Vetted Power BI Professionals

“Led an end-to-end regional sourcing strategy at AMAT for consumables and high-value critical parts, including risk/mitigation planning, cross-functional execution, and executive-level reporting. Successfully influenced internal business unit leaders to shift procurement away from captive suppliers by validating and improving regional supplier capability and reliability, while building a repeatable playbook for the team.”

“AI/LLM engineer who built and productionized an internal RAG-based knowledge system that ingests diverse sources (PDFs, Markdown, Slack), scaled retrieval with distributed FAISS and parallel ingestion, and reduced hallucinations via re-ranking, grounding prompts, and post-generation validation. Also has hands-on orchestration experience with Airflow and Kubernetes for reliable ETL/model pipelines, monitoring, and staged rollouts; reports ~15% accuracy improvement and adoption as the primary internal knowledge tool.”

“Built and deployed a healthcare NLP application that used an LLM-style physician interface feeding a random forest model to predict treatment plans for hard-to-triage patient subgroups, backed by a Databricks medallion pipeline and heavy feature engineering to address missing/low-integrity data across ~50K patients. Also delivered an earlier Microsoft AI Builder automation that improved transportation bill payment workflows by training non-technical payroll/procurement teams to use automated outstanding-payables reporting.”

“Product leader with experience rebuilding AI-enabled products in healthcare and other domains, including a major Lingraphica mobile experience redesign for people with aphasia that improved NPS by 20% and increased usage while reducing support burden. They emphasize empowered PM/UX/engineering triads, discovery-led decision making, and mentoring product talent into leaders. Also brings a human-centered AI lens shaped by current team leadership, prior work at Intradiem, and a patent related to just-in-time learning.”

“Engineering leader who built and delivered an IoT smart-spaces platform for the self-storage and smart-living domains, translating customer requirements into architecture, capability maps, and a multi-milestone roadmap. Personally stood up missing AI/ML capabilities (including churn prediction) using Databricks (Delta Lake/MLflow), enabling follow-on features like energy optimization and security/anomaly detection. Scaled an org from 20 to 80+ with disciplined Agile planning (Jira Advanced Roadmaps/Confluence) and strong executive/customer-facing leadership during high-stakes customer commitments.”

“Strategic finance leader with experience at Fiserv, American Express, Salesforce, and a fintech startup, combining enterprise-scale FP&A rigor with hands-on GTM and product economics work. Stands out for translating complex financial and market analysis into measurable outcomes, including a $20M product launch, 12% revenue growth from sales strategy insights, and process improvements that boosted planning productivity by 35%.”

“Product leader with 8+ years across AI, platform, data, and customer-facing products, including personalization, discovery, loyalty, digital ordering, and conversational AI. Notable wins include launching an AI recommendation engine for Baskin Robbins that lifted conversion 20% and AOV 12%, and improving Apple discovery feature adoption by 25% through phased delivery under complex data-quality constraints.”

“Robotics engineer with UC Berkeley ROAR autonomous racing experience focused on real-time mapping/localization: implemented DLIO in ROS 2 and built the supporting LiDAR/IMU/GPS synchronization, TF consistency, and GPS-aligned trajectory tooling needed for reliable 3D SLAM on a physical vehicle. Also independently integrated a heterogeneous quadruped robot system at Eli Lilly spanning embedded, PLC, safety radar, Raspberry Pi, and cloud voice interfaces.”

YAKKALI PAVAN

Screened

Mid-level Machine Learning & Generative AI Engineer specializing in NLP, CV, and RAG systems

USA6y exp

“Built and deployed a production LLM-powered RAG document intelligence system used by non-technical enterprise stakeholders, cutting document search time by 40%+ while improving answer consistency. Demonstrates strong MLOps/data workflow orchestration (Airflow, AWS Step Functions, managed schedulers across GCP/Azure) and a metrics-driven approach to reliability, evaluation, and cost/latency optimization with guardrails and observability.”

Gemma Guan

Screened

Senior Data Analyst specializing in marketing analytics and digital strategy

9y exp

“Marketing and brand communications professional who has operated in a product-adjacent capacity and recently built a web app, Sync Circle, end to end as a graduate project. Brings a blend of digital customer experience, MVP product thinking, and research-data workflow experience, including AWS-based scraping and documentation practices relevant to structured, transparent research environments.”

“Data science/NLP practitioner with experience at NVIDIA and Microsoft building production-grade NLP and data-linking systems. Has delivered high-performing pipelines (e.g., F1 0.92) and large-scale entity resolution (F1 0.89), plus semantic search using embeddings and Pinecone with ~30–40% relevance gains, backed by rigorous validation (A/B tests, ROUGE, MRR) and strong MLOps/workflow tooling (Airflow, Databricks, FastAPI, MLflow, Prometheus/ELK).”

“ML/NLP engineer with experience building production-grade legal-tech and data platforms, including a GPT-4/LangChain contract review system using ElasticSearch embeddings (RAG) deployed on AWS EKS. Strong in entity resolution and scalable batch/streaming pipelines (Kafka/Spark), with measurable impact (70%+ reduction in contract review time) and a focus on monitoring and CI/CD for reliable delivery.”

Tamara Eliscovich Sigal

Screened

Mid-level Analytics & Strategy professional specializing in FinTech and SaaS revenue growth

New York, NY5y exp

“Data-driven operator/analytics leader with experience spanning post-acquisition integration (Papaya Global/Azimo), executive BI systems (warehouse + dbt + Looker), and high-tempo operations leadership (managed Rappi’s Argentina fleet during COVID). Has repeatedly aligned senior stakeholders by defining KPIs upfront, building scenario models in SQL/Python, and operationalizing a trusted single source of truth for leadership.”