Open to opportunities
Nikhita Shankar
Data Engineer & Analytics Professional
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Data Engineer & Analytics Professional
I don't just move data. I build the systems that turn it into decisions.
At Obvience, I'm designing analytics platforms where AI and human judgment meet, integrating Microsoft Fabric, Power BI, and agentic pipelines to help organizations stop guessing and start knowing. Before that, three years at ExxonMobil and a year at Hyperplane (acquired by Nubank) building financial intelligence infrastructure at scale.
With an MS in Business Analytics from UIUC, I sit at the intersection of data engineering and applied AI, the place where LLMs, predictive models, and clean pipelines actually ship together. My thesis: the best data work disappears into the product. Nobody notices the pipeline. Everyone notices the insight.
2024 – 2025
Master of Science in Business Analytics
Beta Gamma Sigma Honor Society inductee
2016 – 2020
Bachelor of Engineering in Computer Science
Published undergraduate research in IRJET
Inducted into the international business honor society, recognizing the top 20% of business graduates globally, for academic excellence and leadership.
Validated foundational knowledge of AWS cloud architecture, core services, security, and best practices. Issued and verified by Amazon Web Services.
Annual "Bright Beginner" Award and Quarterly Recognition Award for innovation and consistent excellence in analytics delivery across global projects.
Published in the International Research Journal of Engineering and Technology. Reviews collaborative, content-based, and hybrid filtering techniques, with an applied implementation using matrix factorization and SVD for product recommendation.
A privacy-preserving framework for early burnout detection using behavioral metadata only. Introduces the Emotional Stability Drift Index (ESDI) for ethical, human-centered workplace analytics.
Data Engineer
Designing and implementing end-to-end analytics solutions using Microsoft Fabric, Power BI, and SQL Server, helping organizations make their data more accessible and decision-ready.
Data Engineer
Built reliable, automated data workflows to support AI-driven workplace analytics, contributing to the foundation of a behavioral intelligence platform.
Data Science and AI Consultant
Developed an LLM-based differential diagnosis system using GPT-4o and Gemini. Benchmarked prompt engineering frameworks and evaluated model reasoning quality for clinical decision support.
Data Engineering and Analytics Lead
Designed a Cognos-based Workforce Insights Dashboard integrating SQL and Python pipelines to standardize HR KPI reporting and automate labor-cost forecasting for a community hospital.
Data Engineer
Built data platforms and financial intelligence systems from the ground up at a fintech startup. Contributed to core infrastructure that supported the company through its acquisition by Nubank.
Data Science / Analytics / Data Engineering
Three-year tenure across data science, analytics, and engineering roles. Won Annual "Bright Beginner" and Quarterly Recognition Awards for innovation and excellence in analytics delivery across global projects.
Engineering Intern
Contributed to software engineering projects at a global IT services firm, gaining foundational hands-on experience in enterprise software environments.
GPT-4o and Gemini-powered clinical decision support system built with Wolters Kluwer Health. Benchmarked prompt engineering frameworks and evaluated reasoning quality for real-world healthcare applications.
Production-grade AWS data pipeline using S3 for storage, Glue for ETL, Athena for querying, and QuickSight for visualization. A complete, scalable analytics solution from ingestion to insight.
Cognos-based HR analytics platform for Colorado West Healthcare. Integrated SQL and Python pipelines to standardize KPI reporting and automate labor-cost forecasting for hospital administrators.
BERT and DistilBERT classification of disaster-related content for real-time crisis detection.
End-to-end transformation pipeline for actionable business insights using Azure and Python.
Predictive ML models and interactive dashboards for equity analysis and investment strategy.
Regression Discontinuity analysis on drinking age policy effects on mortality rates.
Predictive real estate modeling in R for urban planning and taxation policy support.
On-chain trend dashboards built with Dune Analytics and SQL for DeFi intelligence.
Interactive Excel dashboard analyzing transaction patterns for operational insights.
Movie trends and ratings analysis using Python and Tableau.
Multi-dimensional retail performance analysis using Wolfram Mathematica.
Open to new opportunities, collaborations, or just a good conversation about data. Drop a message and I will get back to you.