Ciencia de datos Jobs

I want to build a custom large-language model that goes beyond text-only chat. The goal is a predictive engine that can read free-form text, combine it with numerical features, and return forward-looking insights. In practice that means designing an architecture able to embed and fuse both modalities, training it on my mixed dataset, and validating that the model can reliably forecast the target variables we care about. You will take me from data preprocessing through to an inference-ready checkpoint. I expect clean Python code (PyTorch or TensorFlow), sensible use of the Transformers or similar libraries, and a clear explanation of why each modelling choice was made. Please include evaluation notebooks that show the lift over conventional baselines and provide an API-style script so I ca...

I have a complete survey dataset and I need an experienced structural equation-modelling specialist to uncover and clearly explain the relationships that exist among its variables. I will give the conceptual model to test... I need factor loadings, the path diagram and all the tables and figures usually a SEM model should have, I have the dataset with me, if the results are not as expected, you may need to adjust the data a little bit. Please note that you may have to analyse multiple times to get the desired results. So please don't expect me to pay you in the first run. I need it immediately,, i don't prefer who can do it in a week,, for me always the lowest quote wins the deal.. You may use AMOS or SmartPLS or Jamovi for this task.

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I have just 700 indoor photos that must be labelled for an my project upcoming object-detection model. Every visible person and every seat that is currently occupied needs its own bounding box, and because the network will train on oriented-bounding-box (OBB) data, the rectangles have to follow the exact rotation of the body or seat—especially when someone is leaning. Data is of infrared camera of a cinema check samples , please note there can be many people in one image i want each to be marked properly You will work inside the simple browser-based annotation tool I built for this purpose or any other annotation tool you like. drag the box corners, spin the angle handle where needed, hit save, and move to the next frame; the app tracks progress automatically so nothing is missed....

**Project Brief: Survey Data Analysis Using MAXQDA** I am looking for an experienced researcher/data analyst to support a large-scale survey analysis project. **Scope of Work:** * Total of **50 survey datasets** * Each dataset contains responses from **100 participants** * Analysis must be conducted using **MAXQDA** * For each dataset, you will: * Perform qualitative/quantitative analysis * Identify key insights, themes, and patterns * Deliver a **3–4 page summary report** highlighting key findings **Deliverables per Dataset:** * MAXQDA project file (if applicable) * A structured **3–4 page report** including: * Key insights * Patterns/trends * Relevant interpretations **Compensation:** * **$250 per dataset analysis** * Payment will be structured into **2 m...

I am looking for a programmer or a development team with proven experience in building an intelligent KPI system and a decision support platform, based on data analysis and smart interactive presentation that helps management read performance, understand trends, and make better decisions. The project includes developing a system with 30 to 40 indicators, along with smart dashboards, practical analytics, and the use of AI for forecasting, analysis, and highlighting recommendations. Application Requirements: *** The proposal must begin with the word “Reviewed”. Any proposal that does not include samples of similar previous work will not be considered. The response should begin with a sentence that reflects actual understanding of the project details. Please clarify the propose...

I need an experienced Natural Language Processing specialist to build a predictive model that learns from text data and produces accurate, repeatable forecasts. The project centers on end-to-end model creation: cleaning and preprocessing raw text, selecting the right architecture, training, and evaluating performance against clearly defined metrics. I will supply the text dataset along with the target variable I want predicted. You will decide on the most suitable NLP approach—whether that’s classical techniques with scikit-learn or a deep-learning stack such as TensorFlow or PyTorch—document your reasoning, and implement the solution in clean, well-commented Python. Deliverables: • Reproducible code (Jupyter notebook or .py files) with setup instructions • ...

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I need a hands-on Proof of Concept that lets me judge whether an AI/ML solution is worth scaling up. The PoC must move beyond slides and theory: I want code I can run, metrics I can inspect, and a short demo that shows the idea in action. My current inclination is to explore a Reinforcement learning approach, so the prototype should revolve around that paradigm—state definition, reward engineering, training loop, and performance benchmarking. If you believe a hybrid or alternative method will surface better insights, explain why and we can adjust. Scope of work • Clarify business and technical goals with me at the outset. • Prepare an appropriate sample dataset or simulated environment, documenting any assumptions you make about data generation or cleaning. •...

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I need a clear, scalable architecture that can detect and instantly alert on unusual spending patterns in our payment flow. The focus is narrow and well-defined: draw insights from live and historical transaction history, spot deviations from normal customer behavior, and trigger actionable alerts before settlement is completed. Scope of work • Map the entire transaction-processing path and identify points where real-time analytics can be inserted without adding noticeable latency. • Define the data lake or streaming layer that will store raw and enriched transaction history. • Recommend the analytics engine—rules, machine-learning models, or a hybrid—best suited for spotting spending anomalies while remaining extensible to other fraud signals later (for e...

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I'm looking for Mathematics and Biomedical research expert and engineer to help out with project ideas and execution.

I need a freelancer to perform statically analysis. For my DNP project outcomes, comparing pre and post implementation surveys. Requirements: - Expertise in predictive statistics - Proficiency with numerical data - Experience with regression analysis, time series analysis, or machine learning algorithms Ideal Skills and experience Working with DNP students Please provide examples of previous work and relevant qualifications.

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I have a clean, structured numerical dataset and need a supervised machine-learning model built, validated, and handed over with clear documentation. The goal is to predict future outcomes from past observations, so model accuracy and interpretability both matter. Here’s what I need from you: • A brief data-exploration notebook that highlights key correlations, missing-value handling, and basic visuals. • Feature engineering tailored to the data’s domain (scaling, encoding, derived metrics, etc.). • At least two supervised algorithms (for example, Gradient Boosting and Random Forest in scikit-learn, or an XGBoost/TensorFlow alternative) trained, cross-validated, and benchmarked. • A concise performance comparison using appropriate regression/classif...

I have a clean, structured numerical dataset and need a supervised machine-learning model built, validated, and handed over with clear documentation. The goal is to predict future outcomes from past observations, so model accuracy and interpretability both matter. Here’s what I need from you: • A brief data-exploration notebook that highlights key correlations, missing-value handling, and basic visuals. • Feature engineering tailored to the data’s domain (scaling, encoding, derived metrics, etc.). • At least two supervised algorithms (for example, Gradient Boosting and Random Forest in scikit-learn, or an XGBoost/TensorFlow alternative) trained, cross-validated, and benchmarked. • A concise performance comparison using appropriate regression/classif...

We need an experienced Informatica BDM developer to join our team for full-time contract work supporting data engineering and ETL development projects. Requirements: • 7+ years of experience with Informatica Data Engineering, DIS and MAS • Strong expertise in Databricks and Hadoop ecosystems • Proficiency with relational SQL and NoSQL databases (Azure Synapse, SQL Server, Oracle) • Experience with major cloud platforms (Azure, AWS, or Google Cloud) • Knowledge of Agile methodologies and tools like SCRUM, TFS, and JIRA • Advanced SQL skills including T-SQL and PL/SQL • Experience building and optimizing big data pipeline architectures • Hands-on experience developing both batch and real-time workloads • Knowledge of Data Lake and dimensional dat...

AI & MACHINE LEARNING TRAINING MANUAL DEVELOPMENT We are urgently seeking a highly qualified Expert Trainer to develop a comprehensive, hands-on Manual and deliver specialized training to Customs of an African country. This project aims to enable the beneficiary organization to autonomously design, optimize, and deploy AI/ML solutions for risk management and customs clearance efficiency. Scope of Work: Develop curriculum and content focusing on advanced technical modules, including: Data Science & Machine Learning: Deep Learning and Python Data Science foundations. Generative AI & LLMs: Advanced Prompt Engineering, Fine-tuning, NLP/Transformers, and API Deployment (LangChain). Methodology: Emphasize practical application, real-world customs use cases, and Capstone projects (...

I need a skilled statistician to perform Bayesian analysis with meta-regressions on clinical trials data for a meta-analysis in the healthcare domain. The primary outcome of interest is side effects. Key requirements: - Expertise in Bayesian statistics - Experience with meta-analysis and meta-regression - Strong background in healthcare data, specifically clinical trials - Proficiency in statistical software (e.g., R, Python, STATA) Ideal candidates should provide: - Previous relevant work samples - Detailed methodology outline - Estimated timeline for completion

I am preparing a scientific-grade computer-science paper that explores how Artificial Intelligence can be applied to Disease Diagnosis, with a sharp focus on Genetic Disorders. I already have a broad outline but need a researcher-writer who can turn it into a publishable manuscript that meets typical IEEE or Springer journal standards. Here’s what I’m after: • Scope. A clear literature review on AI techniques currently used for diagnosing genetic conditions such as cystic fibrosis, sickle-cell, or rare chromosomal abnormalities. Contrast traditional pipelines with cutting-edge deep-learning approaches (CNNs, Transformers, multimodal models, etc.). • Original contribution. Either propose a novel framework or run a small-scale experimental study on an open dataset (...

Road Accident Analysis Dashboard | Power BI | DAX • Engineered an interactive Power BI dashboard tracking 5+ accident KPIs (severity, fatality rate, peak hours, high-risk zones) using DAX measures across a 12-month dataset. • Reduced insight discovery time by ~40% for stakeholders by replacing static reports with drill-down filters by location, vehicle type, and accident cause. • Applied DAX-based time intelligence to compare YoY fatality trends, revealing a 15% increase in night-time accidents that guided policy recommendations. AI-Enabled Multi-Disease Detection System | Machine Learning | Python • Built a multi-label ML classifier detecting Diabetes and Heart Disease with 87%+ accuracy using Logistic Regression and Random Forest on a 1,000+ patient d...

Project Overview: We are seeking an experienced Machine Learning Specialist to assist in the development and implementation of machine learning models for the controlled synthesis of carbon dots (CDs). This project involves data-driven prediction of optical properties of CDs based on key reaction parameters. The ideal candidate will have expertise in machine learning algorithms, data preprocessing, feature engineering, and model optimization. Knowledge of Python and relevant libraries (e.g., Pandas, Scikit-learn) is essential. Project Description: The project aims to apply machine learning techniques to predict and optimize the synthesis of carbon dots, focusing on properties like fluorescence intensity, emission wavelength, and stokes shift. The dataset comprises experimental data on 80 ...

26. 1、 Title: The multi-scenario business process automation and efficiency evaluation of the visual center of the city cloud brain empowered by AI large models(Need to combine information)  2、 Journal partition: EI source journal OA journal, hired in 3-6 months or so I need you to match 3-5 journals based on my topic, and I may submit them based on the journals you provide me with in the future, 3、 Writing requirements: Write according to my paper title and journal requirements, and provide necessary journal requirements documents, including an AI plagiarism report Turnitin (Artificial Intelligence) (1) Word count: 5000-8000 words (2) Formulas and symbols: cannot exist in image format, nor can they be created using Word's formula editor. Please format all formulas using MathType to ...

Full-Stack Platform Build (Telephony + AI + Backend + Dashboards) Fixed Price | 6 Weeks | Agencies Only Who This Is For We are hiring one experienced agency or tightly coordinated team to deliver a complete, production-ready platform. Do not apply if: You are a solo freelancer You cannot show similar systems already built You cannot commit to a 6-week delivery window Project Summary You will build a fully integrated digital platform for a national helpline that includes: Voice call centre (IVR-based) WhatsApp, SMS, and chat channels Case management system AI-powered triage and prioritisation Real-time dashboards Secure cloud deployment This must be live, stable, and in use by Week 6. Delivery Timeline (Non-Negotiable) Week 1–2 Infrastructure, telephony, messaging channels live Week 3...

We are looking for an experienced technical recruiter to help source and screen high-quality engineers for ongoing projects. Roles we are hiring for include: - AI / Machine Learning Engineers - Data Scientists - Data Engineers - Backend Engineers (Java, Go, Rust, C#) Responsibilities: - Source qualified candidates (LinkedIn, networks, communities, etc.) - Pre-screen candidates (technical fit, communication, experience) - Present a shortlist of high-quality candidates - Coordinate initial introductions/interviews Requirements: - Proven experience recruiting for technical roles (AI/ML or backend preferred) - Strong understanding of engineering profiles and tech stacks - Ability to identify high-quality candidates (not mass submissions) - Good communication and responsiveness Nice to have...

We need Python Programmer for coding share market strategies. Please come back with your quotes.

I am looking for an experienced data analyst / ServiceNow expert to help transform CMDB data into actionable insights and predictive analytics. The CMDB currently receives data from three sources: • Network devices • Software applications • Servers / hardware assets ⸻ Scope of Work: 1. Data Consolidation & Preparation • Review and consolidate CMDB data • Clean and standardise datasets for analysis • Ensure data is usable for reporting and modelling 2. Predictive Analysis • Build simple predictive models to identify early warning signals such as: • Capacity issues • Performance degradation • Configuration drift 3. Dashboards / Reporting / Alerts • Create easy-to-use outputs for operations teams (e.g., dashboard...

I need indicators and strategies with back-testing. It will be consultancy type of work. It should work on forex and crypto. Need to find the best combination.

Assessing the role of human-modified landscape in Black Wattle (Acacia mearnsii) spread, using Sentinel 2

I’m training a machine-learning model that must recognise consumer electronics, so I need a fresh, well-organised image dataset focused exclusively on product shots. The goal is to gather a wide visual range of smartphones, laptops, tablets, headphones, wearables, home-office gear and similar items photographed on plain backgrounds as well as in real-world settings. Here’s the scope in a nutshell: • Source or capture several thousand high-resolution JPEG or PNG images (at least 1024 px on the shortest side). • Keep each file clearly named by product type and brand, then group the images in logical folders for easy ingestion into my training pipeline. • Supply a simple CSV or JSON annotation file that pairs every filename with its product label; bounding bo...

Description I am building a research-driven job market analytics system (US market). This is not just a development project — it requires designing, executing, and evaluating data science experiments. The goal is to analyze job data and produce validated insights, not just build a working pipeline. Scope of Work The project includes: • Data processing of large job datasets (10k–50k+ rows) • Extracting technical skills (Python, SQL, AWS, etc.) from job descriptions • Salary analysis and estimation (validated using official BLS data) • Job demand trend analysis and forecasting • Building an interactive dashboard (Streamlit preferred) • Designing and executing research experiments with clear evaluation metrics Research Requirements (Core o...

I have a flow of numerical data arriving on a regular basis and I want the entire predictive-analysis cycle handled automatically in Python. The goal is a script or small pipeline that can pull the fresh data, clean and transform it, train or update a predictive model, and then return the forecasts (plus standard performance metrics) without manual intervention. I expect you to choose the appropriate Python libraries—think pandas for wrangling, scikit-learn or a comparable framework for modelling, and perhaps joblib or pickle for model persistence—and stitch them together in a way that lets me trigger everything with a single command or scheduled job. Clear, well-commented code and a short README that shows how to run the automation are part of the deliverable. If you can set ...

We are looking for an experienced technical recruiter to help source and screen high-quality engineers for ongoing projects. Roles we are hiring for include: - AI / Machine Learning Engineers - Data Scientists - Data Engineers - Backend Engineers (Java, Go, Rust, C#) Responsibilities: - Source qualified candidates (LinkedIn, networks, communities, etc.) - Pre-screen candidates (technical fit, communication, experience) - Present a shortlist of high-quality candidates - Coordinate initial introductions/interviews Requirements: - Proven experience recruiting for technical roles (AI/ML or backend preferred) - Strong understanding of engineering profiles and tech stacks - Ability to identify high-quality candidates (not mass submissions) - Good communication and responsiveness Nice to have...

Cash Flow Forecasting Model — Summary 1. Overall Objective The system predicts future cash inflows and outflows and produces a daily/weekly/monthly cash forecast, supported by a recommendation engine that suggests actions to improve liquidity. The model integrates multiple financial signals such as: Accounts receivable collections Vendor payments Project milestone billing Sales pipeline deals Non-sales inflows Operational expenses All signals are normalized into a single cash forecast which treasury can use for decision making. 2. End-to-End Architecture The system is structured around a Central Financial Intelligence Layer that stores behavioural features and model outputs. Data Flow Raw financial data Feature store (behavioural signals) ML models Cash flow modules Cash event normal...

? HAGO Contest #2 – April ? For data scientists and analytics enthusiasts, we present a new challenge with Amazon sales dataset. ? Tasks: Explore the dataset in depth Analyze patterns and trends Build a predictive model using Python Submit results in a PDF file within our private community ? Prize: The winner receives $15 USD for the best analysis and prediction ? Don’t forget to join the IFAI Contest for future forecasting, where the winner earns $10 USD. ✨ Tips to increase your chances of winning: Make your analysis comprehensive yet easy to understand Add clear and insightful visualizations Focus on prediction accuracy and creative ideas

Strategy Name: Footprint Dot-Based Auto Exit Strategy (Profit-Constrained) (DOT indicator referenced already has been built) $30 Flat. ______________________________________________________________________________________________________________________________________ 1. Purpose This strategy is designed to: Automatically exit manually placed positions (Long and Short) Based on pre-existing footprint indicator signals (Red and Blue dots) Ensure that ALL exits are profitable Operate on a Line Break chart Process both historical and real-time data ________________________________________________________________________________________________________________________________________ 2. Dependencies Requires an existing indicator that provides: Red Dots Plotted on positive (up) ...

I’m building an on-demand library of advanced technology courses for a Telugu-speaking audience and need subject-matter experts who can independently create polished, pre-recorded video lessons. Technologies in scope: Salesforce, VLSI, Cybersecurity, MATLAB, Generative AI, and Data Science. If you are deeply experienced in any one of these areas and comfortable explaining complex topics fluently in Telugu (English overlay or keywords are welcome where it aids clarity) I’d like to collaborate with you. What you will deliver • A clearly structured syllabus that takes learners from assumed fundamentals to advanced, job-ready competence in your chosen technology. • A series of high-resolution video modules with clear screen-casts, voice-over, and on-screen caption...

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Our company is running an "academic-industry research project" improving facial-recognition AI for 'child safety applications' (distress detection for schools/protection services). Need recruiters for short, anonymized video clips. SCOPE: • Ages: 5-17 years • Country: Chile • 8 HD videos/child: exact head movements + expressions (full guide provided) YOUR ROLE: Source participants + parents, get consent, guide iPhone recordings (4K 60fps, no audio/GPS). Diversity across ethnicities valued. DELIVERABLES PER CHILD: 1. Signed parental consent (template provided) 2. 8 HD videos (Google Drive link) 3. Metadata: age band, country, ethnicity, device, date (no personal IDs) ACCEPTANCE: • HD quality, clear face/movements • iPhone 12 + • Exact se...

Our company is running an "academic-industry research project" improving facial-recognition AI for 'child safety applications' (distress detection for schools/protection services). Need recruiters for short, anonymized video clips. SCOPE: • Ages: 5-17 years • Country: Colombia • 8 HD videos/child: exact head movements + expressions (full guide provided) YOUR ROLE: Source participants + parents, get consent, guide iPhone recordings (4K 60fps, no audio/GPS). Diversity across ethnicities valued. DELIVERABLES PER CHILD: 1. Signed parental consent (template provided) 2. 8 HD videos (Google Drive link) 3. Metadata: age band, country, ethnicity, device, date (no personal IDs) ACCEPTANCE: • HD quality, clear face/movements • iPhone 12 + • Exact...

Our company is running an "academic-industry research project" improving facial-recognition AI for 'child safety applications' (distress detection for schools/protection services). Need recruiters for short, anonymized video clips. SCOPE: • Ages: 5-17 years • Country: South Africa • 8 HD videos/child: exact head movements + expressions (full guide provided) YOUR ROLE: Source participants + parents, get consent, guide iPhone recordings (4K 60fps, no audio/GPS). Diversity across ethnicities valued. DELIVERABLES PER CHILD: 1. Signed parental consent (template provided) 2. 8 HD videos (Google Drive link) 3. Metadata: age band, country, ethnicity, device, date (no personal IDs) ACCEPTANCE: • HD quality, clear face/movements • iPhone 12 + • E...

I need an ACTA-certified Tableau trainer to craft and deliver a programme that dives deep into advanced data-visualization techniques. The audience consists of experienced Tableau users who already handle calculations, data modelling, and dashboard assembly day-to-day; they now want to push visual storytelling to a more sophisticated level. The schedule is flexible—there is no hard deadline—so the emphasis is on depth, polish, and reusable material rather than speed. Sessions may run online or on-site in Singapore, whichever you prefer. Deliverables • A detailed curriculum with clear learning objectives focused on high-impact visual design. • Slide deck, demo workbooks, and curated datasets that open cleanly in Tableau 2023.x (or later). • Two hands-on as...

Our company is running an "academic-industry research project" improving facial-recognition AI for 'child safety applications' (distress detection for schools/protection services). Need recruiters for short, anonymized video clips. SCOPE: • Ages: 5-17 years • Priority: Colombia, Chile, South Africa • Other countries: Romania, Bulgaria, Croatia, Finland, Germany, Greece, Poland, Spain, Portugal, New Zealand, Australia • 8 HD videos/child: exact head movements + expressions (full guide provided) YOUR ROLE: Source participants + parents, get consent, guide iPhone recordings (4K 60fps, no audio/GPS). Diversity across ethnicities valued. DELIVERABLES PER CHILD: 1. Signed parental consent (template provided) 2. 8 HD videos (Google Drive link) 3. ...

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"Traders in my System" — Your gateway to institutional-grade capital. I am the founder of Alpha Genesis Advisors, and I am currently recruiting elite traders and community leaders to join our rapidly expanding prop-trading ecosystem. We don’t just follow the market; we dominate it using high-frequency algorithms and predictive analytics. What We Offer: Direct Capital Allocation: I am providing my own private capital for 1-2 initial trading sessions. You don't need to risk your own funds—prove your edge, and we provide the leverage. 40/60 Profit Split: Our model is simple and transparent. You keep 60% of the profits, while 40% is reinvested into the growth of our global fund. This is a partnership built for the long term. Technological Superiority: Our s...

Looking for a highly skilled Data Scientist with deep expertise in AI and Generative AI to lead cutting-edge retail merchandising and pricing analytics initiatives, driving scalable forecasting, optimization, and intelligent automation solutions. -Leverage state-of-the-art AI and Generative AI techniques to drive innovation in retail merchandising and pricing analytics. -Design, develop, and deploy advanced machine learning and optimization models to support data-driven business decisions. -Build scalable solutions for demand forecasting, assortment optimization, price elasticity modeling, and inventory allocation and replenishment. -Develop sophisticated demand forecasting systems using multivariate and hierarchical models for long-range, multi-echelon predictions. -Address complex f...

I need a concise, four-page white paper that explains how today’s automotive brands are using machine learning to elevate customer experience. The sole lens is customer-facing value, not autonomy or maintenance. Within those four pages, please present: • Personalized in-car services – how recommendation engines, voice assistants, or edge-deployed models learn a driver’s habits and tailor infotainment, climate, or navigation in real time. • Enhanced safety features that passengers recognise directly, such as adaptive driver alerts or occupant monitoring, showing how ML turns raw sensor data into intuitive feedback. • Optimized dealership interactions – from predictive lead scoring to AI-powered service scheduling that keeps owners happy long afte...

I need a production-ready solution that ingests raw Infrared Spectroscopy readings from a handheld or benchtop spectrophotometer, extracts the relevant spectral fingerprints, and predicts both the presence and concentration of common pesticide residues on fresh fruit and vegetable samples. My current lab setup streams CSV files over USB; if you have dealt with other device protocols, feel free to propose an efficient data-capture approach. Core requirements • A clean Python pipeline that parses the spectra, performs any necessary preprocessing (baseline correction, smoothing, normalization), and feeds the data into a TensorFlow model. • A well-documented training notebook + scripts so the model can be re-trained when new pesticides or produce types are added. • (Optio...

I need an ACTA-certified Tableau trainer to craft and deliver a programme that dives deep into advanced data-visualization techniques. The audience consists of experienced Tableau users who already handle calculations, data modelling, and dashboard assembly day-to-day; they now want to push visual storytelling to a more sophisticated level. The schedule is flexible—there is no hard deadline—so the emphasis is on depth, polish, and reusable material rather than speed. Sessions may run online or on-site in Singapore, whichever you prefer. Deliverables • A detailed curriculum with clear learning objectives focused on high-impact visual design. • Slide deck, demo workbooks, and curated datasets that open cleanly in Tableau 2023.x (or later). • Two hands-on as...