Statisztikai Elemzés Jobs

I have a sizeable collection of sales data and I want to understand exactly what it is telling me before I move on to any forecasting or optimisation work. I am therefore looking for a quantitative researcher with a solid data-science toolkit who enjoys digging into datasets and communicating clear, descriptive insights. The core of the assignment is a descriptive analysis: cleaning the raw sales tables, exploring distributions, segmenting by relevant dimensions (time, product line, geography, customer type, etc.) and turning those findings into well-structured visuals and concise commentary that a non-technical stakeholder can act on. Python or R is fine—as long as your code is reproducible and annotated—and I expect any dashboards or notebooks you build to run locally withou...

Saya sedang mengeksplorasi sebuah ide bisnis baru dan membutuhkan riset pasar yang solid sebelum melangkah lebih jauh. Fokus utama saya adalah memahami: • Ukuran dan pertumbuhan pasar yang relevan • Segmentasi serta profil pelanggan potensial • Peta persaingan—pemain utama, proposisi nilai, keunggulan dan kelemahan mereka • Tren industri serta peluang niche yang belum tergarap • Risiko pasar dan hambatan masuk Hasil akhir yang saya perlukan mencakup: 1. Ringkasan eksekutif (maks. 2 halaman) yang merangkum temuan kunci. 2. Laporan riset lengkap berisi data kuantitatif dan kualitatif, grafik atau tabel pendukung, dan sumber referensi terverifikasi. 3. Rekomendasi praktis tentang langkah selanjutnya—misalnya segmen mana yang paling menjan...

Je cherche un soutien pour accomplir une tâche créative : transformer nos données marketing brutes en enseignements clairs et inspirants. Ma priorité est l’analyse de données ; je fournis les exports (CSV ou Excel) issus de nos campagnes e-mail, réseaux sociaux et publicités payantes. Je souhaite : • un nettoyage rapide des datasets pour éliminer doublons et valeurs aberrantes, • des visualisations percutantes (tableaux de bord, graphiques interactifs ou infographies) capables de raconter l’histoire derrière les chiffres, • une synthèse écrite mettant en avant les KPI clés, les tendances remarquables et des pistes d’optimisation créatives pour nos prochaines a...

I have a collection of numerical datasets and I’d like a well-structured Python workflow that lets me explore, clean, visualise and extract clear insights from them. The scope covers everything from loading raw files through to producing a set of summary statistics, meaningful charts and a concise write-up of the findings. Quality matters more to me than speed, so feel free to propose thoughtful approaches—whether it’s a classic pandas / NumPy pipeline, more advanced SciPy techniques or even light machine-learning models if they add value. I’ll supply the data and clarify any domain specifics once we start. Deliverables I expect: • Fully commented Python code (Jupyter Notebook or .py) • Cleaned dataset ready for future work • Visualisation...

I will be sharing a clean set of sales data and need a focused analysis that uncovers two things: how our monthly sales are growing over time and which products are truly driving (or dragging) that growth. The work should culminate in clear findings I can present directly to leadership—concise insights, supporting charts, and any key metrics you calculate along the way. Feel free to lean on Python (pandas, matplotlib / seaborn), R, Excel Power Query, or a BI tool such as Tableau or Power BI if it speeds your workflow; the choice is yours as long as the results are reproducible and easy to follow. Deliverables • A brief written summary of monthly sales growth and product-level performance, highlighting notable spikes, dips, and emerging patterns. • Visualizations (li...

I’m looking for reliable help on a data-analysis assignment that leans heavily on solid technical skills. The task revolves around cleaning, exploring, and drawing clear insights from raw datasets so I can turn them into meaningful, decision-ready findings. If you routinely work in Python (Pandas, NumPy, Matplotlib, or Seaborn) or R, and you’re comfortable building concise reports or dashboards, you’ll feel right at home with what I have in mind. Your workflow should include transparent documentation of the steps you take so I can replicate or extend the analysis later. When you send your proposal, put your experience front and center—briefly outline similar projects you’ve handled, the tools you used, and the measurable outcomes you achieved. That context w...

I need a complete, publication-ready systematic review that answers one clear question: how effective is Anti-CD38 therapy in treating antibody-mediated rejection after kidney transplantation? Scope • Data sources are limited to published meta-analyses; no single clinical trials or isolated case reports will be considered. • Key outcome measures that must be extracted and reported are overall survival rates, rejection rates, and documented adverse effects. What the delivered work should contain • A reproducible search strategy (MEDLINE, Embase, Cochrane Library, and any transplant-specific databases) with full search strings. • PRISMA flow diagram, inclusion/exclusion rationale, and a risk-of-bias appraisal appropriate for meta-analyses (e.g., AMSTAR-2). ...

I’m opening a remote fellowship at for inquisitive minds who want to push the frontier of Artificial Intelligence through truly exploratory research. The programme is research-and-development first, so there is no pressure to ship a commercial product; instead, you will be encouraged to formulate your own questions, test bold hypotheses, and document everything openly. You should already be comfortable reading recent AI literature, writing reproducible code (Python, PyTorch, JAX—use what feels right), and explaining complex ideas clearly. During the fellowship we will meet weekly to refine research directions, share findings, and make sure the work stays original and rigorous. Acceptance criteria & key deliverables • A one-page research proposal with clear questio...

We are preparing a small validation study for a consumer body-composition device. We need a biostatistician to help review the protocol and analyse test-retest reliability and agreement, including ICC, least significant change / measurement error, and Bland-Altman analysis. The engagement is small and focused, likely around 10–20 hours. Experience with medical devices, measurement reliability, repeated measures or clinical research is preferred. Please share one relevant example of a reliability/agreement analysis you have personally performed.

I am seeking a credentialed actuary or PhD/PhD-candidate statistician interested in a consulting project related to life expectancy calculation. I am a physician who regularly does consulting work related to life expectancy determination. I have developed a web-based calculator which I use in my work; I plan to publish that as both an article and book. A co-author to help validate and expand my medicolegal statistics would be very helpful. I am seeking someone who has experience with areas including: Survival analysis and survival curves Mortality/life-table methods and actuarial concepts Competing-risk models Epidemiology or population-health data R and/or Python for statistical analysis Documentation suitable for medico-legal or expert-report work Pay will be part-time hourly comme...

Latar Belakang Kesenjangan ekonomi merupakan salah satu permasalahan sosial yang masih dihadapi oleh berbagai negara, termasuk Indonesia. Kesenjangan ekonomi terjadi ketika terdapat perbedaan yang cukup besar dalam pendapatan, kekayaan, serta kesempatan untuk memperoleh pendidikan, pekerjaan, kesehatan, dan fasilitas kehidupan antara kelompok masyarakat yang satu dengan lainnya. Kesenjangan ekonomi dapat disebabkan oleh berbagai faktor, seperti perbedaan tingkat pendidikan, kesempatan kerja, keterampilan, kepemilikan sumber daya, pembangunan yang tidak merata, serta perbedaan akses terhadap teknologi dan modal. Masyarakat yang memiliki akses lebih besar terhadap sumber daya ekonomi cenderung memiliki peluang yang lebih baik untuk meningkatkan taraf hidupnya, sementara kelompok masyarakat...

I am formalising an end-to-end CDISC workflow document for my personal project and need a subject-matter expert who has actually lived through the process inside a contract research organisation. The goal is a single, well-structured document that maps every step—from first CRF draft to final submission package—and sets clear data-governance rules that our clinical, biometrics, and regulatory teams can adopt immediately. Scope of the workflow • Data Collection and Preparation: cover Case Report Form (CRF) design principles, Electronic Data Capture (EDC) configuration, and robust data-cleaning / validation checkpoints that align with CDASH and SDTM expectations. • Data Analysis and Reporting: outline Statistical Analysis Plan (SAP) development flow, traceability r...

I'm seeking a skilled researcher to assist with my quantitative dissertation. The primary focus will be on research and data collection. Key tasks include: - Designing and developing surveys - Collecting and organizing data - Ensuring data accuracy and reliability Ideal skills and experience: - Experience with quantitative research methodologies - Proficiency in survey tools (e.g., Qualtrics, SurveyMonkey) - Strong organizational skills - Attention to detail - Prior experience with academic research projects is a plus Looking forward to your proposals!

NOTE-1: If earning money is your main objective, please don't bid. NOTE-2: Applicants focusing solely on "Thesis Writing" or similar services will not be considered at all. Seeking an established STEM researcher for long-term collaboration. Requirements: * PhD in CS, computational science, bioinformatics, statistics, or related field * Established publication record * Professional standing to serve as a future academic/industry referee Collaboration: * Strengthen methodology and experimental design * Perform supplementary analyses * Co-write manuscripts and reviewer responses * Provide a reference letter after an established collaboration Full co-authorship for contributions meeting authorship standards, with opportunities for follow-up publications.

I’m running a short audience-research quiz aimed at students aged 18-24. Your answers will help me understand what really interests people in this group, so please respond truthfully based on your own experiences—there are no right or wrong choices. It takes no more than five minutes and I will release a flat $2 payment once I can confirm completion. How it works 1. Open the quiz here 2. Complete every question and hit “Submit.” 3. Take a screenshot of the final completion screen and attach it to your Freelancer delivery. Deliverable • One clear screenshot showing the quiz-completion confirmation. Only one submission per person is accepted. Payments are processed promptly after I verify the screenshot. Thanks for lending your voice to this student...

I need a data-savvy partner to dive into our historical sales data and turn it into an accurate, usable forecasting model. The raw files are already cleaned and stored in CSV format; what I lack is the analytical muscle to translate those numbers into forward-looking insight. The core objective is simple: improve our sales forecasting accuracy so we can plan inventory and staffing with greater confidence. I’m open to whichever toolset you’re most comfortable with—Python (pandas, scikit-learn, Prophet), R, or even advanced Excel/Power Query—so long as the end result meets these acceptance criteria: • A well-documented forecasting model that can be refreshed with new monthly data • A concise report explaining your methodology, key assumptions, and perfor...

I have collected a small set of survey responses for an MBA research assignment that explores inequality within the healthcare sector. The data are already entered in SPSS; what I now need is a clear statistical story that highlights any patterns or trends that emerge. Here is what I am after: • Descriptive statistics first—frequencies, measures of central tendency and dispersion—so that the basic shape of the data is obvious at a glance. • Two specific inferential checks: an ANOVA where it makes sense to compare group means and a Chi-square test on the categorical variables, both run and reported directly from SPSS. The end goal is to spot and articulate meaningful patterns rather than formally test a single hypothesis, so please keep the interpretation narra...

I need an experienced partner to help me design and run a consumer-behavior survey focused on understanding brand perception among Malaysian shoppers. What I’m after • Craft a clear, engaging questionnaire tailored to Malaysia’s cultural context and language nuances. • Deploy the survey online, reaching a representative sample across key demographics (age, gender, income, region). • Monitor responses in real time, ensuring quality and preventing duplicate or fraudulent entries. • Deliver a cleaned dataset plus a concise analysis report that highlights how consumers view my brand versus competitors, key sentiment drivers, and actionable recommendations. Preferred approach • Online surveys only—no face-to-face or phone work needed. Pop...

I want a fully reproducible workflow that turns raw satellite and vector data into a complete Urban Heat Island story for Wroclaw and Bengaluru. The job is split in two tightly-linked stages: one Google Earth Engine script and one Python routine. Stage 1 – Earth Engine Create a single .js file that I can run once per city. It must • pull daytime land surface temperature from Landsat 8 (collection 2, Tier 1 preferred) and export the raster plus a high-resolution PNG (Fig 8) • generate a Local Climate Zone map (Fig 9) but with boundaries adjusted to the most recent OpenStreetMap/urban extent layers rather than the default rule set • extract night-time land surface temperature from MODIS and export the corresponding raster/PNG (Fig 11) • output a city-wide...

I am putting together a single, end-to-end machine-learning pipeline that can ingest three kinds of data—text, numbers, and images—and turn them into actionable insight. The heart of the project is a blend of data analysis, prediction/forecasting, and natural language processing. I am lookng for AI specialist partners who can assist me with european based projects who are maybe in asia or americas. For text I will supply customer reviews, social-media posts, and scientific articles. I want sentiment and topic extraction from the reviews and posts, and key-concept summarisation for the articles. On the numerical side I have time-series and tabular metrics that need feature engineering followed by forecasting. Finally, the image component involves basic classification and the o...

PROJECT ONLY FOR COLOMBIAN'S FREELANCER 1. Objetivo del Proyecto Necesito freelancer colombiano con acceso verificado y experiencia técnica en la plataforma SISPRO (MIPRES / Cubos de Información) del Ministerio de Salud y Protección Social de Colombia, para realizar la extracción, estructuración y entrega de datos históricos de prescripción de Productos Nutricionales / Alimentos para Propósitos Médicos Especiales (APME). El acceso a los cubos de SISPRO es público y gratuito para cualquier ciudadano colombiano o entidad registrada a través del portal oficial con su cédula/usuario de Mi Seguridad Social. No se requieren licencias pagas ni permisos especiales de IPS/EPS, únicamente conocimientos ...

I am measuring the shadow of small, irregular plastic parts (1–10 mm) with a machine-vision setup and need to push repeatability below 8 µm. My current pipeline drifts to greater than 10–15 µm on the very same piece, so something in the capture or calibration chain is holding me back. System snapshot • Camera: 1280 × 1024 sensor, 4.8 µm pixels • Optics: zoom lens, field of view 10 × 8 mm • Method: back-lit silhouette, image processed for length and width What I need from you – Review the present imaging and processing flow. – Build (or refine) a calibration routine that factors pixel size, lens characteristics and stage alignment. – Tweak image-processing steps—thresholding, edge localisation, su...

I have a new membership programme aimed squarely at Town and Parish Councils and I need clear evidence of what they are willing to pay. To get there, I need 30–50 in-depth interviews completed – by phone or Zoom, whichever works best for each participant – and I must have the full insight report on my desk by 6 November. You will receive: • A pre-segmented target list with direct contact details • A discussion guide/ set of questions to confirm their interest in our new proposed membership offer, to understand which bits they would value most (validating some of our assumptions), and then to test what they will be willing to pay. We will provide our draft pricing structure as point of reference. • Any supporting material the interviewees may need to re...

I’m preparing a scholarly paper that explores a consumer-behavior question situated at the intersection of management and marketing. The study will be designed as a mixed-methods project, so I need support that comfortably moves between statistical analysis and qualitative interpretation. All primary evidence will come from existing databases and peer-reviewed publications; no field surveys or interviews are planned at this stage. Your role is to help me locate the most relevant datasets and literature, craft a rigorous methodology that blends quantitative and thematic techniques, run the analyses, and co-write the article up to journal-submission standard. Deliverables • Curated reference list and annotated dataset sources • Clearly articulated mixed-methods design (sa...

I'm seeking an experienced researcher to assist with my PhD assignments in Business and Economics. The ideal candidate will have a strong background in both qualitative and quantitative research methodologies, as well as proficiency in data analysis. Key requirements include: - Expertise in research and data analysis - Ability to work with mixed methods data - Strong analytical and critical thinking skills - Experience in academic writing and familiarity with PhD-level expectations Ideal skills and experience: - Advanced degree in Business, Economics, or related field - Proficiency in statistical software (e.g., SPSS, R, Stata) and qualitative analysis tools (e.g., NVivo, MAXQDA) - Strong organizational skills and ability to meet deadlines - Previous experience assisting PhD candid...

DISCLAIMER: AI GENERATED PROPOSALS WILL NOT BE CONSIDERED I am seeking an experienced freelancer to enhance my hotel review analysis software by expanding its data visualization and analytical capabilities. The software currently scrapes reviews from platforms like and Google Maps and performs basic sentiment analysis. I aim to improve the visualization and analysis of this data to provide deeper insights into customer sentiments and trends. Objectives: Expand the data visualization capabilities of the dashboard. Implement advanced data analysis techniques to extract meaningful insights from the review data. Enable export functionality to generate editable PDF reports of the analysis and visualizations. Core Responsibilities: Data Visualization Enhancements: Expand the existing dashb...