Vetted Data Analysis Professionals

“Enterprise implementation/deployment specialist focused on HRMS and payroll systems across APAC customers, combining cloud/hybrid (AWS/Azure/GCP) integration work with strong client-facing delivery. Demonstrated ability to debug complex production issues across application, database, and network layers (e.g., isolating VPN/router congestion) and to tailor Python-based data cleaning/scoring/utilities to customer-specific workflows.”

“ML/LLM engineer at Charles Schwab who built a production loan-advisor chatbot integrated with internal knowledge and loan-calculator APIs, adding strict numeric validation to prevent rate hallucinations and optimizing context to control costs. Also runs ~40 Airflow DAGs orchestrating retraining/ETL/drift monitoring with an automated Snowflake→SageMaker→auto-deploy pipeline, and uses rigorous testing plus canary rollouts tied to business metrics and compliance constraints.”

“ML practitioner with hands-on experience in healthcare time-series modeling (CGM-based blood glucose prediction) including a novel ICA-based blind source separation approach and robust data-cleaning for noisy, missing sensor data. Also built an embeddings + LLM-powered podcast recommendation workflow using YouTube transcript scraping and Vellum AI document indexing, with a strong emphasis on production-grade engineering practices (TDD, monitoring) and realistic rolling validation for forecasting.”

“Higher-education operations leader (Assistant Dean at Howard University School of Business; inaugural Associate VP of Student Affairs/Enrollment Management at University of the District of Columbia) known for rebuilding and modernizing internal operations under constraint. Delivered measurable results including sustaining fiscal integrity across three budget cycles post-staff reduction and improving admissions throughput (+25% applications, 50% faster decisions) through process re-engineering, automation, and cross-functional governance.”

“Operations-focused advisor/consultant with experience helping a fast-growing e-commerce company scale internal operations and customer experience. Implemented a CX playbook, cloud CRM, and real-time risk controls (order tracking + anomaly detection), delivering 30%+ CSAT improvement and up to 25% retention lift in six months while also building a foundational compliance program to support regulatory and investor readiness.”

“Enterprise healthcare GTM/CS leader who owned large accounts end-to-end (sales through renewal), including scaling a hospital network rollout to 51 of 52 facilities in ~3 months. Built an automated customer-feedback and response system (“Schism”) using n8n + ChatGPT that cut CS workload by ~50% and informed product priorities, and has experience driving cross-functional EHR-related deployments and GTM analytics (Metabase/Snowflake/Firebase).”

“Software engineer with experience at Goldman Sachs and Arizona State University’s Learning Engineering Institute, shipping production backend systems including a vendor equities invoice-generation service designed for extensibility across multiple vendors. Built Django REST + PostgreSQL backends with JWT auth and Pytest coverage, and delivered data-heavy, responsive Angular dashboards; also has exposure to AWS EC2 deployments and GitLab CI/CD automation.”

“Built and deployed an LLM-powered customer support assistant (“Notable Assistant”) focused on automating common post-customer queries while maintaining multi-turn context and meeting scalability/latency needs. Experienced with production orchestration and operations using Kubernetes and Apache Airflow (DAG-based ETL, scheduling, monitoring/alerts), and has partnered closely with customer service stakeholders to align chatbot behavior with brand voice through iterative testing.”

“Applied NLP/ML engineer with experience at KeyBank and Novartis building production document intelligence and entity-resolution systems in finance and healthcare. Has delivered end-to-end pipelines (Airflow + AWS) using transformers (DistilBERT/Sentence-BERT), vector search (FAISS/Milvus/Pinecone), and human-in-the-loop labeling to achieve measurable gains (40%+ faster queries; up to 88% F1 and 93% precision/90% recall in entity linking).”

“Game economy/progression designer with live-ops experience across MMO, CCG, and F2P strategy titles (ROSE Online, Vega Conflict/KIXEYE). Known for data-driven tuning of loot, currencies, and monetization—e.g., removing a low-performing pay gate drove ~14% DAU lift and improved revenue, and built premium-currency models using real player telemetry to support an ad-to-IAP transition.”