Vetted Business Analysts

“Tesla sourcing/supplier readiness professional focused on critical lithium-ion battery components, owning end-to-end supplier onboarding and delivery execution. Uses SQL and Power BI to run integrated readiness plans across samples/approvals/tooling and proactively mitigates cost and import-duty risks while improving supplier performance through structured execution cadences.”

“Data/analytics professional with experience across manufacturing and enterprise environments (Wisconsin School of Business project with CNH Industrial; roles/projects at Ascensia Technologies, S&C, and Adobe). Has hands-on work combining warranty/lifecycle tables with technician free-text notes using TF-IDF + tree models (XGBoost/Random Forest), and deep experience in entity resolution/reconciliation across mismatched financial systems using Python/SQL and fuzzy matching, with production-grade pipeline practices in Azure Data Factory/Databricks.”

“Candidate combines fraud analytics experience at Citi with a clinical AI capstone involving reproducible ML pipelines for imaging and notes data. They stand out for turning messy, high-volume data into decision-ready reporting, automating evaluation workflows, and translating analytics into operational impact—from fraud rule changes to retention metric adoption.”

“Analytics-focused candidate with hands-on experience building SQL reporting tables from messy transactional and master data, plus Python workflows that automate monthly analysis and data checks. They appear strongest in KPI/reporting ownership, metric standardization, and stakeholder alignment, with examples of improving reporting consistency, surfacing issues earlier, and reducing manual reconciliation effort.”

“Chief of Staff / cross-functional operator with experience at HighRadius and Darwinbox, building executive operating rhythms (KPI dashboards, pipeline reviews, decision logs, intake/triage) and driving multi-country SE Asia expansion. Uses data-driven prioritization and unit economics (CAC, sales velocity) to align founders/CxOs on tough trade-offs, and has supported a GenAI product launch while managing enterprise escalations without derailing strategic timelines.”

“Developed and productionized an AI-driven "indication finding" system for AbbVie to identify additional diseases a drug could target, working closely with clinical research teams on cohort inclusion/exclusion criteria and disease rollups. Leveraged an LLM to map clinical inputs to ICD codes and built configuration-driven ML pipelines (Cloudera ML, YAML, scheduled jobs) with structured testing and evaluation for reliability.”