Vetted Data Analysis Professionals

“AI automation builder who shipped an OpenAI-powered weekly "trending AI tools" WoW reporting system (65 categories) that reduced a 6–7 hour manual process to ~10 minutes at negligible API cost. Also building a RAG-based content creation prompt engine that turns PDFs into storyboards with fact-checking/traceback to source lines, plus experience with AWS deployment components (Lambda, ECR, App Runner, Bedrock, API Gateway) and GitHub Actions.”

“Healthcare analytics professional with hands-on experience turning messy claims, eligibility, and utilization data into validated BI-ready models using SQL and Python. They combine strong data engineering and KPI design skills with stakeholder-facing delivery, including Power BI prototyping, retention metric operationalization, and analyses that supported care management interventions and cost-control decisions.”

“Venture/accelerator operator with experience at Newchip Accelerator (Austin) and Boomerang Venture Studios, focused on high-volume sourcing and qualifying founders and building an investor network through automated LinkedIn/email outbound and events. Known for translating outreach into founder–investor meetings, running structured discovery, and using rubric/risk grading to drive go/no-go decisions while maintaining strong post-meeting feedback loops.”

“Growth-creative and paid social marketer who runs funnel-informed creative experiments across Meta/LinkedIn (and adapts learnings to TikTok/YouTube), optimizing beyond CTR/CPL to MQL and qualified CPA. Demonstrated measurable impact by using modular creative systems, rigorous tracking (pixels + CRM events), and structured creator/editor direction to improve lead quality and downstream conversion.”

“Paid media specialist with experience owning high-spend ($50K+/month) B2B SaaS accounts across Google Search, LinkedIn, Meta, and TikTok. Demonstrated measurable pipeline impact (50% QoQ lift in Opportunities) through disciplined creative/audience testing and strong client communication, including successfully pushing back on a bid-strategy change that hurt conversions and restoring performance by returning to Max Conversions.”

“AI Engineer with production experience building an LLM-powered conversational scheduling assistant (rules-based + OpenAI GPT agents) and improving responsiveness by ~40% through architecture optimization. Strong in orchestration (Airflow), containerized deployments, and data quality (Great Expectations/PySpark), with prior work automating population health reporting pipelines (Azure Data Factory → Snowflake) and delivering insights via Tableau to non-technical stakeholders.”

“Robotics software engineer who led an autonomous nursery management robot project at Auburn University, spanning RGB-D/IMU sensor fusion, SLAM navigation, and real-time ML for plant detection/quality assessment. Strong ROS1/ROS2 background (C++/Python) with deployment on NVIDIA Jetson, including profiling-driven optimization of YOLO segmentation for real-time behavior and multi-robot (UGV/UAV) communication using ROS2.”

“Quality/process professional with hands-on supplier quality experience across consumer hardware (electric skateboards) and construction/field services. Uses rigorous statistical and root-cause methods (Ishikawa, 5 Whys) to drive CAPA closure with overseas suppliers, adding inspection gates and IQC, and validating fixes through multi-month sampling follow-up.”

syifa layla

Screened

Entry IT Testing Automation Engineer specializing in banking QA and Google Cloud

DKI Jakarta, Indonesia1y exp

“QA professional with a web and backend API testing background pivoting into console game QA; brings strong exploratory/regression testing, test case creation, and detailed bug reporting. Familiar with PlayStation/Nintendo UI patterns and gameplay flows as a long-time player, and is proactively preparing to learn console certification standards (Sony TRC, Microsoft XR, Nintendo LOT).”

Sakethram Marpu

Screened

Junior Investment Analyst specializing in AI & DeepTech

Bengaluru, India2y exp

“VC-style founder sourcer who uses technical signals (GitHub) and niche communities (Elpha/Indie Hackers/Discord) to identify early-stage opportunities, including thesis-driven sourcing in applied AI infrastructure/observability from YC W24. Emphasizes value-first LinkedIn outreach and long-horizon relationship building (e.g., built a personal relationship with Snitch’s CTO who later reached out first about a new startup).”

“Hands-on backend engineer with practical experience improving latency in Django-based API systems by fixing missing indexes and eliminating N+1 queries. Also built an AI scheduling system using FastAPI, a relational database, AI/ML workflows, and an operational reporting dashboard, with a clear bias toward correctness and maintainable architecture.”

Reena Nikam

Screened

Senior Ad Operations Manager specializing in digital and programmatic media

Mumbai, India16y exp

“Performance marketer with hands-on ownership of a high-spend, highly seasonal e-commerce account for a niche product, managing an $850k budget across DV360, Google Ads, Meta, and PMax. Stands out for combining structured testing, cross-channel attribution, and weather-based targeting to drive 30% YoY sales growth and exceed ROAS goals by 10x. Currently open to remote roles after a personal break and ready to re-enter at full speed.”

Lauren DeVera

Screened

Mid-level digital marketer specializing in paid media and performance marketing

Vancouver, WA6y exp

“Performance marketer with experience managing over $1M/month in spend, including agency work on TurboTax across TikTok, X, Meta, and Snapchat. They combine hands-on media buying with creative strategy leadership, and cite measurable gains in lead volume, ROAS, and CPL while showing a disciplined, data-driven approach to testing and scaling. Currently seeking contract work.”

“Healthcare-focused ML/AI engineer who has built clinical note summarization and medical image annotation solutions using LLMs, RAG, and multimodal models. They combine experimentation across major model providers with practical production concerns like monitoring, drift detection, and latency/cost tradeoffs, and also earned 2nd place in a Google hackathon for a medical AI assistant.”

“Built and launched a production AI knowledge assistant at Virtusa used by 8,000 people, combining RAG, tool use, and strong reliability practices to cut lookup time by 60%. Also owns full-stack delivery, including a real-time transaction monitoring dashboard built with React, Spring Boot, and Kafka handling 200K API requests per day.”

“Sales leader with experience spanning government/military and industrial markets, including a standout win at Crushproof Tubing where he helped replace a military breathing hose specification dating back to the 1950s. That redesign-driven public sector deal grew into nearly $3M in annual sales and remains with the company, while he also built sustained 30% YoY growth in the agriculture segment for four consecutive years.”

“Software engineer currently building for a wealth management platform, with hands-on ownership across React/TypeScript front ends, Azure serverless backends, and SQL data systems. Stands out for turning hackweek concepts into production features, building observability infrastructure from scratch, and delivering measurable gains in latency, uptime, incident response, and client satisfaction.”

“Candidate brings hands-on grassroots marketing and operations experience from a breakdance nonprofit, where they drove outreach to sponsors, venues, staff, and high-profile community figures to execute events. They also supported a coffee shop CEO with local market research, AI-assisted analysis, and college-focused customer targeting, showing a blend of creative community engagement and practical go-to-market thinking.”

“Candidate gained startup-facing sales experience at Larson, where they helped build a more consistent outbound pipeline targeting founders, operators, and mid-market decision-makers. They stand out for using early company signals like hiring spikes and recent funding to prioritize accounts, improve reply and conversion rates, and influence broader targeting strategy.”

“Built and deployed a scalable, production-ready LLM knowledge assistant using a RAG architecture (LangChain + vector store/FAISS) to replace keyword search for internal documents. Demonstrates hands-on expertise in hallucination reduction and retrieval quality improvements through semantic chunking, similarity tuning, prompt design, and human-in-the-loop validation, plus strong stakeholder communication via demos and visual explanations.”

“Mobile F2P product leader (11+ years) who has built and published multiple games—most notably Hexa Sort—into multi-million-dollar IPs with publishers like Lion Studios (AppLovin), Voodoo, and Tango. Known for rigorous, data-driven monetization and engagement optimization (months-long multi-variant testing, activation milestone discovery, ROAS-focused launch tuning) and for leading cross-functional teams across product, growth, and data.”

“Early-career CS/data professional with hands-on experience integrating analytics dashboards into a production MERN system, including a Redux state redesign and schema validation that delivered zero-downtime release and measurable performance gains (~30% faster APIs, 25% faster reporting). Previously a data analyst at Reliance Jio, where they extended Python-based reporting pipelines (CSV/MySQL) with automated validation and anomaly detection to improve KPI dashboard reliability and cut investigation time by ~30%.”

“ML/NLP engineer with banking domain experience who built a GenAI-powered fraud detection and risk intelligence system at Origin Bank, combining RAG (LangChain + FAISS), fine-tuned BERT NER, and GPT-4/Sentence-BERT embeddings. Delivered measurable impact (25% higher fraud detection accuracy, 40% less manual review) and emphasizes production-grade pipelines on AWS SageMaker/Airflow with strong data validation and scalable PySpark processing.”

“Performance marketer managing multiple high-spend accounts across Grouped Stalls and Donor Media, overseeing $100K+/month across Google Ads (Search/Shopping/Display/YouTube), Microsoft Ads, Meta, TikTok, and affiliate networks (Rakuten, ShareASale). Experienced in both e-commerce (ROI/ROAS-driven) and lead generation (CPL/CPA-driven) programs, with a structured A/B testing and budget reallocation approach grounded in statistical significance and MoM/YoY analysis.”