Freelance Data Analysts in LortonFreelance Data Analysts in Lorton
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George Railean's avatar
George Railean
Merrifield, USA
AI Interface designer and developer.
AI Interface designer and developer.
Cover image for For this project, I had
For this project, I had the chance to design a VR training system for soldiers, simulating real-world mission scenarios. My focus was on creating an interactive, efficient, and accessible experience, ensuring both learning effectiveness and user engagement. Each screen was crafted to deliver essential information clearly and intuitively - from risk zone symbols to interactive mission progress charts. The integration of real-time feedback empowers soldiers to make swift tactical adjustments, ensuring quick decision-making during training. This project blends cutting-edge VR technology with human-centered design, allowing soldiers to interact confidently with the system while preparing for any situation, all without the risks of traditional field training.
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Cover image for As a designer, I focused
As a designer, I focused on crafting an experience that brings clarity to complexity. This project embodies the future of intelligent stadium management and sets a new standard in how we interact with data at scale. This bird’s-eye view gives an effortless preview of how data flows across the venue, highlighting availability, network performance, and traffic patterns, helping managers ensure smooth operations for thousands of spectators. Through motion-driven design, complex data is turned into meaningful insights. Dynamic, color-coded charts and intuitive visuals reduce cognitive load, offering clear, actionable information, like network status, crowd accessibility, and engagement - at a glance. The real power of this animation lies in its ability to provide contextual insights at scale, enabling proactive decision-making.
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Cover image for I’m excited to share EyeViz
I’m excited to share EyeViz - a data-driven dashboard suite for exploring mutual funds through an artistic, human lens. ✨ 👁️ Data You Can See (Eye Chart) Meet the hero screen: a living iris where each colored blade maps an asset class, orbiting a bold KPI. It’s data-as-vision - instant clarity on allocation, balance, and momentum - with a slim Interactions stream and a built-in AI sidekick for quick explanations. 💡 Research Workspace Search, compare, and understand — fast. Clean tables, smart chips, and a compact chart show stability, income focus, diversification, and risk side-by-side. The chat panel flags Unverified insights so trust stays front and center. 📱 Personal Workspace Your everyday hub: activity tiles, pinned studies, and ongoing team chats - so you can jump back into work in seconds and keep insights reusable.
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Cover image for An animated interface designed to reflect the precision of i...
An animated interface designed to reflect the precision of industrial intelligence - a sleek, high-level dashboard built to orchestrate robotics, production analytics, and system-wide monitoring. From robot status indicators to real-time task flow and factory zone mapping, every visual layer is crafted for engineers who demand clarity at a glance and precision at scale. Instant visibility across all production zones Seamless integration of robotic systems Performance insights delivered live Designed for decisions - not just data Welcome to the new standard in industrial UX: fast, focused, and fully connected.
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Data Analyst(4)
Michael Gould's avatar
Michael Gould
Lorton, USA
Workflow automation for forms, CRMs, Zapier, Make, n8n.
New to Contra
Workflow automation for forms, CRMs, Zapier, Make, n8n.
Cover image for A self-initiated workflow automation demo
A self-initiated workflow automation demo showing a simple lead handoff: intake, routing, CRM or sheet logging, owner notification, and test-ready review output.
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Cover image for Self-initiated internal product. Odds Desk
Self-initiated internal product. Odds Desk uses public data only. It is not client work, a trading tool, or financial advice. I built this because a research brief is only as trustworthy as the source snapshot behind it. Catalog freshness, derived summaries, file identity, and editorial status need to stay consistent across every generated artifact. The workflow synchronizes a public catalog, exports one canonical bundle, generates and validates a summary, regenerates a manifest, checks declared SHA-256 values against disk, and produces a dashboard and Markdown brief from the same saved files. The workflow fails closed. If a required validation fails, the bundle stops, the evidence is preserved, and no buyer-ready issue is produced. The gallery shows a July 30, 2026 snapshot with 675 saved markets, 36 unverified research leads, zero verified cards, and four of four declared hashes matching disk. The state remains RESEARCH_PREVIEW. Best fit: public API ingestion, reproducible research bundles, validation pipelines, provenance checks, fail-closed editorial workflows, and automated briefing systems.
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Cover image for A self-initiated Brief Factory internal
A self-initiated Brief Factory internal system. The gallery shows public post titles only. No names, handles, contact details, or private messages are shown. I built this to make public automation research more consistent. Instead of manually checking communities for scattered requests, the monitor reads selected RSS and Atom feeds, normalizes source URLs, rejects stale or generic items, scores observable workflow pain, deduplicates accepted rows, and records source health. The output is a structured review queue, not permission to contact anyone. The system does not post, bid, message, or send. The gallery shows a dated run from July 30, 2026: seven configured feeds, seven review rows, two HTTP 429 rate limits, zero high-intent rows, and zero external actions authorized. Best fit: public-source monitoring, qualification queues, source-health reporting, research triage, and review-first opportunity workflows.
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Cover image for HVAC Lead Handoff Rescue Case Study
HVAC Lead Handoff Rescue Case Study
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Data Analyst(3)
D’Mya Sanford's avatar
D’Mya Sanford
Washington, USA
Automating the boring stuff = better work/life balance.
$5k+
Earned
2x
Hired
1
Followers
Automating the boring stuff = better work/life balance.
Cover image for Digital Transformation Plan: AI Strategy
Digital Transformation Plan: AI Strategy
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Cover image for Netflix Customer Demographic Visualizer: AI Data Analysis
Netflix Customer Demographic Visualizer: AI Data Analysis
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Cover image for CRM Data Migration : AI Data Prep
CRM Data Migration : AI Data Prep
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Data Analyst(2)
The Zcribbla's avatar
The Zcribbla
Washington, USA
Business Writing: Storytelling for Success
5.0
Rating
Business Writing: Storytelling for Success
Cover image for Grant Writing for Non-Profit Organization
Grant Writing for Non-Profit Organization
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Cover image for Business Plan Development for Startup Company
Business Plan Development for Startup Company
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Cover image for CBE Application for Minority-Owned Business
CBE Application for Minority-Owned Business
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Cover image for Capability Statement
Capability Statement
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Data Analyst(3)
Insight Bridge Solutions LLC's avatar
Insight Bridge Solutions LLC
Dale City, USA
Data Analytics & BI Consulting for Gov, Higher Ed, Finance
New to Contra
Data Analytics & BI Consulting for Gov, Higher Ed, Finance
Cover image for Enterprise Data & BI —
Enterprise Data & BI — Public University System. Real professional experience (employer name withheld per confidentiality practice): built ETL/ELT pipelines integrating SIS, ERP, and financial data, and delivered Power BI/Tableau/SAS dashboards for institutional leadership.
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Cover image for Small Business Operations Dashboard —
Small Business Operations Dashboard — a demo Power BI–style build on synthetic data showing the three questions every dashboard should answer: what needs attention, who owns it, what's overdue. KPI cards, a 12-month revenue vs. expense trend, expense breakdown, and an auto-flagged action list.
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Cover image for Data Governance & Quality Framework
Data Governance & Quality Framework — a demo template I use to structure governance conversations at the start of an engagement: four pillars (data quality, access & security, documentation, monitoring) plus a pre-engagement checklist. Built on synthetic/generic data to show documentation style, not tied to a specific client system.
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Cover image for Data Lineage & Quality —
Data Lineage & Quality — Global Financial Services Firm. Real professional experience (employer name withheld per confidentiality practice): produced data lineage, mapping, and quality documentation for enterprise analytics initiatives, ran complex SQL transformations supporting financial processing and reporting tools, and facilitated stakeholder meetings to define business requirements.
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Data Analyst(3)