Data science · Data engineering · Agentic AI
Sneha Nagabhairava
Data-driven leader with 24 years of experience turning complex business
requirements into scalable data solutions. I have reduced reporting time
by 40%+ through tighter data models and ETL, and I use data science and
LLM-based agentic AI to strengthen enterprise data platforms.
Professional experience
Experience
Dec 2024 – May 2025
Eagan, MN
Lead Software Engineer
Internet Brands (FindLaw acquisition)
- Led the technology transition after Internet Brands acquired FindLaw from Thomson Reuters.
- Explored LLM-powered solutions to automate content categorization.
- Ported customer data into the new corporate environment after the SAP account numbering system was restructured.
- Updated 15+ downstream processes so operations continued under the new infrastructure.
- Revised reporting frameworks to match Internet Brands business requirements and KPIs.
- Kept service disruptions to customers minimal during the acquisition transition.
Jan 2012 – Dec 2024
Eagan, MN
Lead Software Engineer
Thomson Reuters
Performance Analytics Group · 2015 – Dec 2024
- Integrated AI-powered analytics to improve reporting and add predictive insight.
- Cut dashboard development time by 65% by implementing dbt from scratch for a team of 8 analysts.
- Built a Budget Estimator that uses machine learning to categorize Google Ads into practice areas.
- Removed 15+ hours of weekly manual reporting with PPC budget and performance dashboards; received a company-wide Star Performer award.
- Expanded digital marketing analytics coverage by 40% with a social media budget reporting solution for Facebook products, used by the marketing team.
- Reduced data inconsistencies by 35% with standardized, certified Tableau data sources used by 20+ analysts.
- Improved resource allocation efficiency by 25% with an article forecast reporting system for workload balancing.
Data Services Group · 2012 – 2015
- Led the BPM fulfillment analytics team and raised offshore productivity by 28% through weekly leadership and clear implementation guidance.
- Owned data modeling, mapping, and analysis for Oracle BPM reporting, vendor API content crowdsourcing, call quality, call scheduling, and product performance.
- Served as SME for the Data Driven Decisions initiative and integrated FindLaw customer data with the Thomson Reuters master data management system.
- Reduced query time through SQL optimization and data model improvements.
- Implemented Business Objects universes and reports, and created training materials for the business and developers.
Jan 2007 – Jan 2012
Bloomington, MN
Senior Analyst / Oracle Software Engineer
Ecologic Analytics
- Designed security architecture, including Oracle VPD, for utility customer data.
- Accelerated data processing by 70% by rewriting core processes with table partitioning and resolving production locking.
- Configured the Meter Data Management System for major utilities and supported RFP responses.
- Implemented MDMS on site at Pacific Gas and Electric, Austin Energy, and Indianapolis Power and Light.
- Automated 90% of data migration with ETL frameworks for the Ecologic MDMS platform.
Jan 2004 – Jan 2007
Minneapolis, MN
Database Administrator
Wolters Kluwer Financial Services
- Cut database errors by 50% by redesigning logical and physical data models for IRAMC in ERwin.
- Reduced deployment failures by 65% by standardizing installation and upgrade scripts.
- Cleared recurring production issues by optimizing SQL and resolving locking scenarios.
- Cut the upgrade window by 50% with a tighter path from development to production.
Aug 2001 – Nov 2003
Mumbai, India
Software Programmer
Infrasoft Technologies
- Generated reports for Coutts Bank with optimized Developer 2000 implementations.
- Contributed to CMM Level 5 certification by building defect tracking that improved quality metrics by 35%.
- Shortened support ticket resolution with an internal Support Hub application.
- Built core database components for an electronic bill presentment and payment system used by financial institutions.
Independent · 2026
AI product experience
Recent hands-on work designing and shipping software with large language
models, retrieval, and agent workflows. These four builds sit on top of
the enterprise data practice above: privacy controls in front of the
model, tools for facts that should stay in a database, and products that
still run when a cloud model is unavailable.
Public-assistance finder for Mecklenburg County, North Carolina, and
federal programs. A local eligibility wizard, plus an optional
Vertex AI assistant that only sees text after common PII is stripped.
LangGraph agent over Mecklenburg County tax and sales records and
North Carolina license-law notes. Policy questions use retrieval;
parcel and sale questions use SQL tools.
iPhone-first habit tracker for a household. Local accounts, custom
habits, a reporting heatmap, and file or QR sharing. Data stays on
the device in SQLite, with no cloud database.
Charlotte-only directory of non-medical calm places and community
events. Gemini summarizes place notes on the server so the browser
never holds the API key.
Technical expertise
Skills
Modern data stack
Snowflake, dbt, Python, Alteryx, AWS
AI and machine learning
LLMs, agentic AI, machine learning, MLOps, data science
BI and visualization
Tableau (certified), Power BI, SAP BusinessObjects
Databases
Oracle (certified professional), Postgres, SQL Server, Sybase
Languages
SQL, PL/SQL, Python, Java (Sun certified)
Tools
Informatica, Datameer, DBeaver, Toad, GitHub, Jira, Google Workspace, Microsoft 365
Education and development
Education
Graduated 2001
Bachelor of Science in Computer Science
Mumbai University, India
Professional development
- Advanced Machine Learning: Agentic AI, ML, Deep Learning, and MLOps — Interview Kickstart (in progress)
- The Analytics Edge — MITx on edX
- LinkedIn courses on generative AI and leadership
Credentials
Certifications