Freelance Data Science Specialists in Skopje
Freelance Data Science Specialists in Skopje
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Phoebe Yan
pro
✧ Revamp Information Hiearchy within Sofia Health
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108
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Grey Newell
Event-Driven Resilience & Invoice Processing at Scale
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56
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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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6
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Ilya Kozlov
Cryptocurrency cloud mining company, site & branding
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Shakeel Ur Rehman
Sign Language Detection
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35
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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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4
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Oaz Shakti
Dynamic Dashboard designed for insights on Sales / Customer / Executive, etc.
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64
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Paolo Perrone
Essential Tools for Data Fluency
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51
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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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Vikas Dwivedi
Designed and developed AI-powered solutions including intelligent dashboards, workflow automation systems, AI agents, chatbots, lead qualification systems, and GPT-powered business tools. Capabilities: • AI Agents • OpenAI Integration • Workflow Automation • AI Dashboards • GPT Applications • Lead Automation Systems • Internal Business Tools Technology: OpenAI, LangChain, Python, Vector Databases, APIs, Automation Platforms Industries: Startups, SaaS, Healthcare, Enterprise
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Awais Ahmed
Managment System
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41
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Ciro
Behind every star rating is a story — and behind every review is an emotion. In this project, I applied Natural Language Processing (NLP) techniques to analyze thousands of movie reviews, uncovering how audiences truly feel about the films they watch. This project shows how data can capture not just numbers, but the emotional pulse of cinema.
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