Vetted Data Analysis Professionals

“AAA sports game QA tester who supported full development through launch and live updates, owning gameplay stability/regression risk. Experienced in triage-driven prioritization and in diagnosing complex crash issues (including thread synchronization) using evidence-backed Jira reports, then hardening coverage with stress/concurrency/soak and CI-integrated regression suites.”

“Application/security-focused customer-facing implementer who has secured multi-customer data aggregation apps using per-tenant isolation, short-lived/scoped tokens, and vault-based secrets management. Troubleshoots production issues via API gateway logs and performance tuning, and runs repeatable onboarding playbooks with strong customer-specific and cross-project documentation. Emphasizes AWS least-privilege IAM and secure agent deployment patterns, plus container scanning practices that catch vulnerabilities pre-production and build developer trust.”

“Decathlon sourcing/procurement professional managing end-to-end materials and components sourcing for multiple sportswear lines, spanning vendor selection, cost negotiation, production execution, and delivery. Known for building SOPs and performance dashboards to drive 98%+ OTIF, eliminating air freight entirely, and delivering ~5% seasonal cost savings. Also led supplier quality accountability (zero fabric rejections in 2 seasons) and advanced sustainability initiatives like the "No Coal 2025" transition via collaborative pilots.”

Jarin Tasnim

Screened

Staff/Lead Software Engineer specializing in distributed data and ML platforms

Mountain View, CA6y exp

“Defense-domain AI engineer who built a production ReAct-style RAG system for military training data/material generation, scaling to ~1000 users and cutting generation time by 50%. Also has experience designing GPU-cluster parallel computation with PyTorch and handling production incidents involving database performance and schema design.”

Cory Watson

Screened

Senior Performance Marketing Analyst specializing in paid search and marketing analytics

Glendale, CA6y exp

“Growth marketing creative lead with experience at Starz and 3.5 years at mute6, spanning subscription acquisition and Shopify-based DTC/eCommerce. Drives Meta/TikTok/YouTube performance by pairing end-to-end creative production and UGC direction with data-led iteration (CTR/CPA/ROAS), including fatigue diagnosis and rapid refreshes.”

Caleb Heo

Screened

Senior Finance & Investment Analyst specializing in TMT, valuation, and quantitative strategy

New York, NY7y exp

“VC deal-sourcing professional with Sutton Capital experience who combines quantitative tooling, alternative data, and thesis-driven founder outreach to surface under-the-radar startups early. Distinctive for building Python-based sourcing and tracking engines, converting cold outreach into qualified deal flow, and pairing relationship-building with rigorous unit economics analysis for partner-level investment decisions.”

“AI/LLM engineer who has shipped production RAG copilots and multi-agent workflows, including a real-time Llama3 (Ollama) copilot backend handling 12k+ concurrent queries at 99.9% uptime. Deep on orchestration (Langflow/Airflow/Kubernetes), reliability evaluation (hallucination detection, p95 latency, token cost), and monitoring (Prometheus/Grafana), with demonstrated stakeholder-facing analytics delivery via Tableau.”

“Analytics professional with University of Florida experience in occupational health reporting, including bloodborne pathogen and needlestick exposure programs. Stands out for turning messy healthcare operational data into trusted, analysis-ready reporting assets using SQL and Python, while partnering closely with stakeholders to define reliable metrics and improve operational oversight.”

Bryan Jones

Screened

Mid-level Data Analyst specializing in analytics, budgeting, and sports data systems

Maryland, USA5y exp

“Baseball advisor/recruiter with a player-development lens shaped by his own injury experience, combining TrackMan-driven analytics with deep coach and program relationships. He has helped athletes navigate high-stakes draft, rehab, and college decisions, including identifying under-scouted talent like John Klein and supporting his path to the Twins' 40-man roster.”

Almas Fathimah

Screened

Senior AI Engineer specializing in Generative AI and ML platforms

USA7y exp

“Built and owned a production RAG-based conversational AI system at Entera for real estate analysis, taking it from experimentation through AWS deployment, monitoring, and iterative improvement. Demonstrates strong practical judgment in retrieval design, LLM safety, and scalable Python service architecture, with measurable impact including 30-40% reduction in manual analysis time and roughly 30% better response accuracy.”

“Full-stack engineer with hands-on experience building and shipping production web products across AI, frontend, backend, and DevOps. Notably built an end-to-end resume-job matching platform during an internship that processed 1000+ resumes/day and cut recruiter screening effort by 60%, and later shipped an internal operations dashboard at CHS with measurable performance gains.”

Aarit Shah

Screened

Junior B2B Sales and Growth Associate specializing in SaaS and consumer brands

Mumbai, India2y exp

“Early B2B growth hire at Snackible who helped build the outbound motion from scratch as the company entered the B2B space. Demonstrated strong consultative outbound skills across calls, email, and LinkedIn, and closed 18 corporate accounts in 6 months by tightly qualifying prospects and creatively using product samples to open doors with decision-makers.”

“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.”

“CRM and lifecycle marketing professional with broad hands-on experience across Salesforce, HubSpot, Microsoft Dynamics, and other platforms, focused on retention, reactivation, and CLV growth. Stands out for building customer recovery programs from scratch, improving campaign performance through granular segmentation and A/B testing, and coordinating multiple internal teams plus an agency in complex multichannel CRM environments.”

“Consulting-oriented candidate with hands-on experience advising a Detroit restaurant on market expansion through B2B partnerships and new revenue channels, while also supporting a technology company's sales process improvement as a business analyst. Brings a blend of market research, persona development, client acquisition outreach, and the ability to turn analysis into practical business recommendations.”

“Systems-oriented engineer with strong Python depth who repeatedly improves throughput in complex, ambiguous environments by designing pragmatic human-in-the-loop automation. Notable wins include a record-validation workflow that put a department over six months ahead of schedule and saved $500K+, plus AI-assisted and migration tooling integrated with Jama for engineering requirements and traceability.”

John Singleton

Screened

Director-level Human Resources Leader specializing in HR strategy and people operations

Waxahachie, TX15y exp

“HR leader with 16 years of experience running end-to-end people operations (recruiting ops, payroll, benefits, engagement, performance) and managing small recruiting/ops teams. Notably revamped a logistics hiring process to fill 60 roles in two months and drove ~20% turnover reduction, and led a multi-entity PeopleSoft HCM integration across a state college system with heavy compliance/security stakeholder coordination.”

“Project leader in regulated healthcare SaaS who grew from data pipeline and configuration work into owning end-to-end enterprise implementations. Has led high-volume telehealth launches, managed plans serving up to 2 million members, and combines hands-on technical troubleshooting with executive-level stakeholder management.”

Saketh Kota

Screened

Mid-level Data Scientist / ML Engineer specializing in Generative AI, RAG, and MLOps

Irving, TX4y exp

“Built and productionized a RAG-based LLM research assistant for biomedical and regulatory document search using Mixtral 7B on SageMaker, LangChain, and Milvus, cutting research time by ~40%. Has hands-on multi-cloud MLOps experience across AWS/Azure/GCP with Kubeflow/Airflow/Composer plus Terraform + ArgoCD, and applies rigorous evaluation/monitoring (latency, accuracy, hallucinations). Also partnered with a non-technical PM to deliver an insurance policy Q&A chatbot that reduced customer response time by 30%+.”