Vetted Data Analytics Professionals

“Has worked at a startup within an incubator program and is a certified mentor with a startup mentorship non-profit focused on early-stage/pre-funded companies. Not currently seeking to found a company or take equity-only roles, but open to working at very early-stage companies (pre-launch/pre-revenue/pre-funded).”

“Sales candidate with 35 years of experience who expressed interest in AI and shared a resume link and LinkedIn profile, but did not provide any concrete deal examples or details about outbound prospecting or recent closes during the screen.”

Akhil Bharadwaj Mateti

Screened

Mid-level Software Engineer specializing in Data Science and Machine Learning

Arlington, Virginia4y exp

“Robotics/AV perception engineer who built a semantic-segmentation road detection system and integrated it into a ROS-based real-time pipeline (ROS bag camera feed to live monitor) achieving ~12 FPS. Strong in practical deployment work: solved multi-library versioning issues (ROS/OpenCV/TensorFlow), containerized the stack with Docker, and optimized inference by shifting runtime to C++ for large latency gains on NVIDIA hardware.”

“Serial CEO, startup operator, and capital raiser who says he has raised over $1B and led 5 high-growth tech-enabled businesses to successful exits. He combines fundraising, venture-building, regulatory problem-solving, and brand creation—highlighted by scaling Ventete, mentoring for a decade in venture networks, partnering at TIFIN, and helping create proprietary financial structures that processed $12.5B in deal flow.”

“Software engineer and University of Chicago graduate teaching assistant who built a full-stack internal analytics dashboard (React/TypeScript + Node/Express) and worked in RabbitMQ-based microservices with Prometheus/Grafana observability. Also created an AI-powered ERD diagram generator (React + MermaidJS + OpenAI) adopted by students to save hours on database assignments, using validation loops to ensure valid Mermaid output.”

“Backend-focused Python engineer who builds modular Flask services on AWS and specializes in performance/scalability work across data-heavy APIs. Has concrete wins in query optimization (1.5s to <200ms) and high-throughput async processing (Celery+Redis, ~40% throughput gain), plus experience serving scikit-learn text classification models via containerized REST services and designing multi-tenant data isolation strategies.”

“Operations/people leader with strong analytics orientation who has led large multi-site teams and built KPI dashboards to drive measurable performance gains. Notably improved a high-volume intake process at NYCHHC by ~20% through real-time throughput/wait-time tracking and workflow standardization, and partnered with senior leaders at Amalgamated Bank to lift engagement by 15%.”

“Video editor with hands-on Adobe Premiere + After Effects experience across short-form social (Reels/Shorts) and longer-form YouTube, plus feature/short film and product/explainer/talking-head content. Has led an editing function at Prudential by creating templates and mentoring other editors, and has worked with the YouTube channel CanikUSA.”

“Engineering leader with a strong automation-first philosophy ("special treatment doesn't scale"), experienced in building self-service tooling and communicating clearly with executives via BLUF-style updates. Has delivered end-to-end business-driven solutions—from sourcing alternative vendor data to installing infrastructure and writing drivers/analytics—and led pragmatic architecture changes in R/Rserve that significantly improved performance while driving cloud costs toward near-zero.”

Laurie Myers

Screened

Executive Biopharma Operator specializing in drug development, commercialization, and board leadership

Kansas City, MO38y exp

“Pharma marketing and go-to-market professional with ~8 years building launch strategies, including experience on the Lovenox marketing team during a major hospital-to-outpatient injectable launch. Demonstrates strong reimbursement expertise (J-code strategy) and hands-on field research with pharmacists across states to enable outpatient reimbursement adoption.”

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.”

“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/lifecycle marketer with healthcare/practice-operations domain fluency who built highly targeted campaigns for a premium insurance-claims product, using customer data signals to find best-fit accounts and generating roughly $800K in incremental revenue. Experienced as a central hub coordinating sales, product, legal, design, pricing/billing, and leadership to deliver consistent messaging without overwhelming customers.”

“Growth and partnerships operator with 10+ years in digital marketing across Web3, gaming/creator ecosystems, and B2B SaaS. Has executed exchange listings (KuCoin/Bybit/MEXC) and community-led campaigns (AMAs, guild partnerships), plus international GTM (Nigeria) that drove ~$100k traded volume in month one and rapid social growth to 100k X followers.”

“Product-focused candidate with live B2C/product-led growth experience who translates free-to-play game mechanics (onboarding as a core loop, progressive unlocking, nudges, variable rewards) into real-world web/mobile products. Strong in live experimentation, KPI-driven iteration, and monetization/retention measurement (DAU/MAU, funnels, LTV-focused A/B testing).”