Data Systems Design Projects
Data Systems Design Projects
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Phoebe Yan
pro
✧ Revamp Information Hiearchy within Sofia Health
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Grey Newell
Event-Driven Resilience & Invoice Processing at Scale
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Cebuan de La Rochette
EcoMind™: Intelligent Voice Support Across FemTech, AgeTech & L…
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Temiloluwa Adeniyi
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Diabetes Predictive Model
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Hunter Buskirk
TrophyTracks
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Ilya Kozlov
Cryptocurrency cloud mining company, site & branding
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USMAN AKINTOBI
Context-Aware Fintech User Feedback Classification & Urgency Detection Most feedback tools stop at sentiment; positive or negative. This project goes further by building a decision-driven NLP system that classifies fintech user feedback by issue type and detects operational urgency, enabling smarter triage and escalation. What was built: Two machine learning models trained on manually collected and annotated app store reviews from real fintech platforms like Revolut, Wise, and Monzo: Issue Classifier: categorizes feedback into 9 classes including transaction issues, account security, KYC, refunds, app performance, and fraud Urgency Detector: binary classifier that flags high-risk feedback requiring immediate attention, optimized for recall to minimize missed critical cases
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Bianca Maddela
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Buxabee | Finance Management Dashboard Design
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6
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Oaz Shakti
Dynamic Dashboard designed for insights on Sales / Customer / Executive, etc.
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Paolo Perrone
Essential Tools for Data Fluency
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Tonny Thesya
Python data analysis with a written report
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Ajay Bidyarthy- AI Full Stack Developer
I specialize in transforming complex datasets into intuitive, visually compelling dashboards that drive strategic decision-making. With deep expertise in BI tools and data analytics, I design interactive, real-time reporting systems that help businesses uncover trends, monitor KPIs, and optimize performance. My approach combines data storytelling, clean UI/UX, and scalable architecture to deliver impactful insights. 🔹 My Project Portfolio: 📊 1. Executive Business Intelligence Dashboard Built a dynamic KPI dashboard for C-level executives Integrated multiple data sources (CRM, ERP, marketing platforms) Delivered real-time insights on revenue, growth, and performance Tools: Power BI, SQL, Azure 📈 2. E-commerce Analytics Dashboard Designed a dashboard tracking sales, customer behavior, and conversion rates Implemented cohort analysis and funnel visualization Improved marketing ROI tracking by 40% Tools: Tableau, Python, Google Analytics 📉 3. Financial Performance & Forecasting Dashboard Developed financial models and forecasting dashboards Visualized cash flow, P&L, and budget vs actuals Enabled data-driven financial planning Tools: Power BI, Excel, DAX 📍 4. Operations & Supply Chain Dashboard Created logistics tracking and inventory monitoring system Real-time alerts for stock levels and delays Reduced operational inefficiencies Tools: Looker Studio, BigQuery 📊 5. AI-Powered Analytics Dashboard Integrated machine learning predictions into dashboards Automated anomaly detection and trend analysis Delivered predictive insights for decision-making Tools: Python, TensorFlow, Streamlit
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Edgaras Kamandulis
This isn't Finance. It's Physics. Markets are fluids. Price is velocity. Crash is turbulence. While you stare at RSI, I am calculating the Laminar Flow. My S.C.A. Protocol applies Navier-Stokes equations to capital. If you understand this graph, you know why we need to talk. The Second Quantum Revolution is here.
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Shakeel Ur Rehman
Sign Language Detection
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Sreeja .
Skip the License Fee: I Built a Full Dashboard with Just JS Verve Pulse: Revenue & Funnel Intelligence Dashboard Most analysts stop at Power BI or Tableau. I wanted to go a layer deeper by building a fully custom dashboard in React to show what's possible when a BI tool's templates don't box you in. Off-the-shelf visualization tools are great, but they come with real limits: fixed chart types, licensing costs, and UX you can't fully control. With JavaScript, I designed and built Verve Pulse from a blank canvas. Total control over layout, interactivity, and how the story of the data actually reads to stakeholders, and deployed it for free on Vercel, with no licensing cost and no vendor lock-in. The dashboard unifies what's usually three separate reports - current performance, historical trend, and forecast as a single filterable view, with dedicated explorer views for 4 purchase funnels, 4 customer segments, and regional performance, plus a seasonality-adjusted forecast that shows its own assumptions instead of acting like a black box. What I did: Designed the full filter and data framework from a wireframe spec Built a seasonality-adjusted forecasting model (trend decomposition + monthly seasonal indexing) Designed and built the interactive dashboard end-to-end in React. Deployed it as a free, live, secure product on Vercel Why it matters: custom-coded dashboards trade a steeper learning curve for full design freedom, zero licensing cost, and infrastructure you fully control - a combination most Power BI/Tableau builds can't offer. Skills & tools: Data analysis & forecasting · Dashboard/product design · React & Recharts · Git/GitHub · Vercel deployment 🔗 Code: https://github.com/SrijaaBizAnalyst/Revenue-Analytics-Dashboard-for-Verve-Studio
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Gaston Chevarria
Mesa Llena — Websites and WhatsApp Automation for Restaurants Mesa Llena is a productized service that builds conversion-focused websites and automated WhatsApp systems for restaurants across Argentina. It helps restaurant owners get more reservations and orders 24/7, even when the staff is offline. I designed and developed the full solution: the website, the reservation flow, and the WhatsApp automation that sends menus, answers common questions, and handles bookings automatically. The goal is to turn WhatsApp from a manual chat into a scalable reservations engine, so restaurants can grow without hiring extra front-desk staff.
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