Chaithra Nair

• Applied causal inference techniques using the Propensity Score Matching method to assess education grants' impact on student outcomes. - Defined treatment and outcome variables while controlling for confounding through relevant covariates. • Conducted regression analysis to evaluate education grant distribution across U.S. counties, enhancing data-driven decision-making. - Cleaned and integrated public datasets, improving the accuracy of insights derived from demographic and funding-related features. • Built interactive Tableau dashboards integrating multi-source datasets to deliver standardized operational metrics, trend analysis, and visual data storytelling to support data-driven decision-making

Identifying amount of redactions in criminal court records -Organized large-scale data extraction from 490+ PDFs (4,710 pages) from the International Criminal Court’s Al-Mahdi Case using web scraping (ParseHub, Selenium). -Applied Natural Language Processing (NLP) and Computer Vision to detect and quantify redactions, identifying 3,310 text-based and 3,250 image-based redactions in tribunal documents. -Utilized Latent Dirichlet Allocation (LDA) topic modeling and statistical analysis to analyze redaction patterns, providing insights into the balance between secrecy and transparency in international law.

• Analyzed and profiled 30K+ operational records using Python (Pandas, NumPy) and Excel to identify trends, patterns, and data quality issues across national, state, and utility-level datasets • Applied non-parametric statistical testing (Kruskal–Wallis with Dunn’s post-hoc and Bonferroni correction) to rigorously validate period-level shifts in disconnection behavior • Partnered with cross-functional stakeholders to translate business questions into structured datasets, documented requirements, and analytical outputs supporting operational decision-making

As a Business Intelligence Analyst at Infosys, I played a key role in ensuring API compliance and cloud migration readiness for Westpac Bank and its enterprise clients. I designed Power BI dashboards to provide real-time compliance tracking, enabling clients to monitor API gaps, data storage locations, and migration deadlines before transitioning to AWS Cloud. Key Contributions & Achievements: - Engineered and deployed interactive Power BI dashboards using advanced DAX and drillthrough logic, enabling real-time compliance monitoring and driving 98% adherence to regulatory Key Performance Indicators — directly preventing high-risk system failures - Led cross-client compliance audits during AWS cloud migration, aligning data storage practices with regulatory frameworks (e.g., GDPR, HIPAA), and ensuring secure, audit-ready transitions across all environments - Implemented robust data validation logic in Power BI and upstream ETL pipelines, increasing data accuracy by 30% and reducing manual reporting errors in compliance and audit dashboards -Onboarded & trained 7+ team members, ensuring smooth compliance monitoring and reporting.