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Vetted Data Analysis Professionals
Pre-screened and vetted.
Michelle Jimenez
HR Director specializing in HR strategy, benefits/payroll, and industrial security programs
“People/HR leader focused on retention, engagement, and organizational effectiveness—partnering with executives to implement performance review systems, redesign teams for growth, and improve hiring/onboarding. Brings strong employee relations experience (including harassment investigations) and uses people metrics and market research to optimize benefits and drive participation.”
Abhishek Ingle
Junior Full-Stack & AI Software Engineer specializing in React/Next.js and LLM systems
“Backend engineer with hands-on experience building low-latency, high-concurrency real-time chat on AWS (Node.js/Socket.IO/MongoDB) and improving reliability under unstable networks, contributing to ~40% user adoption growth. Also built FastAPI-based AI assistant context retrieval (RAG) APIs with embeddings/vector search, and has strong production experience in rate-limit handling, async refactors with safe rollout, and Supabase Auth/RLS optimization.”
Nilsen Humphrey
Mid-level Event Marketing Manager specializing in audience growth and brand strategy
“Lifecycle/CRM marketer in the live events space (LA Comic Con) who builds segmented post-purchase journeys in Mailchimp using ticketing/CRM data. Demonstrated measurable impact (25% lift in hotel conversions; ~58% open rate) and strong cross-functional execution across creative, merchandising, and operations, including premium VVIP product launches and on-site experience design.”
Marvin Kaunda
Mid-level Full-Stack Product Engineer specializing in SaaS and AI search
“Two-time founder and former CTO/CPO who has shipped and operated full-stack products solo, including a real-time community platform (Twitter/Slack-like) with Next.js/TypeScript, WebSockets, Redis, and strong post-launch analytics (PostHog/Sentry). Also built durable multi-step AI-agent workflows using Inngest with state machines, checkpointing, and validation gates, and has hands-on Postgres performance tuning experience validated via EXPLAIN ANALYZE.”
Sowmya Mogireddy
Mid-level Data Analyst specializing in analytics, BI, and predictive modeling
“Analytics professional with cross-domain experience spanning healthcare claims, logistics optimization, and customer booking funnels. They combine strong SQL/Python execution with stakeholder alignment and operational adoption, and can point to measurable impact including 18% healthcare cost optimization and 24% logistics savings.”
Harsh Shah
Intern-level product and data analyst specializing in analytics and automation
“Analytics candidate who has built full-stack data products end to end: from cleaning 1M+ retail transactions in MySQL to Python-based market basket analysis, churn segmentation, and Streamlit dashboards with Gemini-powered business recommendations. Also built a reproducible predictive modeling workflow for concrete strength forecasting, showing a blend of SQL, machine learning, and stakeholder-friendly delivery.”
Nigel Singh
Mid-level operations coordinator specializing in data reporting and scheduling
“Works in airline day-of-operations scheduling, where they manage flight attendant schedule modifications under tight time constraints and FAR regulations. Their experience centers on preventing crew legality violations, coordinating with controllers and pilot teams, and using schedule codes to ensure delay-related pay is captured accurately.”
Darshan Vithlani
Mid-Level Growth Marketer specializing in paid media, demand generation, and marketing analytics
“Performance-focused paid social creative lead with deep Meta experience in DTC/eCommerce for a bridal brand, owning strategy, briefs, testing, and QA while delegating production. Known for rapid iteration (8–12 variants/week) and measurable lifts (2.8 ROAS; CPA down 25%+), plus strong UGC direction and landing-page alignment that materially improves conversion.”
Charith Kandula
Mid-level Conversational AI Engineer specializing in enterprise chatbots and workflow automation
“Built a production LLM/RAG document extraction and game/quiz content workflow using LLaMA 2, LangChain/LangGraph, and FAISS, achieving ~94% accuracy and reducing turnaround from hours to minutes. Demonstrates strong applied MLOps/orchestration (CI/CD, MLflow, Databricks/PySpark), robust handling of noisy/variable document layouts (layout chunking + OCR fallbacks), and practical reliability practices (human-in-the-loop routing, drift monitoring, A/B testing).”
Hailey Taylor
Senior Performance Marketer specializing in SEM, ABM, and demand generation
“Paid media/SEM owner at Pulseway managing $180K–$230K monthly spend across Google Ads, Microsoft Ads, and Capterra, with a strong emphasis on MQL quality and MQL-to-opportunity conversion rather than lead volume. Runs disciplined, controlled testing across creative, keywords, audiences, and bidding (including Performance Max), and partners closely with sales feedback to reduce junk leads and improve pipeline contribution.”
Jhansi Priya
Mid-level AI/ML Engineer specializing in GenAI, RAG pipelines, and agentic workflows
“Applied AI/ML engineer with hands-on production experience building a RAG-based AI assistant for pharmaceutical maintenance troubleshooting using LangChain + FAISS/Pinecone, including a custom normalization layer to handle inconsistent terminology and duplicate document revisions. Also built Airflow-orchestrated pipelines for document ingestion/embeddings and predictive maintenance workflows (SCADA ETL, drift-based retraining), and partnered closely with production supervisors/quality engineers via Power BI dashboards and real-time alerts.”
Sophia Kieffer
Senior Marketing & E-commerce Professional specializing in brand, social, and influencer strategy
“Growth-creative marketer focused on direct-response performance across Meta, TikTok, and YouTube, with hands-on experience building and iterating UGC ad systems. Led a creative shift for a skincare brand from polished studio content to benefit-led UGC, resulting in ~15–20% lower CPA and improved ROAS, and established the winning structure as the new baseline for future iterations.”
Jai Vilatkar
Junior AI/ML Developer specializing in GenAI, LLM agents, and RAG systems
“Built and shipped an agentic RAG chatbot module for NexaCLM to answer questions across large volumes of contracts while minimizing hallucinations and incorrect legal interpretations. Implemented routing between vector retrieval and ReAct-style agent retrieval plus an automated grading/validation layer (cosine-similarity thresholds, retries) and deployed via GitHub Actions to Azure Container Apps, partnering closely with legal stakeholders to define risk/clause-focused objectives.”
Luis Huesca
Senior Unity Developer specializing in mobile games, rendering, and live-ops monetization
“Unity/C# gameplay engineer who owned and shipped a data-driven premium pass system for Adventure Chef, built for live-ops reuse and rapid remote iteration, and solved tricky progression/purchase state consistency (offline progress, mid-season premium unlocks) via idempotent reward processing. Also shipped a VR multiplayer shooter using Photon, focusing on lightweight sync, prediction, and practical debugging of desync/disconnect edge cases.”
Pooja Dhanaji Bodke
Junior Data Analyst specializing in BI, analytics, and machine learning
“Analytics professional with hands-on experience turning messy Excel-based operational data into SQL/Python pipelines and Power BI dashboards, including a production bottleneck project that improved workflow efficiency by 20%. Also brings applied machine learning experience from a Databricks/PySpark loan risk scoring project using logistic regression and XGBoost on large-scale S3 data.”
Divyanshu Pandey
Mid-level Data Analyst specializing in analytics, reporting, and operational insights
“Analytics candidate with hands-on experience turning messy retail/customer data into clean reporting tables using SQL and PostgreSQL, then extending the work into Python-based reusable analysis workflows. They have applied segmentation, cohort analysis, and retention metric design to support dashboards and improve targeting, engagement, and repeat purchase performance.”
Katy Repa
Junior Product Engineer specializing in sporting goods and athlete performance
“Former D1 softball player at Stephen F. Austin and the University of Houston who turned her own recruiting, injury, transfer, and scholarship journey into a career advising athletes. She now runs the Easton/Rawlings Fastpitch ambassador program, growing it to 250 players in six months and helping drive major brand launch visibility, while also coaching and mentoring young athletes on recruiting, NIL, and long-term fit decisions.”
Will Hu
Intern-level Software Engineer specializing in machine learning and backend systems
“Software development intern who owned and shipped a production-used WeChat mini-program (JavaScript + MongoDB) serving ~3,000 users in a semester. Emphasizes maintainable UI architecture through modular, reusable components and clear separation between UI presentation and data/business logic, with a performance mindset (caching/reducing redundant updates).”
Sreshta Reddy Basi Reddy
Entry-level Software Engineer specializing in systems, data, and full-stack development
“Built a production-style hackathon prototype for analyzing healthcare facility data and identifying medical deserts via natural-language queries. Stands out for a pragmatic applied-AI approach: separating retrieval from LLM reasoning, using structured JSON outputs, and designing fallbacks and data-quality checks to keep recommendations grounded and reliable.”
Samuel Morse
Mid-level game development and 3D content professional with cross-industry customer service experience
“Unity/C# gameplay programmer focused on solo-built prototypes, including a P2P multiplayer card game framework, evolving creature systems, and cross-platform mobile/web experiments. They show strong self-directed learning in Unity Netcode, lobby integration, custom input/UI systems, and early exploration of AI/LLM use cases for game content and creature behavior.”
Peter Major
Senior Sales and business development professional with accounting experience
“Outbound sales candidate with high-volume cold-calling experience across restaurant/bar POS and home-services software sales. Stands out for a personable, relationship-first approach that turned cold outreach into demos and wins, including converting a restaurant owner from outdated software to a new POS system.”
Irina Morris
Senior Full-Stack Engineer specializing in scalable web platforms and cloud migrations
“Full-stack architect/engineer with startup and Meta experience who built a real-time school safety and lockdown coordination platform used by schools and emergency organizations. Particularly compelling for roles requiring ownership in ambiguous environments, real-time systems design, and configurable B2B SaaS platforms in high-stakes domains.”
Conor Higgins
Senior VR/Interactive Media Developer specializing in Unity-based industrial training simulations
“UK-based Unity developer who served as the sole developer building VR training scenarios for the oil & gas industry, deploying to Meta Quest and Pico 4 via OpenXR. Experienced translating complex real-world procedures (e.g., offshore rigging/lifting) into interactive VR flows using storyboards, C# scripting, and iterative client testing; also built a Unity web-based SCORM-compliant training course integrating with a SCORM backend via JavaScript.”