project Management Tools JIRA, Confluence, Agile & Scrum methodologies, SDLC, Backlog Management Data Management Statistical Modeling, Data Cleaning, Data Validation, Trend Analysis Databases & ETL PostgreSQL, MongoDB, Snowflake, MySQL, SQL Server, Data Warehousing Analytics Tableau, Power BI, DAX, Cognos, Statistical & Root Cause Analysis DevOps/Tools Git, Docker, Kubernetes, Microsoft Excel(Pivot Tables, Macros), LaTeX, Figma EXPERIENCE

Trustwise.ai, Austin, Texas June 2023 - Present

Data Governance Analyst

• Supported the implementation of enterprise-wide data governance practices by documenting metadata, data ownership, and stewardship rules across internal and customer-facing platforms.

• Developed SQL-based data profiling scripts to assess and monitor data quality issues across critical domains including user records, transaction logs, and configuration settings.

• Participated in the evaluation and configuration of metadata cataloging tools to improve traceability, reduce duplication, and enhance data discoverability across teams.

• Facilitated data cleansing and standardization initiatives by working with engineering and product teams, im- proving integrity of ingestion pipelines by 35%.

• Collaborated closely with product managers and business stakeholders to map business terms to technical lineage, feeding into governance tools for better auditability.

• Created documentation such as data dictionaries, data flow diagrams, and process models to ensure alignment with governance policies and audit requirements.

Infosprint Technologies, Hyderabad, India Jan 2020 - June 2022 Data Analyst

• Led data quality assessments for healthcare eligibility and claims data, designing validation rules and cleanup processes using advanced SQL and scripting.

• Created data lineage documentation and source-to-target mappings to support integration of structured data into a centralized data warehouse.

• Used Tableau and Excel to build executive dashboards that surfaced anomalies in data collection and reduced manual checks by 50%.

• Partnered with compliance and operations teams to implement stewardship workflows and data issue resolution processes aligned with governance standards.

• Contributed to data modeling efforts (relational and dimensional) to support standardized reporting across internal departments.

• Maintained documentation repositories in Confluence and participated in Agile ceremonies to support continuous improvements in data governance workflow

PROJECTS

Hallucination and Toxicity Score Checker for AI generated texts Jan 2024 - Mar 2024

• Developed an application with 95% accuracy for scoring hallucination and toxicity in AI-generated texts, fea- turing real-time graphical results using Python, FastAPI, SQLAlchemy, and Docker.

• The models are pre-trained on various datasets with over 100,000 data entries. Developed a complete full-stack application with an API response time 50ms.

Forecasting & Data Visualization for Natural Disasters Feb 2023 - Apr 2023

• Extracted and cleaned a geographical dataset of large flood events (>15,000 entries) from public research websites, improving data accuracy by 25%.

• Built interactive dashboards using Tableau and SAS Viya, enabling stakeholders to explore flood patterns, severity, and historical trends with interactive maps and filters. Database Design and Implementation for a Clothing Store Sep 2023 - Dec 2023

• Developed a normalized ER diagram modeling relationships between 22 entities (customers, orders, products, etc.) to optimize data organization and retrieval for a clothing store’s inventory management system.

• Implemented the designed schema using SQL, creating tables with appropriate data types, constraints, and relationships, demonstrating proficiency in database management. PUBLICATIONS AND CERTIFICATIONS

– Method and System for Client Behavior Prediction and Attrition Analysis Application Number: 202*********, Published by: ipindiaservices.gov.in Dec 2021

– Google Cloud Platform, Fundamentals: Core Infrastructure. Mar 2021

– Generative AI: Introduction and Applications Aug 2024

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