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I am seeking a seasoned political researcher to produce forward-looking insight on major international events. My priority is predictive analysis—clear, data-grounded forecasts that outline likely scenarios, time-frames, and potential ripple effects across regions. Scope • Blend quantitative indicators (polling, macro-economic data, military posture, sanctions, etc.) with qualitative sources (policy papers, diplomatic statements, expert interviews). Deliverables 1. A concise executive brief (≈1,500 words) highlighting the top findings and headline predictions. 2. A supporting research dossier that details data sources, methodology, and reasoning. 3. Visual aids—charts, trend lines, or heat maps—to make the narrative immediately clear. Acceptance Cri...

I'm looking for an experienced Azure developer to build a data analytics platform focused on predictive analytics and data visualization. The platform will need to integrate with various APIs. Key Requirements: - Predictive Analytics: Implement models to forecast trends and insights. - Data Visualization: Create intuitive dashboards and visual reports. - API Integration: Seamlessly connect with multiple data sources via APIs. Ideal Skills and Experience: - Strong expertise in Azure services, especially related to data analytics. - Proficiency in predictive modeling and data visualization tools. - Experience in API integration and handling complex data flows. If you have a proven track record in building similar platforms, I would love to hear from you. Please provide examples of yo...

I’m building a future-ready web platform that marries a sleek, modern UI with genuine AI power. At its core sits a predictive analytics engine that surfaces real-time insights for visitors—trend forecasts, usage predictions, and data snapshots that update as each interaction occurs. The interface must feel effortless: clean layouts, fluid micro-animations, and full responsiveness across desktop, tablet, and mobile. Immersion is just as important as intelligence. I need interactive 3D models rendered right in the browser so users can rotate, zoom, and explore products or data outputs smoothly, without plugins. These models should react to the predictive analytics feed, updating geometry or overlays the instant new data arrives. Please keep the architecture modular and scalable...

ALL PAY IS performance based I need to promote new film the 1st documentary all Christ teaching "The 40 Parables" see here I am starting a global B2B outreach starting in USA from Amazon SES and need an AI specialist who has already proved they can benifit SES in many ways from keeping large-scale campaigns out of spam folders and into decision-makers’ inboxes. My immediate priority is email delivery optimization—our small beta sent 50,000 through SES saw roughly 50%+ opens and 40%+ clicks but 0001% conversions, so I know the messages are reaching eyes; they are just not converting, and I want to multiply volume without multiplying problems. Because I am new to B2B email (I’m a 72-year-old documentary producer expanding into sponsorship and distribution part...

I need to turn historical patient-record data into a reliable model that predicts individual outcomes and flags high-risk cases early. The raw material is a sizeable set of anonymised electronic health records: demographics, vitals, lab results, admission notes, discharge summaries—typical structured tables mixed with a handful of free-text fields that have already been de-identified. Here is what I’m after: • A clean, reproducible pipeline in Python and SQL that pulls the records, handles missing values, encodes categorical variables, and outputs a model-ready dataset. • One or more predictive models built in scikit-learn (feel free to benchmark XGBoost or similar) together with well-explained feature importance. AUROC is the key metric; I’d like to see cr...

Desarrollo de IA para Mantenimiento Predictivo y Preventivo de Cintas Transportadoras Logísticas Descripción del Proyecto Busco un desarrollador o equipo especializado en Inteligencia Artificial, Machine Learning e Industria 4.0 para diseñar y desarrollar una solución de mantenimiento predictivo y preventivo aplicada a cintas transportadoras utilizadas en centros logísticos, almacenes automatizados y plantas industriales. El objetivo es crear una plataforma inteligente capaz de monitorizar el estado de las cintas transportadoras en tiempo real, detectar anomalías, predecir averías antes de que ocurran y generar recomendaciones automáticas de mantenimiento. ⸻ Objetivos Principales 1. Monitorización en tiempo real La IA de...

I am conducting an ongoing series of studies that investigate new machine-learning algorithms for computer-science and electronics applications. To keep the research engine running, I need a Python-savvy data analyst who can turn structured datasets into solid predictive models and then translate the results into clear, publication-ready writing. Your typical workflow will involve cleaning and feature-engineering data in pandas, building and evaluating models with scikit-learn (and, when helpful, TensorFlow or PyTorch), and producing insightful visualisations. Once the analytics are sound, I’ll count on you to craft well-structured manuscripts—complete with methodology, metrics, figures, and proper citations—that can be submitted to journals or conferences in the IEEE ec...

The project centres on building an AI-powered customer-relationship-management platform where data analytics integration shapes every decision. Advanced personalisation remains a key theme, yet the first milestone is a robust analytics layer able to ingest multi-channel customer data, surface predictive insights in real time, and feed them back into the CRM for automated, highly targeted experiences. To guarantee a product users love, the plan also calls for continuous A/B testing and structured user-feedback analysis. Results from each experiment will loop straight into the design backlog so that UX refinements happen quickly and are always evidence-based. Key deliverables • Analytics engine connected to the CRM database and external data sources, producing actionable dashboa...

Mais detalhes: Which platforms will the Aviator predictor be used on? Mobile, Web What functionality do you need in the Aviator predictor? Real-time predictions, Historical data analysis How will the data be sourced for the Aviator predictor? Manual data input