Vetted Tableau Professionals

Pre-screened and vetted.

JB

Principal Data Scientist specializing in AI/ML forecasting and MLOps

Fort Collins, CO14y exp
HasbroGalvanize
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JS

Principal Data Scientist specializing in LLMs, RAG, and enterprise AI products

Winchester, TN9y exp
SambaNovaSewanee: The University of the South
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KP

Mid-level Data Engineer specializing in GCP, Spark, and healthcare analytics

New York, NY3y exp
CVS HealthColumbia University
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AA

Senior AI/ML Engineer specializing in LLMs and enterprise conversational AI

Northbrook, IL16y exp
CVS HealthUniversity of Illinois Chicago
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RD

Mid-level AI/ML Engineer specializing in NLP, LLMs, and MLOps

USA, USA4y exp
Scale AIUniversity of Texas at Arlington
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DV

Senior Customer Success Manager specializing in Enterprise SaaS and Ad Measurement

San Francisco, CA9y exp
Integral Ad Science
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CJ

Clidner Joseph

Screened ReferencesStrong rec.

Senior Talent Acquisition & Recruiting Operations Partner specializing in hiring analytics

New York, NY6y exp
Omnicom Media GroupBaruch College

Recruiting leader in the agency/media space (Omnicom/Hearts & Science and WPP Media) who manages a small recruiter pod and builds operational systems to improve hiring outcomes. Known for process standardization and change management (Greenhouse templates, SLAs, automation) and for measurable stakeholder impact—e.g., cutting hiring manager response lag to 48 hours and partnering with a CFO to prioritize/stagger hiring based on capacity and budget.

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PC

Patricia Ceron

Screened ReferencesStrong rec.

Senior Growth & Demand Gen Marketer specializing in B2B SaaS partnerships and GTM

Vancouver, BC, Canada20y exp
Dancing Line ProductionsJTL University

Growth/partnerships leader with experience across Hootsuite, SMART Technologies, and Spinify, building partner ecosystems and GTM programs tied directly to pipeline and revenue. Notably created agency partnerships that drove 21% of total revenue and ran a data-backed self-serve SMB experiment that produced an 18.4% lift in conversations.

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PM

Phillip Martini

Screened ReferencesModerate rec.

Director-level Product and Data Executive specializing in B2B SaaS and analytics

Zionsville, IN21y exp
AviontéUniversity of Cincinnati

Product leader with a strong track record of modernizing legacy SaaS platforms, including an API-first rebuild that increased engagement by 40% and reduced support burden. Also led AI-powered workflow automation that delivered 80-90% time savings through human-in-the-loop design, showing a pragmatic, user-centered approach to applied AI.

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NC

Mid-level Supply Chain Planner/Buyer specializing in sourcing, MRP, and analytics

Boston, MA4y exp
ASMPTNortheastern University

Supply chain/sourcing professional focused on semiconductor tooling NPI ramp-ups, owning vendor selection through production and delivery. Demonstrates strong cost and trade-risk mitigation (e.g., avoided 25% Section 301 tariff via HTS/landed-cost analysis) and measurable supplier performance turnarounds (OTD improved to 95%) using SAP MRP, shortage analysis, and structured supplier governance.

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NK

NEHA KOLAN

Screened

Mid-Level Software Engineer specializing in microservices and cloud data pipelines

Texas, USA4y exp
CignaUniversity of North Texas

Full-stack engineer with end-to-end ownership across React/TypeScript frontends, Spring Boot/Node microservices, and production ops on Docker/Kubernetes and AWS (ECS/CloudWatch). Built real-time healthcare eligibility and analytics systems at Cigna and an early-stage seller onboarding platform at Flipkart, driving measurable performance gains (35–40% latency/throughput improvements) through event-driven Kafka pipelines, Redis caching, and strong reliability/observability practices.

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JS

Jitesh Sharma

Screened

Mid-level Growth Marketing Manager specializing in performance creative and marketing analytics

Mumbai, India3y exp
MirumUniversity of Texas at Austin

Paid social creative lead with experience across major consumer brands (Duracell, Amazon Groceries, Puma) and Gen Z-focused retail, owning end-to-end creative strategy from concept/briefing and UGC direction through QA and delivery. Known for contextual, seasonally-timed campaigns and performance-driven iteration (CPA/ROAS, funnel drop-offs), including a Duracell Meta campaign that reached 20M+ views and sustained engagement gains via creator feedback loops.

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PT

Principal Data Strategy & Data Management Leader specializing in enterprise governance and analytics

Woodstock, IL25y exp
Taylored ConsultingSouthern Illinois University

Operator/program leader with experience building operating models and execution cadences for data/analytics and energy data services across Entech, HealthEquity, and RealPage. Has launched an undefined energy data management service into regulated enterprise environments and driven cross-functional alignment via dashboards, SLAs, and OKRs—contributing to enterprise wins and a successful company sale.

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TM

Thomas Mason

Screened

Executive Strategic Operations Leader specializing in business transformation and process optimization

Berkeley, California19y exp
Lawrence Berkeley National LaboratoryUC Berkeley

Program/operations leader with Booz Allen Hamilton experience turning around a near-canceled Millennium Challenge Account Indonesia procurement-training contract by implementing train-the-trainer, mentorship, and KPI/dashboard-driven execution. Currently supports the CFO organization at Berkeley Lab, translating high-level strategy into people/process/technology/governance plans with an executive operating cadence.

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JT

Jingyi Tian

Screened

Junior Machine Learning Engineer specializing in MLOps and LLM/RAG systems

Houston, TX2y exp
Daxwell, LLCColumbia University

LLM/agentic workflow builder focused on productionizing document-processing systems. Redesigned pipelines with LangGraph + RAG, schema-aware validation, and eval/monitoring loops; known for fast incident diagnosis (restored accuracy from ~70% to >95% same day). Partners closely with sales and stakeholders to deliver tailored demos and drive adoption (reported +40%).

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MP

Malav Pandya

Screened

Senior Solutions Engineer specializing in Enterprise SaaS, MarTech integrations, and AI agents

Los Angeles, California9y exp
Triple WhaleUC Irvine

At Triple Whale, partnered with product, engineering, and sales to bring enterprise LLM-based budget recommendation agents from impressive prototypes to trusted production workflows. Strong in prompt/input tuning, explainable structured outputs, and running tightly-scoped POCs with clear success criteria—plus hands-on technical demos and post-sale implementation to drive adoption.

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SL

Mid-level Marketing & Sales Development Associate specializing in public sector SaaS/EdTech

New York, NY4y exp
EdSolutions ConsultingYale University

Public-sector-focused consultant with hands-on ownership of outbound/ABM, lead gen, and GTM strategy for early-stage and pre-launch products (including edtech). Built multi-channel campaigns spanning SEO/web copy, email, conferences, and direct outreach to state/district leaders, and created an Airtable onboarding system that cut prospect research time by 33%.

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SM

Shravya M

Screened

Senior AI/ML Engineer specializing in NLP, LLMs, and MLOps

Texas, USA6y exp
CVS HealthUniversity of North Texas

LLM/agent workflow engineer with healthcare experience (CVS/CBS Health) who built and deployed a production call-insights platform using Azure OpenAI + LangChain/LangGraph, including sentiment and compliance checks. Demonstrates deep HIPAA/PHI handling (tenant-contained processing, redaction, RBAC/encryption/audit logging) and production rigor (testing, eval sets, validation/retries, autoscaling) to scale to thousands of transcripts.

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KA

Mid-level Machine Learning Engineer specializing in NLP, LLMs, and multimodal modeling

Ann Arbor, USA3y exp
University of MichiganUniversity of Michigan

Built and productionized a telecom-focused RAG assistant by LoRA fine-tuning LLaMA-2 and integrating LangChain+FAISS behind a FastAPI service, with dashboards and a human feedback UI for engineers. Demonstrated measurable impact (≈40% faster document lookup, +8–10% retrieval precision) and strong MLOps rigor via Airflow orchestration, CI/CD, and monitoring for drift and failures.

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NN

Mid-level AI/ML Engineer specializing in Generative AI and MLOps

4y exp
WalgreensUniversity of North Texas

Built and deployed a production Retrieval-Augmented Generation (RAG) platform in a healthcare setting to automate clinical documentation review and summarization, targeting near-real-time, explainable outputs. Emphasizes grounded generation to reduce hallucinations, latency optimizations (chunking/embedding reuse), and PHI-safe workflows with access controls, plus strong orchestration experience using Apache Airflow.

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SK

Mid-level Data Scientist / AI-ML Engineer specializing in Generative AI and LLM applications

Dallas, TX5y exp
Baylor Scott & WhiteUniversity of North Texas

Built a production GenAI-powered analytics assistant to reduce reliance on data analysts by enabling natural-language Q&A over Databricks/Power BI dashboards, backed by vector search (Pinecone/Milvus) and a Neo4j knowledge graph, including multimodal support via OpenAI Vision. Demonstrates strong real-world LLM reliability engineering with strict RAG, LangGraph multi-step verification, and Guardrails/custom validators, plus broad orchestration and production monitoring experience (Airflow, ADF, Step Functions, Kubernetes, Prometheus/CloudWatch).

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MM

Madhu Moutam

Screened

Mid-level Supply Chain Analyst specializing in logistics optimization and planning analytics

USA (Remote)4y exp
MaerskConcordia University

Supply chain/procurement professional (Maersk) who leads end-to-end freight sourcing initiatives using heavy analytics (SAP/SQL/Python/Excel) to drive measurable savings. Known for automating sourcing workflows (60% faster bid evaluation) and building Power BI dashboards to monitor contract compliance and supplier performance post-implementation.

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SR

Mid-level AI/ML Engineer specializing in deep learning, NLP/LLMs, and MLOps

MA, USA6y exp
Flatiron HealthClark University

Built and shipped a real-time oncology risk prediction system used by doctors during patient visits, trained on clinical data in AWS SageMaker and deployed via FastAPI with sub-second responses. Emphasizes clinician-trust features (SHAP explainability, validation checks) and HIPAA-compliant controls (encryption, RBAC, audit logging), plus Kubernetes-based production operations with autoscaling, monitoring, and drift/retraining workflows; collaborated closely with oncologists at Flatiron Health.

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BK

Bharath kumar

Screened

Director-level AI & Data Science leader specializing in GenAI, LLMs, and MLOps

Draper, UT12y exp
ThorneBharathiar University

ML/NLP engineer currently working in NYC on a system that connects complex unstructured data sources to deliver personalized insights, using embeddings + vector DB retrieval and a RAG architecture (LangChain, Pinecone/OpenSearch). Strong focus on production constraints—especially low-latency retrieval—using FAISS/ANN, PCA, index partitioning, and Redis caching, plus PEFT fine-tuning (LoRA/QLoRA) and KPI/SLA-driven promotion to production.

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