Vetted Data Analysis Professionals

“AI/ML engineer who has shipped production systems across computer vision and conversational agents: built a YOLOv8-based wheel fitment pipeline at a Techstars-backed automotive startup, focusing on sub-second latency, monitoring, and robust fallback mechanisms that drove 2–3x page view growth and +5–6k users. Also built a voice-based interview platform orchestrating Deepgram + GPT-4 Mini + OpenAI TTS with FSM-driven reliability, and has hands-on RAG experience (LangChain, hybrid retrieval, cross-encoder reranking, custom pseudo-query generation).”

“Frontend React/TypeScript developer who built an admin dashboard for managing clients and artisans (users, profiles, transactions, activity). Emphasizes scalable organization (feature-based structure, reusable tables/forms/modals, shared styling with Tailwind), pragmatic state management (useState/lifted state/Context), and shipping discipline (peer reviews, basic test cases, staging validation, post-release monitoring).”

“Mobile and web product professional with experience across SaaS, EdTech, and logistics solutions. Familiar with F2P monetization concepts (battle passes, skins, shop items) and can articulate core live-ops and experimentation approaches (A/B testing, conversion/revenue measurement), though has not managed F2P mechanics in a live game.”

“Robotics/SLAM-focused engineer who worked on RT-Appearance mapping using NetVLAD, replacing traditional CV feature extraction with a deep learning approach to improve loop closure in repetitive green environments. Has hands-on ROS1/ROS2 experience (including bridging), point-cloud alignment with G-ICP for sensor-parameter matching, and Gazebo+Docker simulation testing for motion planning/perception.”

“Outbound-focused sales/business development professional who owns the full motion from list building and decision-maker research through multi-channel sequencing (email/cold call/LinkedIn) and qualification (including financial/legal documentation). Has experience stepping into new/early-stage locations with no process, auditing lead data, and implementing a readiness-based framework plus CRM automation (HubSpot/Salesforce/Yardi/Nestio) to improve follow-up and pipeline generation.”

“LLM/agent systems builder who deployed a production hybrid router for immerso.ai that dynamically selects retrieval vs reasoning vs generative pathways, achieving an 82% factual-accuracy lift. Deep hands-on experience optimizing local Mistral 7B inference (4–5 bit GGUF quantization, KV-cache reuse) and building reliable RAG/agent workflows with LangChain/LangGraph/AutoGen across GCP Cloud Run and AWS (ECS/Lambda).”

“Former consulting-firm professional who started their own company and ran operations as a solo operator, relying on deep document review and analytical issue-spotting rather than software systems. Has practical experience reducing costs in field service operations by optimizing dispatch/scheduling, and has organized teams and provided fact-supported analysis in litigation-oriented work.”

“Remote game QA tester with PlayStation and Xbox testing experience, using Jira to track bugs and create test case reports while collaborating directly with development teams. Has tested titles/projects including Valorant, Roblox, and Unity 3D games, and has self-studied Microsoft XR certification requirements.”

“Women’s apparel merchandising/category leader who owned end-to-end seasonal strategy across DTC e-commerce and a broad wholesale footprint (6–7 platforms plus trade shows). Delivered outsized wholesale growth (e.g., FAIRE from $40K to $370K/month in 6 months) and strong trade show revenue ($650K–$1.3M per show) by combining rigorous sell-through/returns analysis, SKU rationalization, and margin-protecting factory negotiations with tight production/QC execution.”

“Backend/data engineer focused on production AWS systems: builds multi-tenant FastAPI services on ECS behind API Gateway/ALB with serverless orchestration (Lambda, SQS, Step Functions) and strong reliability practices (JWT/JWKS auth, idempotency, backoff retries, structured logging). Also delivers AWS Glue/PySpark ETL pipelines with schema/data-quality controls and has modernized legacy analytics logic into Python with parity validation; improved a key dashboard SQL query from ~12–25s to ~2–3s.”

“Performance marketer managing a housing fintech’s $1M/month spend across Google, Microsoft, Meta, and TikTok, with deep emphasis on attribution and rigorous A/B testing. Drove a major efficiency gain by cutting MQL cost from ~$700 to ~$489 via event optimization, demographic/income targeting, ad copy overhaul, and landing page tests, and has hands-on experience recovering accounts after tracking breaks during site migrations.”

“Performance marketer specializing in high-spend lead generation for a large New York cosmetic surgery practice, managing up to $65K/month across Google and Meta. Uses closed-loop reporting with CRM attribution (e.g., Salesforce/HubSpot/Pipedrive/WhatConverts) to optimize for booked appointments, reallocate budgets by revenue-driving service lines, and validate tests beyond platform metrics—driving six-figure revenue and booking providers out ~6 months.”

“Frontend-focused builder who has led multiple projects end-to-end, including a React/Vite/TypeScript weather app and an internal analytics dashboard optimized for large, time-based datasets. Also created and shipped AetherGrid, a full-stack Windows desktop app, iterating with 5–10 testers and implementing pixel-perfect native UI details plus installer/uninstaller packaging; mentions starting a full-time role at Meta.”

“Former collegiate basketball player (JUCO/D2/D3) turned youth/AAU coach and community scout in Austin. Has recruited players for an AAU program and emphasizes full-game evaluation plus exposure-driven development; also creates Instagram Reels/TikTok content and is willing to be on-camera to educate families about recruiting.”

“Sales/business development professional with experience in high-value client account expansion and partner acquisition (including real estate sales/property management) who also self-taught Python and built a Selenium-based automation system to eliminate manual booking work. Demonstrated measurable impact across both revenue/relationship outcomes (profit margin lift, high CSAT) and operations (70% faster bookings, 95% fewer errors, 25%+ efficiency gains).”

“Console game testing experience focused on controller/input responsiveness (e.g., passing/shooting delays) with bug documentation shared to developers via notes/Excel. Also worked as an AI data tagging agent for an e-commerce LLM and built a Python + OpenAI API micro-tool to pre-label queries, improving labeling throughput by ~30% with a human-in-the-loop QA process.”

“Procurement/sourcing professional at Brightmark owning end-to-end CAPEX sourcing for uptime-critical plant components, from RFQs and vendor onboarding through production tracking and delivery. Demonstrated measurable savings (10–12%), mitigated supplier credit and trade/duty risks (Incoterms/HS code/COO), and improved AP/vendor relationships by fixing PO/invoice scope and documentation issues using SAP, Asana, and eMaint.”

“Sales professional at AutoSherpa who partners closely with product/engineering to resolve CRM data-sync issues affecting pipeline accuracy and sensitive customer data handling. Experienced running multiple customer onboardings in parallel using structured tracking (CRM/project boards), early risk logging, and weekly stakeholder syncs; targeting $100k base and open to equity.”

“Procurement/sourcing professional with hands-on end-to-end purchasing experience using SAP/ERP—checking inventory, issuing POs, comparing approved suppliers on cost/lead time/performance, and tracking orders through delivery. Demonstrated strong cost control by catching invoice vs PO mismatches (including unapproved freight charges) and improving a late supplier’s OTD through tighter communication and expectations.”

“Robotics software engineer who built a ROS 2 Humble autonomous hospital-equipment detection/localization robot end-to-end in Gazebo (custom worlds/models, Nav2 waypoint navigation, YOLOv8n perception, TF2-based depth fusion) and solved real-time integration issues via multithreading and QoS tuning. Also implemented and tuned an MPPI controller to enable smooth reverse parking on an OpenPodCarV2 platform, including real-world reverse engineering and hardware/software debugging.”

“Robotics engineer focused on simulation, modeling, and control, with hands-on sim-to-real experience from a soft, foldable “grasshopper” robot where friction/contact physics and servo dynamics drove real-world performance gaps. Built a ROS 2 voice-operated TurtleBot system integrating YOLOv5 + stereo depth for object picking with an attached arm, and debugged AMCL/SLAM to cut localization error from 10–13 cm to ~5 cm. Currently developing a quadruped in MuJoCo with a 3-layer control stack (RL + MPC + PD) and an RL training pipeline in JAX ahead of hardware.”

“Lifecycle/CRM marketer from Lid Vizion who led behavior-segmented onboarding/reactivation email programs, delivering a 26% lift in email engagement. Experienced running A/B tests (subject lines, CTAs, send times) and coordinating cross-functionally across creative/product/dev to align influencer, blog, and email messaging—cutting go-to-market time by 20%.”

“Marketing Director-level CRM/lifecycle marketer with deep restaurant/franchise and DTC experience, known for using CDP-driven segmentation and local-store personalization to materially lift loyalty (18% to 30%) and shift visit frequency (60% monthly-to-weekly). Comfortable integrating data across POS/CRM/email/feedback systems via APIs and running continuous A/B testing, plus strong stakeholder management to win franchisor buy-in through pilots and measurable outcomes.”