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I’m putting together a concise collection of geometry multiple-choice questions aimed squarely at 8th-grade students. I need between 10 and 20 well-crafted items that reflect the depth and style found in typical junior-high textbooks and state assessments. Please make sure each question: • Targets an 8th-grade geometry concept (angles, triangles, similarity, Pythagorean theorem, basic volume, etc.). • Presents four answer options, clearly marking the correct one. • Includes a brief, one-sentence rationale or worked solution that I can share with students after they respond. Deliverables 1. A single editable document (Google Doc or Word) containing 10-20 MCQs. 2. A separate answer key or section at the end of the file with explanations. Clarity, age-appropr...

I’m assembling a fresh bank of Junior High School mathematics questions and need a detail-minded educator to craft brand-new, student-friendly problem-solving exercises. Every item must be written as a clear multiple-choice question, aligned with the syllabus for Grades 7-9. You’ll receive a template that shows the tone, notation, and layout I expect; simply drop your content into it so everything stays consistent. While the exact mix of Algebra, Geometry, and Statistics & Probability can vary, please balance the set so learners see a representative spread of skills. Accuracy and originality are non-negotiable—I’ll be running random checks for computational mistakes and plagiarism. Keep wording concise, minimise reading load, and avoid tricks that test readi...

I have a collection of LaTeX source files that cover Calculus and Algebra, Physics and Chemistry, as well as Biology and Statistics. The technical content is already written; what I need now is clear, concise explanatory comments inserted directly into the .tex code so another instructor—or an advanced student peeking under the hood—can immediately understand the reasoning behind each formula, derivation, and data set. Because I use a mixed tool-chain, you’re free to stick with the core LaTeX environment or bring in TikZ, PGF, AMS-LaTeX, or any other package you feel suits the job; I have no fixed preference as long as the final documents still compile cleanly with pdfLaTeX. Scope of work • Open each provided .tex file and weave in thoughtful, well-formatted comm...

I have several datasets stored in Snowflake that need to be surfaced through polished, insightful Power BI assets. I’m looking for someone with truly advanced Power BI skills who can: • Shape and model the data efficiently once it is pulled from Snowflake • Build clean, reusable measures and calculations • Turn those models into interactive reports that tell a clear story • Wrap everything into executive-ready dashboards with thoughtful layouts and drill-throughs Only a basic grasp of Snowflake is necessary—you’ll mainly be connecting, importing, and refreshing tables, not administering the warehouse itself. I have the Snowflake credentials ready and can handle any permission work on my side. Please share a brief note on similar Power BI model...

I need a comprehensive statistical analysis report for my research project data using Excel. The data is observational in nature and is currently organized in an Excel spreadsheet. Requirements: - Descriptive statistics - Cox regression hazard model Ideal Skills and Experience: - Expertise in statistical analysis, particularly with Cox regression - Proficiency in Excel for data manipulation and analysis - Experience working with observational data - Ability to deliver clear and concise reports cause-specific Cox model → death as competing event → restricted cubic spline for delay duration → Fine–Gray sensitivity analysis

I run a retail operation and want to turn the raw data we collect into clear, practical intelligence. The goal is to understand why customers buy, how their habits shift over time, and which factors drive repeat purchases so I can refine merchandising, promotions, and loyalty efforts. I can provide any combination of purchase history, demographic information, or website interaction data once we agree on the best approach. Your task is to explore the data, surface patterns, and translate them into an easy-to-read report with actionable recommendations—think trend visualisations, segment profiles, and concrete next steps I can implement right away. Please outline the methods and tools you prefer for data cleaning, exploration, and visualisation (e.g., Python/Pandas, R, Tableau, Power...

I’m seeking online maths and science tutors for high‑school students, with lessons delivered to small groups of 1–4 learners. Applicants should provide evidence of subject expertise, including any relevant qualifications. University students are welcome to apply. This is a budget‑conscious project, so competitive pricing will be an important factor in selection (Will favour cheaper bids). Please also include a general indication of your availability (days and times).

I need an experienced analyst to turn my historical sales data into a forward-looking forecast entirely in Excel. Your task is to clean the raw figures, build an accurate predictive model, and present the results in a format that a non-technical stakeholder can understand at a glance. The dataset arrives as monthly CSV exports. After cleaning, I expect you to apply appropriate time-series or regression techniques available within Excel—think Data Analysis ToolPak, Power Query, Solver, or even VBA if it streamlines the workflow. Please document every transformation step so the model can be refreshed with new data later. Deliverables • A well-structured Excel workbook containing: – The cleaned data sheet – The predictive model with formulas fully visible &n...

I have several spreadsheets that are growing more complex, and I need a fresh set of eyes to build the right formulas so the data tells its story clearly. My main focus is data analysis, but the work is mostly at a “basic Excel” level—think lookup logic that always lands on the right value, straightforward statistical summaries, and the occasional quick pivot to slice information for management. What I’m looking for is someone who can jump straight into the sheets, understand the structure, and then craft reliable functions that keep results accurate even as new rows get added. If you are comfortable with VLOOKUP / HLOOKUP (or better, INDEX-MATCH), simple statistical measures like AVERAGE and STDEV, and setting up pivots that refresh cleanly, that’s exactly t...

I have several spreadsheets that are growing more complex, and I need a fresh set of eyes to build the right formulas so the data tells its story clearly. My main focus is data analysis, but the work is mostly at a “basic Excel” level—think lookup logic that always lands on the right value, straightforward statistical summaries, and the occasional quick pivot to slice information for management. What I’m looking for is someone who can jump straight into the sheets, understand the structure, and then craft reliable functions that keep results accurate even as new rows get added. If you are comfortable with VLOOKUP / HLOOKUP (or better, INDEX-MATCH), simple statistical measures like AVERAGE and STDEV, and setting up pivots that refresh cleanly, that’s exactly t...

I’m advancing an academic study in the natural sciences and need a skilled researcher to accelerate the work. The core of the project involves locating and critically appraising peer-reviewed literature, extracting key data points, and weaving them into a clear, well-structured narrative that aligns with publication standards. You will dig through databases such as Web of Science, Scopus, or PubMed, track down primary sources, and summarise findings with proper citations (APA, MLA, or the journal’s house style—let me know if you have a preference). Once the literature base is solid, I’ll rely on you to highlight gaps, refine the research question where necessary, and draft concise sections—introduction, methods overview, and discussion—ready for my re...

I have an academic assignment centred on supervised learning and I need clear, concept-driven help to complete it well. I will share the written brief, datasets (if any), and my own draft work; no university logins or personal credentials will be provided. Scope of support • Break down the assignment requirements in plain language, highlighting key supervised-learning ideas (e.g., model selection, loss functions, evaluation metrics). • Walk me through how to tackle each question, reinforcing the underlying theory so I fully grasp why each step matters. • Supply illustrative examples—concise notes, diagrams, or annotated snippets—so I can see the ideas in action without simply copying finished code. • Review the solutions I draft, point out misconceptions or...

### Hydrodynamic Modelling Validation Freelancer Required I am looking for an experienced **hydrodynamic/coastal modelling freelancer** to assist with **model calibration and validation** for a marine/coastal modelling project. The freelancer should have strong experience in **MIKE 21**, particularly in model calibration, validation, and statistical analysis. ### Scope of Work * Review the existing hydrodynamic model setup and simulation results. * Compare model outputs with **in-situ/current meter observations**. * Perform calibration and validation of: * **Current Speed (CS)** * **Current Direction (CD)** * **Water Level** * Identify the main causes of discrepancies between modelled and observed data. * Adjust/calibrate appropriate model parameters, boundary conditions, bathym...

"Retrieval-Augmented Generation (RAG)" chatbot: official public documents are ingested, chunked, embedded, and stored in a vector database. When a user asks a question, the system retrieves the most relevant passages and uses an LLM to generate an answer grounded in that retrieved content — with every factual claim cited to a specific source and date. If the system can't find a reliable source, it says so instead of guessing. ## Key Features - "Grounded, cited answers" — every claim traceable to a specific document, section, and date - "Three answer types" — quick factual lookups, analytical/statistical summaries (trends, comparisons), and step-by-step procedural guidance - "Hallucination guardrails" — a verification ste...

I have a collection of well-formatted CSV files and a live SQL database that I need to turn into clear, insightful visuals. The core of this engagement is data visualization—using Python to translate rows and columns into plots, dashboards, or interactive charts that quickly communicate trends and outliers to non-technical stakeholders. You will have direct access to the structured data; most of it is already clean, so the emphasis is on choosing the right libraries (Pandas, Matplotlib, Seaborn, or Plotly—whatever suits the story best), crafting reusable code, and presenting the results in a concise, easy-to-update format. If you are comfortable adding light data-cleaning steps or basic statistical summaries along the way, that flexibility is welcome, but not required. De...

I have a collection of medical case series stored in Word documents and a well-defined hypothesis that I now want to test through a properly designed cohort study. The raw notes include patient demographics, clinical features, interventions, and outcomes, but they need to be extracted, coded, and organised into an analysable dataset first. Your role is to turn those narrative files into a structured cohort analysis that will stand up to peer review. This involves outlining the cohort design, specifying inclusion/exclusion criteria, transforming the text data into a clean spreadsheet or database, running the appropriate statistical tests, and writing up the results in line with STROBE guidelines. I am comfortable with R, SPSS, or Stata outputs; choose whichever you prefer as long as the ...

I’m looking for hands-on guidance that will strengthen my technical toolkit specifically in statistical analysis. My aim is to move beyond simply running canned tests and instead understand the “why” behind each method, interpret results confidently, and apply them to real-world data sets. Here’s what I have in mind: • A clear learning plan that starts with core concepts (descriptive statistics, hypothesis testing, confidence intervals) and progresses into more advanced topics such as regression, ANOVA, and multivariate techniques. • Live or recorded walkthroughs of each concept using widely-used tools—Excel, Python (pandas, SciPy, statsmodels) or R—whichever you feel most comfortable teaching. • Practical exercises with sample or c...

I have completed a study on the insecticidal potential of essential-oil-based formulations used to protect stored dates and now need it shaped into a publishable scientific article. You will start from my raw research notes, data tables and lab photographs to craft a full manuscript and deliver the finished work as a clean, submission-ready PDF. The article must read like a peer-reviewed paper: concise abstract, clear introduction, well-structured materials and methods, rigorously presented results, and a solid discussion that integrates statistical analysis with current literature. I want all three pillars—methodology, experimental results and data analysis—developed in depth so reviewers can replicate and critique the work with confidence. Because the subject sits at the cr...

I am seeking an experienced systematic-review researcher to comprehensively revise and finalize a manuscript and its supplementary files. The work must follow PRISMA 2020 and report only procedures that have actually been completed and verified. Scope of work: 1. Verify and standardize the review period as 2016–2025 throughout the title, abstract, Methods, Results, tables, PRISMA diagram, and supplementary files. 2. Verify the searches in PubMed/MEDLINE, Embase, and Web of Science. Provide: * Exact database-specific search strings; * Search dates and limits; * Search histories or exports; * Records identified from each database; and * Confirmation that eligible 2025 publications were systematically searched. If the original searches cannot be verified, they must be rerun and doc...

I manage a fast-moving quantitative fund and I’m expanding the team on two fronts: deep fundamental research and purpose-built trading technology. RESEARCH ANALYSIS Your core mission is digging into papers and reports—academic studies, sell-side notes, 10-Ks, industry white papers—and pulling out the insights that move markets. I lean heavily on options and futures, so I’ll look to you to translate those findings into structured spread ideas, monitor relevant news flows, and keep a tight watch on sector-level fundamentals. Speed matters, but rigor matters more. This role requires daily updates and reports. SOFTWARE ENGINEERING In parallel, I need an algorithmic trading stack that can ingest live market data, run ML-driven models, execute orders, and log performanc...

I run a small, fast-moving operation and need a sharp mind beside me every weekday from 8 a.m. to 4 p.m. Eastern (New York) time. During those hours you will sit at your computer, dive into live sources of financial data, and turn raw numbers into clear, actionable findings I can use immediately. Your main focus is research and analysis. Strong data-analysis skills are essential—you should feel at home in Excel or Google Sheets, able to spot patterns quickly, calculate metrics on the fly, and sanity-check results against multiple sources. If you already dabble in tools like Python, R, Power BI, or specialized market platforms, that’s great, but your willingness to learn new techniques is even more important. Discipline, punctuality, and the stamina to stay engaged on screen f...

I am building an end-to-end Python solution that automatically ingests, processes, and reports on financial data pulled from CSV files, SQL databases, and live APIs. Clean, well-structured, and easily maintainable code is essential because the system will be extended over time. Scope of work You will take the project from initial design through deployment. That includes setting up the data-collection pipeline, writing transformation and analysis modules, implementing robust error handling and logging, building unit / integration tests, and preparing a production-ready deployment script or container. The stack is entirely Python, so I expect idiomatic use of tools such as pandas, SQLAlchemy, asyncio, and, where it adds value, lightweight AI/ML components for anomaly detection or forecast...

I need a comprehensive data preparation and transformation for a mixed dataset, both structured and unstructured. The project will also involve cleaning the data and creating insightful visualizations. Requirements: - Introductory content for the report to briefly describe the dataset - Use of Power BI for: - Visuals like spotlight/doughnut charts, decomposition trees, etc. - Inferences from bookmarks to be included in the report The ideal freelancer should have: - Proficiency in Power BI - Strong skills in data cleaning and transformation - Experience with both structured and unstructured datasets - Ability to create clear, informative visual reports Looking forward to your bids!

I need a comprehensive data preparation and transformation for a mixed dataset, both structured and unstructured. The project will also involve cleaning the data and creating insightful visualizations. Requirements: - Introductory content for the report to briefly describe the dataset - Use of Power BI for: - Visuals like spotlight/doughnut charts, decomposition trees, etc. - Inferences from bookmarks to be included in the report The ideal freelancer should have: - Proficiency in Power BI - Strong skills in data cleaning and transformation - Experience with both structured and unstructured datasets - Ability to create clear, informative visual reports Looking forward to your bids!

I am undertaking a study on how artificial-intelligence-driven learning analytics and feedback can create highly personalized learning experiences for students who are pursuing innovation and entrepreneurship subjects. The goal is to map current academic and industry knowledge, surface successful use-cases, and spot gaps where new products or pedagogical approaches could emerge. Your work will centre on four key activities: • A systematic literature review (peer-reviewed journals, conference proceedings, and authoritative white papers from the past five years). • Comparative analysis of leading AI analytics platforms or prototypes already influencing student learning in entrepreneurship courses. • Identification of measurable student outcomes (engagement, retention, crea...

I have a raw dataset that needs to be explored, cleaned, and turned into clear business insights. Excel is my preferred environment, so formulas, PivotTables, Power Query, and easy-to-refresh dashboards should be at the heart of the solution. If you see value in quickly prototyping advanced models in Python (Pandas, Scikit-learn) or R and then translating the results back into Excel, I’m open to that—but the final deliverable must remain fully functional inside an .xlsx file. What I expect: • A well-structured Excel workbook that cleans the data, performs the analysis, and presents results on a summary dashboard. • Concise written explanations of key findings, assumptions, and recommended next steps. • Any supporting scripts or notes if you use supplementary...

I have a full randomized-controlled trial manuscript together with my internal presentation guidelines and I need a qualified statistician or biostatistician to turn that material into a clear, 20-minute slide deck aimed at fellow research scientists. The core emphasis must be on explaining the study design and methods in language that a room of PhD-level researchers will immediately grasp. The trial relies mainly on descriptive statistics, so every table and graph you include should illustrate how those summaries support the protocol decisions and primary outcomes. Please keep the statistical explanations precise but concise; I want the audience to see exactly why each metric was chosen without having to decode jargon. While design and methods take centre stage, I still expect brief, w...

I need an experienced statistician/biostatistician to create a complete PowerPoint presentation from scratch for a 20-minute journal review of a published JACC randomized clinical trial. A full speaker script/notes must be included for each slide. The presentation should clearly explain the study purpose, design, methods, statistical analyses/models and why they were used, results, interpretation, strengths, limitations/bias, and clinical significance. I also need the statistician to teach me the study and statistics afterward so I can understand the presentation and confidently answer questions. I will provide the article and specific journal review guidelines.

Description I am looking for someone experienced in EEG data analysis using MATLAB and FieldTrip to provide analysis support for a university research project investigating the effects of attentional load on multisensory integration (MSI). I have already completed data collection and have the raw EEG data in BrainVision format (.eeg, .vhdr and .vmrk) for multiple participants. The experiment includes auditory (A), visual (V) and audiovisual/bimodal (AV) stimuli. Participants also completed an N-back manipulation involving 0-back, 1-back and 2-back conditions, which is being used to manipulate attentional/cognitive load. The overall aim is to investigate whether multisensory processing/integration changes depending on attentional load, using behavioural and EEG measures. I am looking f...

I need a MATLAB expert to analyze EEG data from a research experiment. Key requirements include: - Experience with various EEG analysis techniques, especially ERP, frequency, or connectivity analysis. - Proficiency in EEG signal preprocessing like filtering, artifact removal, normalization, and epoch extraction. - Ability to handle and interpret complex datasets. - Strong background in neuroscience or related fields is a plus. Please provide detailed analysis methods and tools you plan to use in your bid.

Seeking a midwest expert to do IN PERSON TESTING(S) Audits in CHICAGO for college-level mathematics placement exam(s). You must be a male between the ages of 20-40 years of age. Recent Headshot required. Be able to pass college alegbra-calculus level. This is not a remote position. This is an in person or online proctored exam in and around the Chicago area. No outside of USA applicants will be considered. Key Requirements: - The Protored exam(s) will take place in CHICAGO or surrounding suburbs. You should be Alegbra Calculus level math or higher college-level math skills. Pay is $50-100 per hour (1-3 hours work.) Contract work will be on a Per needed basis. Flexible schedule , where you get to pick the time of the test(s) withing daily operational times and how many you would like to ...

I’m looking for thorough competitor analysis within the healthcare space to guide an upcoming strategic review. I will supply a short list of direct and indirect competitors; from there I need you to dig deep and turn raw data into clear, decision-ready insight. Your task covers the full research cycle: gathering publicly available information, identifying product and service lines, pricing models, key differentiators, recent funding or partnerships, market share indicators, and any patient or customer sentiment you can source from review sites or social channels. Feel free to tap industry databases, annual reports, SEC filings, Statista, PubMed, and similar resources—whatever yields verifiable facts. Please structure findings in a concise slide deck or report accompanied by ...

Saya sedang mencari tutor yang sabar dan berorientasi pada hasil untuk membimbing saya di dua mata kuliah inti—Riset Operasional dan Ergonomi—sehingga saya dapat menghadapi ujian kampus yang akan datang dengan percaya diri dan langsung lulus pada kesempatan pertama. ​Semua sesi akan diadakan secara online, jadi harap pastikan Anda terbiasa menggunakan aplikasi video conference dan papan tulis kolaboratif (collaborative whiteboards) untuk memecahkan masalah secara real-time. Fitur berbagi layar (screen sharing) untuk membahas contoh soal dan soal-soal ujian sebelumnya adalah syarat wajib. ​Berikut adalah hal-hal yang saya butuhkan dari Anda: ​Penjelasan tahap demi tahap yang jelas untuk teori-teori dan rumus-rumus utama. ​Kumpulan latihan soal terstruktur yang menyerupai tipe...

I have a dataset that needs a focused trend analysis and I’d like your help with the data cincse side of things. What matters most to me is uncovering clear patterns, explaining what drives them, and presenting the results in a way that makes next-step decisions obvious. Here’s what I have in mind: • Work through the raw data, clean it where necessary, and structure it for analysis. • Carry out the core trend analysis, highlighting any seasonality, upward or downward movements, and outliers that deserve attention. • Summarise the findings visually—charts, dashboards, or other intuitive visuals—so stakeholders can grasp the story at a glance. • Deliver a concise report (code notebook or slide deck) that walks through your methodology and ke...

I have already screened and extracted data for 36 studies in Covidence; the export sits in a single CSV. Before any statistics can run, that file still needs to be cleaned and mapped to RevMan-friendly fields, then loaded into RevMan to generate my descriptive meta-analysis outputs. Here’s what I need from you over the next two weeks: • Re-format and clean the CSV so study IDs, comparison arms, outcome names, effect sizes, and variances align with RevMan 5.4 (or newer) requirements • Enter the data into a new RevMan project, structuring all comparisons and outcomes as per my protocol • Produce the standard descriptive outputs: forest plots, overall effect estimates, heterogeneity statistics, and any RevMan summary tables • Return the completed .rm5 file pl...

I have already extracted all modal-verb tokens from two learner corpora—one tagged “Intermediate,” the other “Advanced”—and calculated their normalized frequencies (per 10,000 words). What I still need is a statistically sound comparison of those frequencies. Please run log-likelihood (LL) tests in SPSS to determine whether the differences between the two proficiency levels are significant. If the LL results indicate that additional inferential statistics would clarify the picture—say, a follow-up effect-size measure or confidence interval—you may include them, but keep the focus on the LL output itself. Deliverables • SPSS syntax file and/or detailed steps so I can replicate the procedure • The SPSS output tables and a brief ...

I’m preparing a study that explores how leader burnout affects ethical leadership in healthcare organizations, both directly and indirectly through ego depletion. To move forward, I need expert help with the full survey-based research workflow. Scope of work • Turn my conceptual model (Burnout ➔ Ethical Leadership, plus Burnout ➔ Ego Depletion ➔ Ethical Leadership) into a clear, publishable study design. • Develop or refine survey and questionnaire items that capture: – Emotional exhaustion – Depersonalization – Personal accomplishment – Ego depletion – Ethical leadership behaviours • Ensure items are worded for healthcare leaders, who will be the sole respondents. • Set up the instrument in a platform s...