Estadísticas Jobs

Realizar un análisis estadístico completo y profesional de un dataset asignado en Gretl (Ej: ). Cumplir todos los elementos del trabajo empírico de Estadística I según el PDF: descriptivo, exploratorio, regresión lineal, interpretación y presentación.

I need an expert in Urban Economics and Spatial Economics to help complete an academic assignment (5 questions) in fluent English. The assignment is strictly based on Professor Takaaki Takahashi's (University of Tokyo) framework and New Economic Geography (NEG). Key topics covered: 1. Plotting and explaining a 2-region population distribution model (Utility Curve Analysis) where both complete dispersion and complete concentration are stable equilibria. 2. Analyzing 3 real-world cases (Shein in Guangzhou, Fashion in Harajuku, City of London) using Duranton & Puga's framework: Sharing, Matching, and Learning. 3. Providing a real-world scientific/social example of "Catastrophic Change" (Catastrophe Theory) outside of economic geography, with a parameter vs. variable...

I need a highly adaptable AI pattern detector developed to analyze minute-by-minute price shifts across major soccer leagues. The goal is to identify and map deceptive betting movements by distinguishing routine odds changes from suspicious ones. The deliverables include: - A robust analysis pipeline (Python, R, or similar) to process and align data from multiple sportsbooks. - Adaptive AI logic capable of detecting abnormal patterns with adjustable parameters. - An interactive dashboard or report for visualizing flagged patterns and enabling detailed exploration by league, provider, and market. - A methodology note for recalibrating models after removing deceptive patterns. This project prioritizes precision in process and execution over strict deadlines.

Job Title: Micro Task Specialist Overview: Are you a detail-oriented individual with a knack for tackling micro tasks efficiently? We are seeking a skilled Micro Task Specialist to join our dynamic team. As a Micro Task Specialist, you will be at the forefront of optimizing processes, ensuring accuracy, and contributing to the seamless functioning of our diverse range of projects. Responsibilities: Micro Task Execution: Dive into a variety of micro tasks, from data entry to research, with precision and attention to detail. - Task Optimization: Identify opportunities to enhance task efficiency, suggesting improvements that contribute to overall productivity. -Multi-Company Collaboration: Work on tasks from 25 different companies, showcasing your adaptability and versatility in manag...

I'm looking for a skilled Python developer to assist with an algorithmic trading project on the Indian Stock Market via Angel One. Key requirements include: - Strategy Development: Create robust trading strategies. - Backtesting: Validate strategies against historical data. - Live Trading Integration: Seamlessly connect and execute trades. Ideal Skills and Experience: - Proficiency in Python. - Experience with algorithmic trading, especially in the Indian market. - Familiarity with Angel One API. - Strong background in financial markets and data analysis. Looking for someone with a proven track record in similar projects. Please share relevant experience in your bids.

I need a skilled Python developer to build and integrate a Nifty options strategy using the XTS market data API. Key Requirements: - Backtesting - Live trading - Data visualization - Use of real-time market data Ideal Skills & Experience: - Proficiency in Python - Experience with trading strategies, especially options - Familiarity with XTS market data API - Strong background in data visualization tools Please provide relevant experience in your bids.

I have a complete purchase-history dataset ready to go and I want to turn it into actionable customer segments. The single objective is clear: identify distinct target customer groups so I can market to them more effectively. The analysis must surface three core insights: • Which customers are truly high-value • Who buys most frequently • Who shows signs of churning You’re free to choose the right statistical or machine-learning approach—RFM scoring, K-means, hierarchical clustering, or a hybrid model—as long as it fits the data. I’ll supply the raw CSV and a short data dictionary; you return: 1. A cleaned, well-documented dataset with the segment labels appended 2. A concise notebook or script (Python, R, or SQL-based) that reproduces th...

Job Title: Micro Task Specialist Overview: Are you a detail-oriented individual with a knack for tackling micro tasks efficiently? We are seeking a skilled Micro Task Specialist to join our dynamic team. As a Micro Task Specialist, you will be at the forefront of optimizing processes, ensuring accuracy, and contributing to the seamless functioning of our diverse range of projects. Responsibilities: Micro Task Execution: Dive into a variety of micro tasks, from data entry to research, with precision and attention to detail. - Task Optimization: Identify opportunities to enhance task efficiency, suggesting improvements that contribute to overall productivity. -Multi-Company Collaboration: Work on tasks from 25 different companies, showcasing your adaptability and versatility in manag...

Data Analysis needs to be done

Job Title: Micro Task Specialist Overview: Are you a detail-oriented individual with a knack for tackling micro tasks efficiently? We are seeking a skilled Micro Task Specialist to join our dynamic team. As a Micro Task Specialist, you will be at the forefront of optimizing processes, ensuring accuracy, and contributing to the seamless functioning of our diverse range of projects. Responsibilities: Micro Task Execution: Dive into a variety of micro tasks, from data entry to research, with precision and attention to detail. - Task Optimization: Identify opportunities to enhance task efficiency, suggesting improvements that contribute to overall productivity. -Multi-Company Collaboration: Work on tasks from 25 different companies, showcasing your adaptability and versatility in manag...

I need a clean, machine-readable raw data set that tracks drug overdoses across the Dallas–Fort Worth metropolitan area. The end goal is to run my own statistical analysis, so I’m looking for the fullest level of detail that public records allow. Scope of data • Source: please pull exclusively from government databases—think CDC WONDER, Texas Department of State Health Services, Tarrant & Dallas County Medical Examiners, state hospital discharge records, or any other official repository you can access. • Time span: both recent releases and archived records are valuable; ideally the series stretches far enough back to reveal long-term trends. • Geography: the entire Dallas–Fort Worth Metroplex, with each case or summary entry tagged so I can...

I need an experienced teacher to teach elementary-level mathematics on an hourly basis for our platform. Requirements: - Expertise in teaching elementary mathematics - Proficiency in English - Ability to engage and motivate young learners - Prior teaching experience is a plus Ideal Skills: - Strong communication skills - Patience and adaptability - Educational background in mathematics or teaching

I have a large XLS dataset that tracks how bookmakers adjust their soccer odds during the four-hour window leading up to kick-off. The file covers 98 different leagues worldwide, the majority of them second-tier competitions, and every row shows timestamped price snapshots from several providers. My main objective is to understand pure price fluctuations in that pre-match window: how fast the market reacts, whether margins tighten or widen, and which providers tend to lead or lag in moving a line. Volume, external-factor modelling, and other behavioural angles are out of scope for now—this phase is solely about the odds themselves. Here is what I need from you: • Clean the raw XLS so each match has a coherent four-hour timeline for every provider. • Produce summar...

I want to fast-track my search for entry-level geotechnical and civil engineering positions in France by having the entire application routine handled for me. My résumé and a base cover letter are ready; what I need now is consistent, targeted outreach so my profile lands on the right hiring desks without me spending hours every evening. Here is what the engagement looks like from my side: • Identify suitable entry-level vacancies in geotechnical or general civil engineering throughout France on platforms such as LinkedIn, Indeed, Glassdoor and major French job boards. • Tailor my cover letter and, when required, adjust key résumé keywords to mirror each posting. • Complete online application forms and upload the correct documents on my beha...

Job Title: Micro Task Specialist Overview: Are you a detail-oriented individual with a knack for tackling micro tasks efficiently? We are seeking a skilled Micro Task Specialist to join our dynamic team. As a Micro Task Specialist, you will be at the forefront of optimizing processes, ensuring accuracy, and contributing to the seamless functioning of our diverse range of projects. Responsibilities: Micro Task Execution: Dive into a variety of micro tasks, from data entry to research, with precision and attention to detail. - Task Optimization: Identify opportunities to enhance task efficiency, suggesting improvements that contribute to overall productivity. -Multi-Company Collaboration: Work on tasks from 25 different companies, showcasing your adaptability and versatility in manag...

I’m ready to commission a well-structured article that walks healthcare professionals through a rigorous proof-of-concept journey—from spotting a clinical or operational problem to presenting validated results. You will own the entire five-phase process: clearly framing the problem, selecting quantifiable success metrics, building and testing a lean prototype, analysing the data, then shaping those findings into a polished manuscript suitable for journals or stakeholder decks. The piece must speak the language of clinicians, administrators, and health-tech decision makers, so every claim needs to sit on solid ground. Feel free to draw on peer-reviewed studies, compelling case reports, or interviews with recognised experts; whichever source mix most convincingly supports the co...

I have a single dataset that blends both free-form text and numerical fields, and it needs to be made analysis-ready. For the text columns I need every duplicate row removed, all formatting inconsistencies ironed out, and obvious spelling mistakes corrected so the wording is uniform and machine-readable. On the numerical side I want clear, documented treatment of outliers, sensible imputation of missing values, and a consistent unit scale across comparable measures. You are free to work in Python (Pandas, NumPy, open-source spell-check libraries), R, or another reliable toolset as long as the results can be reproduced. Please include a brief outline of the cleaning logic in well-commented code or a notebook so I can audit each decision. Deliverables • Cleaned master data...

Job Title: Micro Task Specialist Overview: Are you a detail-oriented individual with a knack for tackling micro tasks efficiently? We are seeking a skilled Micro Task Specialist to join our dynamic team. As a Micro Task Specialist, you will be at the forefront of optimizing processes, ensuring accuracy, and contributing to the seamless functioning of our diverse range of projects. Responsibilities: Micro Task Execution: Dive into a variety of micro tasks, from data entry to research, with precision and attention to detail. - Task Optimization: Identify opportunities to enhance task efficiency, suggesting improvements that contribute to overall productivity. -Multi-Company Collaboration: Work on tasks from 25 different companies, showcasing your adaptability and versatility in manag...

Job Title: Micro Task Specialist Overview: Are you a detail-oriented individual with a knack for tackling micro tasks efficiently? We are seeking a skilled Micro Task Specialist to join our dynamic team. As a Micro Task Specialist, you will be at the forefront of optimizing processes, ensuring accuracy, and contributing to the seamless functioning of our diverse range of projects. Responsibilities: Micro Task Execution: Dive into a variety of micro tasks, from data entry to research, with precision and attention to detail. - Task Optimization: Identify opportunities to enhance task efficiency, suggesting improvements that contribute to overall productivity. -Multi-Company Collaboration: Work on tasks from 25 different companies, showcasing your adaptability and versatility in manag...

I have a rich set of customer data and need it transformed into clear, actionable recommendations that directly guide our day-to-day decision-making. The task goes beyond describing what has happened; I expect you to model multiple scenarios, determine the best course of action for each, and spell out the expected impact on revenue, churn, and overall customer satisfaction. You are free to work in Python, R, or any other modern analytics environment as long as your code is reproducible and well-documented. SQL access to the source tables can be arranged if you prefer to build your own extracts. Deliverables: • Cleaned, well-structured dataset (or repeatable script that produces it) • A transparent prescriptive model with commentary on assumptions and limitations • A ...

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...

Job Title: Micro Task Specialist Overview: Are you a detail-oriented individual with a knack for tackling micro tasks efficiently? We are seeking a skilled Micro Task Specialist to join our dynamic team. As a Micro Task Specialist, you will be at the forefront of optimizing processes, ensuring accuracy, and contributing to the seamless functioning of our diverse range of projects. Responsibilities: Micro Task Execution: Dive into a variety of micro tasks, from data entry to research, with precision and attention to detail. - Task Optimization: Identify opportunities to enhance task efficiency, suggesting improvements that contribute to overall productivity. -Multi-Company Collaboration: Work on tasks from 25 different companies, showcasing your adaptability and versatility in manag...

This project presents a comprehensive data-driven analysis of Apple’s iPhone market impact in India using interactive Tableau visualizations. The dashboard explores trends in iPhone sales, customer preferences, pricing patterns, market growth, and consumer behavior across different regions and time periods. The objective of this project is to understand how Apple’s iPhone has influenced the Indian smartphone industry and consumer purchasing decisions. Using data visualization techniques, the dashboard transforms raw data into meaningful insights through charts, graphs, filters, and interactive stories. Key insights covered in the project include: Growth of iPhone users in India Comparison of iPhone models and pricing Customer satisfaction and buying trends Regional market an...

Job Title: Micro Task Specialist Overview: Are you a detail-oriented individual with a knack for tackling micro tasks efficiently? We are seeking a skilled Micro Task Specialist to join our dynamic team. As a Micro Task Specialist, you will be at the forefront of optimizing processes, ensuring accuracy, and contributing to the seamless functioning of our diverse range of projects. Responsibilities: Micro Task Execution: Dive into a variety of micro tasks, from data entry to research, with precision and attention to detail. - Task Optimization: Identify opportunities to enhance task efficiency, suggesting improvements that contribute to overall productivity. -Multi-Company Collaboration: Work on tasks from 25 different companies, showcasing your adaptability and versatility in manag...

Job Title: Micro Task Specialist Overview: Are you a detail-oriented individual with a knack for tackling micro tasks efficiently? We are seeking a skilled Micro Task Specialist to join our dynamic team. As a Micro Task Specialist, you will be at the forefront of optimizing processes, ensuring accuracy, and contributing to the seamless functioning of our diverse range of projects. Responsibilities: Micro Task Execution: Dive into a variety of micro tasks, from data entry to research, with precision and attention to detail. - Task Optimization: Identify opportunities to enhance task efficiency, suggesting improvements that contribute to overall productivity. -Multi-Company Collaboration: Work on tasks from 25 different companies, showcasing your adaptability and versatility in manag...

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 already operate at an advanced level in cost and management accounting, yet I want to sharpen and systemise my expertise through a series of live, highly interactive tutoring sessions. The areas I would like to explore in depth are budgeting and forecasting, cost control and reduction techniques, financial reporting for internal decision-making, variance analysis, marginal costing, the full range of costing methods, and capital budgeting. The ideal approach is real-time collaboration—screen-sharing, digital white-boards, problem walkthroughs and immediate Q&A—rather than pre-recorded videos or passive reading. Please be prepared to work through complex, practice-oriented cases and help me build reusable models in Excel or any other analysis software you favour. By the e...

Brain disorder detection using Deep Learning Uses MRI brain scan images Detects multiple brain diseases automatically Early disease detection and diagnosis Multi-class classification system Diseases detected: Glioma tumor Pituitary tumor Meningioma tumor Alzheimer’s disease Healthy brain Uses Convolutional Neural Networks (CNN) Uses Transfer Learning techniques Models used: CNN VGG16 ResNet50 Dataset collected from Kaggle MRI datasets Combined brain tumor and Alzheimer datasets 1000 images used for training 250 images used for testing Image preprocessing and normalization Pixel values converted from 0–255 to 0–1 Feature extraction using convolution layers Pooling layers reduce computation Fully connected layers perform classification Softmax activation used for multi-clas...

I’m completing a data-visualization course assignment that relies on a school-provided dataset, and I’d like hands-on support turning it into clear, compelling visuals. The brief is flexible on the exact chart types, but I must deliver polished outputs in either Tableau or Microsoft Power BI—whichever you feel will best showcase the insights. What I need from you: • A finished workbook (Tableau .twbx and Power BI .pbix) containing all visuals and a clean-looking dashboard. • A short write-up or annotated notes explaining the steps you took, the reasoning behind each chart choice, and any data-prep work, so I can confidently discuss the process in class. Clean, well-labeled fields and consistent styling matter because presentation is graded. If you spot...

I have a collection of Excel and CSV files that hold our customer data—demographics, purchase history, engagement metrics, and a few custom fields. My goal is to see exactly what the numbers are telling us right now, without venturing into forecasting or optimization. Here’s what I need: • A clean-up of the raw spreadsheets (standardised headers, consistent data types, removal of obvious input errors). • Core descriptive statistics—totals, averages, ranges, frequency counts—and any relevant ratios that highlight customer behaviour. • Clear visual summaries: pivot charts, heat-maps, or other simple dashboards built with Excel (Power Query / Power Pivot is fine) or Python (pandas, matplotlib, seaborn) if you prefer. • A short narrative r...

I need a working software application that carries out statistical analysis on research datasets for my final-year project. The focus is purely on stats—no dashboards, mapping, or fancy visualisations—so everything you build should centre on clean numerical insight. Core functions I must demonstrate: • Upload or paste a CSV/Excel file. • Generate descriptive statistics (mean, median, mode, variance, standard deviation). • Run common inferential tests—t-test, chi-square, ANOVA, basic linear regression—selectable through a simple menu or GUI. • Export the results as a neatly formatted PDF or Word report so I can attach it to my submission. I’m flexible on the tech stack: Python (pandas, scipy), Java (Apache Commons-Math), or any langu...

I’m producing a new video series built around rapid-fire debates between two opposing teams. Each time a speaker makes a claim, the other side can flag it for immediate verification, and that’s where you come in. I need a fact-checker who can work in real time, draw on solid journalistic instincts, and surface reliable, citable information within minutes—sometimes seconds. Your background should be rooted in Journalism; you know how to separate opinion from evidence, spot misleading framing, and trace statements back to primary data. The conversations will lean heavily into the following: • Political debates • Social issues When a claim is challenged you’ll verify it on the spot, provide a concise verdict, and supply the exact citation so our host c...

I have an existing, well-structured quantitative dataset and I need an experienced statistician to turn it into clear, actionable insights. Your main task will be to clean the data if necessary, choose and justify the right analytical techniques, run the analyses, and explain the findings in plain language supported by tables and visualisations. The dataset is already collected, so there is no survey or experimental design work involved—this is purely about extracting value from secondary data. I am comfortable with you using R, Python (pandas / statsmodels), Stata, or SPSS; just let me know which environment you prefer so I can reproduce the results later. Deliverables: • A brief outline of the analytical plan before you begin • Reproducible code or syntax files with c...