Statistics Jobs

I need a detailed analysis of financial, operational, and patient data for a hospital. The main objective is to increase operational efficiency. Key Requirements: - Financial Analysis: Review and analyze financial statements, budgets, and forecasts to identify areas for cost reduction and revenue enhancement. - Operational Analysis: Assess current operational workflows, resource allocation, and staff productivity to pinpoint inefficiencies. - Patient Data Analysis: Examine patient flow, admission, and discharge rates, along with treatment outcomes to identify bottlenecks in patient care. Ideal Skills and Experience: - Background in healthcare analytics - Strong financial acumen - Experience with data visualization tools - Ability to provide actionable insights and comprehensive reports ...

I am building a robust Excel-based model that reads a company’s raw financial statements, calculates a full suite of ratios, applies my predefined weightings, and then assigns each firm to one of five categories: Excellent, Good, Average, Pass, or Fail. Core workflow • A password-protected input sheet prevents accidental deletion while remaining easy to update. • New years or new companies will simply be appended to the existing database; no copy-paste or structural edits should ever be required. • Behind the scenes, the model must compute standard liquidity, profitability, and leverage ratios (plus room for any additional metrics I may add later), score them, multiply by the given weightage, and produce a single final score. • A dynamic summary sheet l...

I need a comprehensive costing model created. This model should be automated and take into account various pricing factors for procurement and IT services. Essential Requirements: - Pricing factors: Supplier prices, Logistics costs, Tax implications, FTE, - Input data: Excel spreadsheets - Automation is key - Must be delivered ASAP Ideal Skills and Experience: - Expertise in Excel and data modeling - Experience with procurement costing models - Strong background in logistics and tax implications

I need help bringing together a batch of mixed data—both text and numbers—into one clean, well-structured file. The numerical portion already lives in several Excel spreadsheets, while the text accompanies each record in separate digital files that I will supply. Your task is to copy-paste or re-key these details into the template I provide, double-checking that every field lines up correctly and that numeric values remain exactly as stored in the original sheets. Accuracy is more important to me than speed, but I still need the work turned around promptly. Please be comfortable navigating Excel, using basic formulas to validate totals where needed, and spotting inconsistencies such as misplaced decimals or stray characters in the text. Deliverables • A single, consoli...

I am looking for experienced Mathematics teachers who can teach the IB, IGCSE, and Singapore curriculum for students from Grades 5 to 12. The teacher should have strong subject knowledge and be able to explain mathematical concepts clearly using different teaching methodologies so that students can easily understand, while adapting lessons to suit students of varying learning abilities. The ideal candidate must be patient, supportive, and professional, with a genuine interest in helping students succeed. As this is an online teaching role, the teacher must have a clear, high-quality webcam, a good microphone with clear audio, a stable high-speed internet connection, and a writing tablet or digital writing pad to demonstrate solutions and explain concepts live during lessons. Prior experi...

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 working in Excel and need the statistical side of my workbook tightened up. The raw data is already organised; what’s missing are well-structured formulas that turn those numbers into clear insights. Tasks include setting up the right functions for descriptive statistics, variance, correlation, and any other tests that will help me spot trends quickly. The finished file should meet these points: • All formulas entered directly in-cell (no VBA). • Functions must calculate correctly when new rows are added. • Brief, in-sheet comments explaining what each statistical formula does. If you also know your way around WordPress, let me know—future stages may involve presenting these results online, but today’s focus is purely the Excel logic.

I have an extensive set of financial records attached to an 86-million-dollar portfolio and need them transformed into clear, defensible investment insights. The core purpose is to evaluate current and prospective opportunities, not merely spot trends or forecast performance. Expect to dig into raw transactional data, balance sheets, and market feeds, then surface the strengths, weaknesses, and hidden potential of each holding. You are free to work in Python (Pandas, NumPy, SciPy), R, SQL, Excel Power Query, or any other toolkit you trust, so long as the outcome is reproducible. I will provide the data in CSV and relational-database dumps; secure transfer protocols are already in place. Deliverables • Cleaned and well-documented dataset (with transformation scripts) • Analy...

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Key requirements include: - Familiarity with LLM integration for code completion -Biology experience (Neuroscience and Immunology a plus) -Not too much coding and LLM experience required but asking for a learner that is good at organizing thoughts and data and taking initiative -Willingness to have live chats at least every couple of weeks in English Ideal skills and experience: - Strong background in R -Experience with mathematical modeling -Experience with biological research - Prior experience using language models for coding tasks

I have a set of finance-related CSV files that need to be explored, cleaned, and summarised. The goal is strictly descriptive analysis—think clear statistics, trends, and visual snapshots—without venturing into predictive modelling or prescriptive optimisation. All raw data will arrive as comma-separated files. You are free to use Python (pandas, NumPy, Matplotlib, Seaborn), R, Excel Power Query, or a comparable toolkit, as long as the workflow is reproducible and well-documented. Deliverables: • A concise cleaning script or notebook that imports each CSV, handles missing or inconsistent entries, and outputs a tidy dataset • A written summary (PDF or Markdown) of key descriptive metrics—averages, distributions, correlations, outliers—tailored to a fina...

I have a sizeable collection of banking data made up exclusively of loan transactions. I want to put this data to work by applying AI-driven analytics that uncover useful business insights. Your task is to take the raw transaction records, prepare them for analysis, and deliver clear, data-backed findings that I can act on. Scope • Ingest and clean the loan-transaction dataset (formats are CSV and SQL export). • Apply appropriate statistical or machine-learning techniques to surface patterns, anomalies, trends, and any other insights that add value. • Present the results in a concise written report and a reproducible notebook or script (Python preferred, but I am open to R or other industry-standard tools) so I can rerun the analysis with future data. • Include...

I have an existing secondary dataset and need a clear, defensible quantitative study built around it. The core tasks involve cleaning the data, running the appropriate statistical tests, and presenting the findings in a concise, publication-ready format that includes both tables and visualisations. Because the dataset is already collected, the emphasis is on rigorous analysis rather than data gathering. You will decide on the most suitable techniques—descriptive statistics, correlation, regression, or other inferential methods—justify each choice, and document every step so the work is fully reproducible (SPSS). Deliverables: • A short methodological write-up outlining the analytical approach and assumptions • Annotated code or syntax file that can be rerun end-to...

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 am working on a graduate-level project that involves mixed data types and I need one-on-one guidance to reinforce my skills—especially in data cleaning and preprocessing with Python. The focus will be on the practical, step-by-step application of Pandas, NumPy and Matplotlib while staying fully compliant with academic integrity guidelines; no AI-generated work is permitted. My most urgent challenges include: • Handling missing values • Removing duplicates • Dealing with outliers Beyond cleaning, I will also ask for advice on choosing suitable descriptive statistics, selecting the right statistical tests, and presenting results clearly. Expect questions on relationship analysis and time-series concepts as the project evolves. What I’m hoping for: cl...

I manage the finance function of a medium-sized company and need a data-savvy accountant to turn our historical numbers into clear, forward-looking insight. All raw data—from the general ledger and trial balance to recent expense spreadsheets—will be provided in Excel and CSV formats. Your core assignment is to build a robust financial-forecasting model that projects cash flow, revenue, and key cost drivers over the next 12–24 months. I’m open to the tools you prefer—whether that’s advanced Excel formulas, Power BI dashboards, Python with pandas, or a mix—so long as the output is easy for non-technical leadership to interpret. Deliverables I must see: • A dynamic forecast workbook or script with clearly labeled input cells and assumptions ...

I manage the finance function of a medium-sized company and need a data-savvy accountant to turn our historical numbers into clear, forward-looking insight. All raw data—from the general ledger and trial balance to recent expense spreadsheets—will be provided in Excel and CSV formats. Your core assignment is to build a robust financial-forecasting model that projects cash flow, revenue, and key cost drivers over the next 12–24 months. I’m open to the tools you prefer—whether that’s advanced Excel formulas, Power BI dashboards, Python with pandas, or a mix—so long as the output is easy for non-technical leadership to interpret. Deliverables I must see: • A dynamic forecast workbook or script with clearly labeled input cells and assumptions ...

I’m about to launch an experimental study in the public-health sphere and want a research partner who can take the project from protocol design right through to a publication-ready report. The work starts with refining the research question and crafting a rigorous experimental design that satisfies ethical standards and can pass IRB review. From there, I’ll need a complete data-collection plan, including randomisation procedures, sample-size calculations, and a field-ready set of instruments. If you prefer R, Python, or SPSS for statistical workflows, that flexibility is welcome as long as the analysis plan is reproducible and well-documented. Once data collection is complete, you’ll handle cleaning, statistical testing, visualisation, and interpretation, culminating ...

I’m putting together a modern-science project that zeroes in on Environmental Science, with a specific emphasis on air-pollution issues. The broad goal is to investigate today’s most pressing urban air contaminants, trace their sources, and evaluate evidence-based mitigation strategies drawn from the latest research. Here’s what I need help with: • Locating and curating recent peer-reviewed studies (preferably published within the last five years) on particulate matter, NOx, SO₂, ozone, and related health impacts. • Extracting or compiling open-source data sets that illustrate current trends—think PM2.5/PM10 measurements from reliable monitoring networks. • Running a concise analysis in Excel, R, or Python (your choice) to highlight key pattern...

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 looking for focused help with data consulting—specifically data analysis. I have raw information in hand but need an experienced mind to walk me through the best way to clean, explore, and interpret it so that I can make confident business decisions afterward. Here is what I have in mind: • Quick review of the dataset’s structure and quality • A live or recorded walkthrough of recommended analytical steps (tool-agnostic, though I’m comfortable with Excel, Python-pandas, or Power BI if you’d like to demonstrate) • A concise summary of key findings and next-step suggestions I can action immediately Please let me know your approach, typical turnaround for an initial consultation, and any examples of similar work you’ve guided. I&...

I have a research paper in development and want to elevate it to publication-ready quality. I’ll provide you with the current manuscript, my notes, and any supporting data; what I need back is a version that reads clearly, is backed by up-to-date sources, and meets the formatting and citation standards of high-impact journals.

I need a health economist to help with a book on cost-effectiveness analysis Key tasks include: - explaining the principles of health economic analysis - Evaluating economic impact of preventive healthcare measures - Analyzing cost-effectiveness ratios - Providing an approach for future researchers Ideal skills and experience: - Expertise in health economics or - Strong analytical skills - Experience with healthcare intervention evaluations - Proficiency in statistical software

I need a freelancer who can handle the full cycle of financial analysis for my Guesty account. The first step is technical: use Guesty’s public API to pull the raw booking and payout data, then post that data to a secure web page or dashboard that I can access in real time. Once the data is flowing, I want meaningful financial analysis built on top—profitability, liquidity, and efficiency ratios are the primary focus, but I’m open to additional KPIs you believe will help me steer the business more effectively. You should be comfortable with API integration, data cleaning, and whichever analytics stack you prefer (Python + Pandas, Power BI, Tableau, etc.) as long as the end result is a clear, drill-down view of performance. Please outline your approach for connecting...

I need help carrying out a focused nutrition-status study that brings together three data streams and merges them into one clear report. Deliverables • Anthropometry: please measure and record BMI, waist-hip ratio for adults, and weight-for-age plus height-for-age for the children in the sample. • Diet: collect one precise 24-hour dietary recall per participant, following the multiple-pass method, and organise the entries in a nutrient-analysis spreadsheet. • Clinical signs: document observable vitamin or mineral deficiency indicators and note physical signs linked to obesity or metabolic syndrome. Once collection is complete, analyse the figures (Excel, SPSS, or R are all fine), generate summary tables and graphs, interpret the findings against accepted reference valu...

I need focused guidance for a forthcoming SHL assessment. My requirement is quite general—I’m not limiting support to a single section—yet the numerical component is where I expect the most intensive help. Within that part I want to work through: • Data interpretation • Basic arithmetic • Advanced mathematics I’d like direct assistance with the test itself rather than prerecorded material or generic practice sets, so please be comfortable working in real time and explaining solutions as we progress. Experience with SHL formats, tight time limits, and the calculator-allowed style of questioning will be essential. If you’re confident you can help me boost accuracy and speed across the assessment, let’s set up a session and outline ho...

I’d like a data-savvy partner who can dive into our raw inventory history and surface clear, actionable trends. The sole objective is to analyze historical data—specifically inventory data—so our team can understand how stock levels have moved over time and where the pressure points sit. Here’s what I have: several years of SKU-level records housed in a SQL database, plus a few CSV extracts. I need you to pull and clean the data, run robust trend analysis in Python (Pandas, NumPy, preferably some Matplotlib or Seaborn visuals), and package the insights so they are easy for our planners to act on. Time-series forecasting or demand planning frameworks aren’t required right now, but please structure the code so we could layer those in later if needed. Deliverab...

I need a comprehensive systematic review on the efficacy of Laser-Activated New Attachment Procedure (LNAP) with Scaling and Root Planing (SRP) versus open flap debridement in treating periodontal defects. Key Requirements: - Include studies from PubMed, Cochrane Library, and Google Scholar. - Perform statistical comparisons and meta-analysis. Ideal Skills and Experience: - Expertise in systematic reviews and meta-analysis. - Strong background in periodontal research. - Proficient in statistical analysis software. - Familiarity with the specified databases. Please provide relevant credentials and experience in your bids.

I need a seasoned statistician who can move comfortably between classical regression techniques and modern Convolutional Neural Networks. The project centres on predictive analytics: you will build, compare and explain regression-based models, explore where a CNN adds value, and present the insights through clear, publication-ready visualisations created in Python (think pandas, scikit-learn, TensorFlow/Keras, matplotlib, seaborn or Plotly—use what fits best). We will begin with a brief video call so I can walk you through the dataset, the business question and the success metrics. After that, you will take full ownership of data preparation, model selection, training, validation and visual storytelling. Expect to hand back clean, well-commented notebooks and graphics that a non-tec...

I need an expert in Python to help with data analysis and processing tasks, specifically focused on unstructured data such as text or images. The ideal candidate should be proficient in Python libraries and tools designed for handling unstructured datasets. Your role will involve creating scripts or solutions to extract insights, patterns, or other relevant analyses from the data provided. If you have a strong command over libraries like Pandas, NumPy, or specialized tools for text and image processing, I’d love to hear from you.

I’m looking for help locating current part-time openings in the Administrasi field that fit my background and schedule. Here’s what I need: • A curated list of at least 15 active part-time administrative positions in my city or remote, gathered from reputable job boards, company sites, and professional networks. • For each role, include the job title, organization, application link, closing date, key requirements, and a brief note on why it matches my profile. • A simple spreadsheet or Google Sheet to track applications, deadlines, and follow-up dates so I can stay organized. If you can also suggest minor résumé or cover-letter tweaks that align with the postings, that’s a plus, but the main deliverable is the targeted job list and t...

I need a comprehensive costing model created. This model should be automated and take into account various pricing factors for procurement and IT services. Essential Requirements: - Pricing factors: Supplier prices, Logistics costs, Tax implications, FTE, - Input data: Excel spreadsheets - Automation is key - Must be delivered ASAP Ideal Skills and Experience: - Expertise in Excel and data modeling - Experience with procurement costing models - Strong background in logistics and tax implications

I have several large RNA-seq datasets from TCGA covering multiple cancer types, and I need a focused survival analysis that links gene-level and gene-set activity to overall and progression-free survival. All raw counts, FPKM tables and the matched clinical files are already in place; what I require is the analytical workflow and an interpretable report. Here is the workflow I would like you to follow: • Pre-process and normalise the RNA-seq count data, matching each sample unambiguously to its clinical record. • Build Kaplan-Meier curves and multivariable Cox proportional-hazards models to identify genes whose expression significantly associates with survival outcomes, adjusting for key covariates (age, stage, subtype, etc.). • Run GSEA (Gene Set Enrichment Analysis) ...

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.

I'm looking for an expert to create visualizations for user behavior data. The primary goal is to help us understand patterns and insights through data visualization. Key requirements: - Expertise in data visualization tools (e.g., Tableau, Power BI, D3.js). - Experience with user behavior data, particularly in website interactions, mobile app usage, or social media engagement. - Ability to transform complex data sets into clear, actionable visual insights. - Strong analytical skills to interpret data and provide meaningful recommendations. Ideal candidates would have a background in data science or analytics and a portfolio showcasing similar projects.

I am writing to inquire whether you would be available to provide statistical support for a prospective research project I am currently conducting. The study is complete in terms of data collection and laboratory analysis, and I am now seeking guidance on the most appropriate statistical analyses and interpretation. Project title: Reference intervals for FIBTEM measurements using the ROTEM® gamma device in healthy dogs compared to fibrinogen concentration measured by the Clauss assay. Study objectives: 1. To establish reference intervals for FIBTEM parameters obtained using the ROTEM® gamma device in healthy dogs. 2. To assess the clinical acceptability of these reference intervals compared to fibrinogen concentration measured by the Clauss assay. Dataset overview: The dataset i...

I need my operational data—currently stored across several Excel workbooks—turned into interactive Power BI reports that make trend-spotting and drill-downs effortless. The focus is on robust reporting and analytics rather than a one-off dashboard, so the solution should be scalable and easy for me to refresh whenever new spreadsheets arrive. If you’re interested, send a detailed project proposal outlining the steps you would take to: • connect and clean multiple Excel sources • model the data for accurate relationships and DAX measures • design intuitive visuals that highlight KPIs, variances, and historical trends • deliver a ready-to-share .pbix file plus a short hand-off guide Everything will be built on Excel inputs for now, though I...

I need help with a Python exercise focused on data analysis. Key tasks include: - Data cleaning/extraction - Visualization/plotting - Statistical analysis Ideal skills and experience: - Proficiency in Python, especially with libraries like Pandas, NumPy, and Matplotlib - Experience with data cleaning and preparation - Strong data visualization skills - Background in statistical analysis

I am looking for experienced Mathematics teachers who can teach the IB, IGCSE, and Singapore curriculum for students from Grades 5 to 12. The teacher should have strong subject knowledge and be able to explain mathematical concepts clearly using different teaching methodologies so that students can easily understand, while adapting lessons to suit students of varying learning abilities. The ideal candidate must be patient, supportive, and professional, with a genuine interest in helping students succeed. As this is an online teaching role, the teacher must have a clear, high-quality webcam, a good microphone with clear audio, a stable high-speed internet connection, and a writing tablet or digital writing pad to demonstrate solutions and explain concepts live during lessons. Prior experi...

Help provide a analysis on the commercial side

I'm seeking comprehensive support for my master's research. The project involves: - Research and Literature Review: Identify and summarize key sources. - Data Analysis: Analyze collected data using appropriate statistical methods. - Writing and Editing: Help draft, refine, and polish the final document. Ideal Skills and Experience: - Advanced degree in relevant field - Expertise in research methodologies - Proficiency in data analysis tools (e.g., SPSS, R) - Strong writing and editing skills Looking for someone detail-oriented, reliable, and experienced in academic research.

I need a sharp, fast-paced research assistant for a live, time-sensitive project. You will be helping me navigate, search, and interpret a technical document.

I’m commissioning a full-cycle study that places budget assessment at the centre of our work with non-profit organisations. The assignment weaves together four strands—monitoring economic data, evaluating current economic projects, running a focused budget survey, and shaping an advocacy narrative that can move stakeholders to action. The heart of the job is a rigorous look at how non-profits plan, allocate, and report their resources. You’ll need to: • Track and analyse the economic indicators that matter to our sector, translating raw data into clear insights. • Evaluate selected programmes against their stated economic objectives, highlighting value for money and policy alignment. • Design and implement a concise budget survey that captures both ...

I need a sharp, fast-paced research assistant for a live, time-sensitive project. You will be helping me navigate, search, and interpret a technical document.

I have been researching our city’s transportation network from an industrial-engineering angle and now need a fresh set of expert eyes to turn the findings into a concrete investment roadmap. The study is centered on the public transit system and we have already gathered real-time operational and usage data. Here is what I need next: • Analyse the real-time datasets to spot inefficiencies, capacity gaps, and cost drivers. • Build clear investment strategies that improve service quality while maximizing financial return and long-term sustainability. • Quantify projected impacts on ridership, operating costs, and wider economic benefits such as tourism growth and better university-campus connectivity. • Present everything in a concise report supported by ...

I have a curated dataset of abdominal X-ray images that needs a robust deep-learning model capable of classifying key clinical findings. The end goal is a production-ready Python solution that can consistently score above 90 % accuracy on an unseen validation set. You’ll start with any mainstream framework you prefer—TensorFlow, Keras, or PyTorch—and handle the full pipeline: data preparation and augmentation, model architecture selection, training, hyper-parameter tuning, and evaluation. Please keep the code modular and well-commented so I can retrain or fine-tune later as new data comes in. A concise report that explains your decisions, metrics, and suggestions for future improvements will also be appreciated. To help me choose quickly, focus your proposal on your exp...

Je souhaite lancer rapidement un MVP sous WordPress pour une plateforme de simulation de concours composée de questions à choix multiples. L’interface devra être mobile-first, responsive et surtout colorée et ludique pour motiver les candidats. Fonctionnalités incontournables : • Création et gestion des questions QCM (import, catégories, minuterie). • Suivi des performances des utilisateurs avec statistiques et tableaux de bord. • Mode révision offrant des explications détaillées après chaque question. Gestion des accès : je commence simple ; seul un rôle Administrateur est nécessaire pour piloter la base de questions, consulter les scores et ajuster les régla...

Ce projet consiste à diagnostiquer puis remettre en état un réseau pneumatique qui présente des chutes de pression et des arrêts intempestifs. Objectifs • Identifier rapidement la ou les causes : fuites, vérins défectueux, électrovannes bloquées, régulateurs mal réglés, etc. • Établir un plan d’action chiffré pour la remise en service. • Réaliser ou guider la réparation jusqu’à validation complète du bon fonctionnement. Livrables attendus - Rapport de diagnostic détaillé avec mesures de pression/débit, photos ou relevés vidéo. - Liste précise des pièces à remplacer, r&eac...

Hola, busco personas dispuestas a ayudarme a completar mi proyecto a tiempo. Proporcionaré toda la información necesaria para comprender y realizar el trabajo. Se prefieren principiantes. Gracias.

Necesito desarrollar un modelo hidroeconómico que me permita optimizar el uso del agua a través de esquemas de reuso con recuperación de nutrientes, centrándome en la eficiencia económica del sistema de tratamiento, teniendo en cuenta la recuperación de fertilizantes, costes del tratamiento, valor económico de nutrientes recuperados. Busco una solución que combine la componente hidrológica (disponibilidad y calidad del agua) con la componente económica (costos de tratamiento, beneficios por fertilizante recuperado, restricciones presupuestarias) para identificar la asignación y operación óptima del recurso. Entregables clave: • Formulación matemática completa del modelo, con ...