Predictive Analytics Jobs

ob Title: Data Scientist Role Overview: We are seeking a Data Scientist to help us transform our CRM, Gradlynk, into a more intelligent, AI-driven platform. The role will focus on leveraging data to enhance student engagement, improve learning outcomes, and optimize operational efficiency across our edtech ecosystem. Key Responsibilities: -Collect, clean, and analyze data from Gradlynk and other sources to generate actionable insights. -Develop predictive models and machine learning algorithms to personalize student experiences and forecast performance trends. -Collaborate with IT, Product, and Operations teams to integrate AI-driven features into Gradlynk. -Translate complex data findings into clear recommendations for educators, administrators, and business stakeholders. -Monitor an...

I'm looking for an expert to help me build effective AI prompts for numerical data analysis. The AI will assist with: - Data Visualization: Creating insightful graphs and charts. - Predictive Analytics: Forecasting trends and outcomes. - Statistical Analysis: Performing complex statistical calculations. Ideal skills and experience: - Proficiency in AI tools and prompt engineering. - Strong background in data analysis, especially with numerical data. - Experience in data visualization tools (e.g., Tableau, Power BI). - Knowledge of statistical methods and predictive modeling. Your assistance will help streamline these tasks and enhance accuracy.

I’m ready to turn a fresh idea into a working MVP and need an AI specialist who can own the end-to-end predictive analytics layer. The single most important outcome is a model that takes my existing data, produces reliable forecasts, and is simple enough to slot straight into a lightweight product demo. Here’s the scope in plain words: • Select and train an algorithm that balances accuracy with speed—feel free to use Python, TensorFlow, PyTorch, or another framework you prefer, so long as the environment is reproducible. • Wrap the model in a small REST or GraphQL API so I can call predictions from a basic front-end. • Hand over deployment instructions for a cloud environment (AWS, GCP, or Azure—your choice) so the MVP runs in a real setting, n...

TechIcee AI Assistant is a custom-built AI system integrated into the TechIcee School Management SaaS platform. TechIcee already operates as a comprehensive digital ecosystem for schools, including dashboards, attendance, communication, analytics, and smart administration. The AI Assistant will act as: AI Academic Assistant AI Admin Automation Engine AI Parent Support Bot AI Data Intelligence Layer AI Teacher Productivity Tool This project is for hiring a skilled AI Developer on Freelancer who can design, build, train, and integrate this assistant into our existing SaaS architecture. 3. Objective of the Project To build a secure, scalable, production-grade AI Assistant integrated into: Web Admin Panel Teacher App Student App Parent App The assistant must: Understand school-specific data An...

I am assembling a full-stack solution that ingests live financial databases, open-source macroeconomic feeds, and user-submitted figures, then turns all of it into forward-looking insights. The core of the product is an AI layer that delivers predictive analytics and runs configurable scenario simulations; the results need to surface instantly inside an intuitive web dashboard where users create and save their own reports and visual layouts. What I need from you is an end-to-end build: • Data layer – connectors that automatically pull structured and unstructured data from the three source categories above, plus a storage design that can scale as historical records grow. • ML & simulation engine – time-series forecasting models, Monte Carlo or agent-based simula...

Hiring: AI Bot Development Company – Truck Valuation System (AU-Based Company) We are an Australian-based company seeking an experienced AI development company to build an intelligent AI bot capable of performing truck valuations. Project Overview: We require an AI-powered solution that can accurately assess and estimate the market value of trucks based on various data inputs such as make, model, year, condition, mileage, location, and current market trends. Key Requirements: Development of an AI bot capable of automated truck valuations Integration with market data sources and historical sales data Ability to continuously learn and improve valuation accuracy User-friendly interface (web-based or API integration) Secure data handling and compliance with Australian data standards E...

I need an expert to develop predictive models using AI on airway assessment parameters for my research thesis. The project needs to be completed within a month. Key Requirements: - Expertise in AI and machine learning - Experience with predictive modeling - Familiarity with healthcare data, especially airway assessment parameters - Strong analytical skills Ideal Skills and Experience: - Background in data science or related field - Proficiency in programming languages such as Python or R - Experience with AI tools and frameworks - Ability to interpret and visualize complex data Please provide a portfolio with relevant experience.

The heart of the product is Data analytics and reporting. Every logged record must flow into a robust pipeline that supports: • Real-time data visualization so case managers, HR and WHS officers can watch trends as they unfold. • Predictive analytics to help organisations spot emerging risks before they escalate. • Custom report generation that lets Admin, Editor and Viewer roles export exactly what they need, in their preferred format. The system will include: Secure user authentication and role-based access Multi-organisation (multi-tenant) architecture Structured assessment forms and data capture Incident/workflow management functionality Dashboards with trend analysis and reporting Export capabilities and audit logging Cloud hosting in Australia This is ...

I’m building a smart irrigation setup that links a Raspberry Pi edge server with several ESP32 nodes in the field. Each ESP32 gathers data from soil-moisture probes, compact weather boards (temperature, humidity, barometric pressure), and inline flow meters, then reports everything wirelessly to the Pi for processing. Here’s what I need from you: • Python (Raspberry Pi) and MicroPython/C++ (ESP32) code that ingests the raw sensor streams, pushes them through an on-device model, and decides—within seconds—whether to start or stop the main pump and which solenoid valves to open. • An ML pipeline: training notebooks, a lightweight model (TensorFlow Lite or similar) and the inference wrapper that runs locally. The model must act on current soil-moisture rea...

I need a single-file Excel dashboard that lets me monitor revenue and expenses alongside overall profit-and-loss performance, then projects those figures forward with clear, reliable forecasts. The workbook should pull raw data from one or more clean tables, refresh at the click of a button, and display the key numbers through interactive charts, slicers or drop-downs so I can drill down by month, quarter and year. A dedicated section for predictive analytics—using built-in Forecast Sheet, Power Query/Power Pivot, or another proven method you prefer—should show at least a 12-month outlook with confidence intervals highlighted. Deliverables • Finished .xlsx file, no external add-ins required • Documentation tab outlining data layout, formulas or DAX measures,...

I’m building a smart irrigation setup that links a Raspberry Pi edge server with several ESP32 nodes in the field. Each ESP32 gathers data from soil-moisture probes, compact weather boards (temperature, humidity, barometric pressure), and inline flow meters, then reports everything wirelessly to the Pi for processing. Here’s what I need from you: • Python (Raspberry Pi) and MicroPython/C++ (ESP32) code that ingests the raw sensor streams, pushes them through an on-device model, and decides—within seconds—whether to start or stop the main pump and which solenoid valves to open. • An ML pipeline: training notebooks, a lightweight model (TensorFlow Lite or similar) and the inference wrapper that runs locally. The model must act on current soil-moisture rea...