Analítica Predictiva Jobs

I'm looking for an expert who can integrate AI into our stock trading operations. The primary focus will be on predictive analytics. Key Requirements: - The AI should utilize market profile and order flow charts as data sources for its predictions. Ideal Skills: - Experience in AI development, specifically for financial markets. - Strong understanding of stock trading, market profiles, and order flow. - Ability to create accurate predictive models. Looking forward to your proposals!

Temporal Lesion-Aware Dynamic Gated Multimodal Fusion Framework for DR and DME Analysis Using OLIVES and MMRDR Datasets Framework Overview The proposed framework introduces a Temporal Lesion-Aware Dynamic Gated Multimodal Fusion System for automated analysis of Diabetic Retinopathy (DR) and Diabetic Macular Edema (DME) using multimodal retinal imaging data. The framework combines fundus images, OCT scans, longitudinal retinal information, and optional clinical metadata to improve retinal disease classification, biomarker understanding, and temporal disease progression analysis. Unlike conventional multimodal retinal systems that use static feature fusion, the proposed framework employs a: Dynamic Gated Cross-Modal Fusion Mechanism that adaptively learns the importance of each retinal modal...

I'm looking to develop a comprehensive fitness app tailored for women, with a focus on overall well-being. The app should be centred around science-based fitness, with features like: -Personalized fitness and recovery recommendations -Adaptive training programs based on user trends and behaviour -Hormone- and cycle-aware wellness insights -Symptom, recovery, and flare tracking -Nutrition and diet tracking -Mental wellness and behavioural support tools -Progress analytics and intelligent habit tracking -Dynamic onboarding and personalized user profiling -AI-assisted recommendations and adaptive UX elements -Scalable content systems for workouts, education, and wellness resources What We’re Looking For: We’re seeking developers with experience in one or more of the follow...

I have a historical sales dataset that I need turned into a reliable forecasting tool. Your task is to apply predictive analytics to uncover the underlying patterns in the data and generate accurate projections of future sales. Here’s how I see the engagement flowing: you will start by cleaning and exploring the raw files, engineer any features that improve signal, then build and validate a forecasting model. I’m open to the techniques you feel are most appropriate—ARIMA, Prophet, gradient-boosted trees, or a custom deep-learning approach—so long as the final model proves its worth on hold-out data. Deliverables • A fully documented model (code + reproducible environment) • A brief methodology report that explains assumptions, key drivers, and accu...

I am competing in a HackerEarth data-science contest and I want to push my score into the top tier of the leaderboard before the challenge closes next month. I have already set up the competition workspace and can grant you immediate access to the dataset, rules, and current public-leaderboard baseline. Here is what I need from you: build, tune, and iterate a high-performing regression model, supply well-commented code (Python is preferred, but you are free to choose the stack you are fastest with), and hand over a prediction file ready for final submission. Along the way, please keep a concise notebook or script that allows me to reproduce your workflow end-to-end on my own machine. In your bid, include links or brief summaries of past work that demonstrate strong results in similar com...

I am building a research-grade pipeline that focuses first and foremost on Diabetic Retinopathy (DR) grading, while keeping an eye on downstream extensions such as DME detection, retinal biomarker discovery, longitudinal modelling, cross-dataset generalisation and explainable retinal AI. Data at hand • Thousands of colour fundus photographs sourced from OLIVES, MMRDR and my own curated set. • Structured patient medical history accompanying a subset of those images. Core objectives 1. Train and validate a model that assigns the correct severity level to every DR image. 2. Surface early-stage indicators that could alert clinicians before conventional thresholds are reached. 3. Provide per-patient progression tracking so that sequential visits can be plotted and foreca...

I need a model for predicting the success of bariatric surgery in adolescents with diabetes using parameter estimation. The model should be based on clinical data. Data Available: - Clinical data: Medical history, Laboratory results - Preferred methods: Combination of statistical analysis and machine learning Ideal Skills: - Expertise in statistical analysis and machine learning - Experience with clinical datasets - Strong background in medical data interpretation

I need a Python-based algorithm to assist with trading NSE options using real-time market data. Key Requirements: - Optimize trading strategies - Implement risk management Ideal Skills and Experience: - Expertise in Python - Experience with real-time market data - Strong background in options trading and algorithm development - Ability to create predictive models and optimize trading strategies Please provide a portfolio of similar work.

I have a clean, ready-to-use dataset and now need a complete predictive analysis pipeline built around it. The job is straightforward: take my data, explore it, engineer the right features, train and tune an appropriate model, and hand back production-ready code that I can rerun whenever new records arrive. Python is my preferred language, and I’m comfortable with common libraries such as pandas, scikit-learn, XGBoost, TensorFlow or PyTorch—feel free to choose whichever stack best fits the problem once you’ve inspected the data. Please keep everything reproducible: a single script or notebook, a clear , and comments that explain why each step was taken. Acceptance criteria • End-to-end code executes without errors on my machine. • Model delivers a measurab...