Statistical Analysis Jobs

I am looking for a Quantitative Research Specialist to finalize an academic manuscript of 2000 words. I have a full draft and specific supervisor feedback. You must directly implement technical corrections to the Moderation Analysis using the Banks & Gamblin framework. This includes rewriting sections to ensure the interaction effects are logically sound, adding 5-10 missing academic citations as requested by my supervisor, and ensuring the paper fits the university template perfectly. The project requires high-level technical writing and a deep understanding of moderation models to satisfy specific university supervisor requirements. Core Requirements: • Methodological Refinement: Update the methodology section to correctly implement the Banks & Gamblin moderation framewor...

I have a time-sensitive batch of NMR, mass spectrometry and IR spectra that must be interpreted accurately. Each sample contains several unknowns; I need both a confident structural identification for every component and a reliable quantitative breakdown of their relative abundances. The raw data have already been exported in common formats, so you can work in MestReNova, TopSpin, MassLynx, OpenChrom, MATLAB, Python (e.g., nmrglue, pymzML) or any comparable toolset you prefer, provided the final results are fully traceable back to the original spectra. Turnaround is critical: an initial draft report within 48 hours, with a short feedback cycle, then finalised results no later than five days from acceptance. Please show specific experience handling combined NMR–MS–IR workflow...

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’m looking for a curious, data-driven analyst who can carry out rigorous market research with one clear purpose: pinpoint emerging trends and untapped opportunities. This project isn’t about compiling a generic industry overview; I want actionable insight that can guide product and go-to-market decisions. Here’s how I picture the workflow: • You’ll help me define the exact market segment we should interrogate, drawing on preliminary signals and any early hypotheses I share. • Using publicly available datasets, reputable industry reports, social-listening tools, and news/API scraping where appropriate, you’ll build a fact-base that shows where demand is growing, which customer needs are still underserved, and what macro forces are driving change. ...

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 have seven ready-to-use datasets that must each be fitted to two candidate distributions: Gamma and LogNormal. Using R, please run the fits, calculate the full set of goodness-of-fit statistics (AIC, BIC, KS, AD, CvM) and produce four kinds of diagnostic graphics for every dataset / distribution pair: • PDF overlay on the empirical density • CDF overlay on the empirical CDF • P-P plot • Q-Q plot The plots should be delivered as high-resolution PDF files and must carry clear axis labels, legends, and concise annotations so that the reader can see which distribution is which and how well it performs. All file names should be systematic and self-explanatory. What I expect to receive 1. A clean, well-commented R script that reproduces the entire workflow on ...

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’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...

Proposal using CRISP-DM (not coding): •Describe problem, data, prep, modeling, evaluation •When doing Data analysis, add before and after measurement per company •Use this survey to extract the data structures and the data lookup: •Generate random dataset with 1000 records for the form shown at open-dma link above. Strictly from what the form offers!!! Generate Before and then a After dataset (a separate one with improved results). Save it to excel as and •Process the data in python •Create a function in python that will generate individual reports (word or PDF format) – sample 5 reports (for delivery), not 1000 and produce them as files. •Create visuals for the web report or individual reports as needed. •Elaborate any correlation between ...

I need an academically rigorous thesis that investigates water-pollution violations across the United States, combining robust data analysis with vivid, well-documented case studies. The core objective is to pinpoint patterns of non-compliance, highlight enforcement gaps, and propose policy-oriented solutions grounded in empirical evidence. Scope • National coverage: federal statutes (e.g., Clean Water Act) as the legal backbone, with state-level comparisons where relevant. • Case-study driven: at least three documented incidents—ideally spanning different industries and regions—to illustrate systemic issues and the real-world impact on ecosystems and public health. • Mixed-methods approach: quantitative analysis of EPA violation databases plus qualitati...

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) ...

Project: Titan-X Prime (Quantitative Options Scalper) Target Environment: Python 3.13 (Free-Threaded/No-GIL) Primary Goal: To capture high-conviction "Gamma Bursts" in Nifty Options while neutralizing the 2026 0.15% STT tax drag through microstructure-based precision. 1. System Architecture (Concurrency Model) The system must utilize a Multi-Threaded Producer-Consumer model to leverage Python 3.13’s true parallelism. • Thread 1 (Ingestion): WebSocket feed for Nifty Spot, Futures, and ATM/Near-OTM Option Chain (±10 strikes). • Thread 2 (Microstructure): Real-time calculation of Weighted Order Book Imbalance (WOBI) every 100ms. • Thread 3 (GEX Engine): Recalculation of Dealer Gamma Exposure (GEX) and Zero-Gamma Level every 60 seconds. • Thread 4 (Ex...

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 need a concise, evidence-based audit that demonstrates my physiotherapy service’s compliance with HCPC Continuing Professional Development (CPD) requirements. At present I do not have usable data, so the first step will be working with me to design a simple data-collection template, gather the necessary information from staff records and recent learning activities, and verify its accuracy. Once the data set is in place, I want you to analyse it against the latest HCPC CPD standards, highlight any gaps, and translate the findings into a clear, reader-friendly report suitable for submission should the regulator request evidence. Please include an actionable improvement plan that prioritises any shortfalls and suggests realistic timelines and monitoring metrics. Deliverables &bu...

I need a full, 100-page research “blackbook” in Microsoft Word on the topic “Public Perception of Mental Health Awareness Campaigns and Their Influence on Youth Attitudes.” The final document must be completely plagiarism-free and robust enough for academic scrutiny. ARRANGEMENT OF CONTENTS: The sequence in which the project report material should be arranged and bound as follows: 1. Cover Page 2. Inner Title Page (Same as cover page) 3. Certificate 4. Plagiarism Certificate 5. Acknowledgement 6. Abstract 7. Table of Contents 8. List of Tables 9. List of Figures 10. Abbreviations ( If any) 11. Chapters (1 to 5) 12. References 13. Appendices( If any) 14. Publication ( If any) The tables and figures shall be introduced in the appropriate places. TYPING INSTRUCTIONS: 1...

I’m looking for someone who feels at home inside NVivo and can guide a full thematic analysis from start to finish. I will supply a set of qualitative documents; your first task will be to import them, explore their content, and help me co-create a clear coding framework because I don’t yet have one in place. The core objective is to identify recurring themes and meaningful patterns. Once our framework is agreed, I’ll need you to code the material consistently, run the appropriate queries, and synthesize the findings into concise narrative output with supporting visuals straight from NVivo (e.g., word trees, cluster maps, coding frequency tables). Deliverables • Draft and refine a coding manual we both sign off on • Fully coded NVivo project file (.nvp...

I’m launching a focused pollution-control study on local waterways and need a researcher who can turn scattered information into a clear, evidence-based picture of what is really happening beneath the surface. The core of the job is data: finding it, validating it, analysing it and turning it into insights decision-makers can act on. You will help me locate and compile raw water-quality figures—field samples, public monitoring stations, satellite or drone readings, academic papers, anything reputable—then clean and merge those datasets in a way that lets us spot patterns of contamination over time. Solid skills in Excel, Python or R for data wrangling, plus basic GIS mapping to visualise hotspots, will be essential. Once the numbers are in shape, I’ll rely on you ...

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’m putting together an academic paper in the social sciences and need a skilled research writer to help me develop a rigorous, well-structured manuscript over the next four weeks. Your role will centre on locating and synthesising peer-reviewed sources, sharpening the research question, and producing a clear narrative that aligns with current scholarly standards (APA 7th). Here’s how I picture the collaboration: • Literature review – a comprehensive, up-to-date survey of journal articles, books and relevant grey literature, with a critical lens on theory and methodology. • Drafting and refinement – initial outline, full first draft, and two iterative revisions based on feedback. • Referencing – accurate in-text citations and a flawlessly ...

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

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’m building a long-term automated crypto trading system and need a seasoned crypto trader or quant to craft a clear, rule-based trend-following strategy focused on altcoins and deployable on Binance. long-term automated system clear rule-based trend-following strategy deployable on Binance What I expect: • A concise trading playbook covering entry, exit, position sizing, and risk-management rules that can be coded directly into a bot. • Definitions of market regimes (e.g., volatility filters, moving-average states) so the strategy adapts to changing conditions. • Back-testing results with key metrics—CAGR, max drawdown, Sharpe/Sortino—plus a brief explanation of assumptions, data sources, and slippage settings. • Parameter ranges or ...

I want to dig deep into the NIST SP 800-22 randomness test suite and document the entire journey from set-up to results. Your assignment is to: • study the concepts in “”, • download and compile the official tests from , • create several fresh bit streams of suitable length using your own generator. I intend these to be pseudorandom sequences produced with the “Cryptography doctor” approach I have in mind, so please do not rely on the NIST software itself as a source of bits, only as the evaluator, • run every applicable test in the suite against my sequences, capture all intermediate statistics, and interpret the p-values with respect to the recommended 1 % / 5 % thresholds, • prepare a clear report that explains each step: how you...

I have a bilingual data set of 1,000 sentences that is already translated. What I need now is a clear, defensible linguistic-quality benchmark for those translations. Here’s the core of the job: • Run a linguistic quality evaluation, expressing the results through ROUGE score. • Supply a concise report (tables + brief narrative) that explains what the score means for overall quality and highlights any outliers that deserve human review. • Share the clean, reproducible code you use—Python notebooks or scripts are fine so long as they run end-to-end on my side without extra setup beyond standard packages (e.g., SacreROUGE, NLTK, or Hugging Face tools). I will provide: – The 1,000 source sentences – Their current translations (reference) ...

I need a detail-oriented virtual assistant who can dedicate time exclusively to research tasks. The assignment centres on market-trend exploration, with a very clear spotlight on current shifts in consumer behaviour. What I expect from you • Identify reputable data sources—industry white papers, survey results, academic journals, social media sentiment tools—and pull the latest insights on how buyers are discovering, evaluating, and ultimately choosing products in my sector. • Distil those findings into concise weekly briefs (no more than two pages each) that highlight emerging patterns, notable statistics, and actionable implications. • Keep a rolling spreadsheet or Airtable with all references, dates accessed, and direct links so I can verify each insi...

I have a collection of mixed numerical and text records that need to be consolidated in Excel, cleaned, and structured so they are ready for further work. Once everything is organized, I also want to dive into statistical analysis—descriptive stats, correlations, significance testing, the works—and then translate the findings into clear, insightful charts or dashboards. I’ll share the raw spreadsheets, CSVs, and a few text files. Your job is to: • Merge and tidy the data (consistent formats, no duplicates, tidy column naming). • Run the agreed-upon statistical tests in Excel (or Power Query/PivotTables if that speeds things up). • Build a visualization layer—charts, conditional-format tables, or a compact dashboard—that highlights the key ...

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'm looking for a detailed simulation of 5G soft handover in Matlab for research and analysis purposes. Key Requirements: -Simulate system-level handover with integrated PHY and MAC layer modeling in MATLAB -Consider satellite, aerial (e.g., UAV/HAPS), and terrestrial segments within a SAGIN scenario -Support evaluation of handover performance using KPIs such as handover latency, throughput, packet loss, and connection stability Provide comprehensive analysis and visualization of results (e.g., KPI trends, CDFs, outage/interruption time, HO failure rate) Ideal Skills and Experience: - Proficiency in Matlab - Strong understanding of 5G network architecture and handover mechanisms - Experience in network simulation and performance analysis - Ability to present data clearly and concis...

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 need over 10 interviews analyzed using Atlas.ti. Each interview is about 30-60 minutes long. Themes and codes are already identified. Ideal Skills and Experience: - Proficiency in - Experience with qualitative data analysis - Strong analytical skills - Attention to detail

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...

I need an expert to craft a comprehensive policy brief focusing on financial regulation, specifically securities regulations. Key Requirements: - In-depth analysis of current securities regulations - Recommendations for policy improvements - Evidence-based insights and data Ideal Skills: - Strong background in economics and financial regulation - Experience in policy writing - Proficient in research and data analysis

I’m putting together a structured career-planning programme for students and recent graduates who are still unsure about their next step. What I need from you is a complete roadmap that covers three pillars: • Skill assessment & development – an easy-to-follow process (personality or aptitude tests, competency mapping, and a clear gap analysis) that ends with an actionable learning plan. • Networking strategies – concrete methods for building a professional network from scratch, including sample outreach scripts, LinkedIn optimisation tips, and guidance on finding mentors or industry groups. • Job-market analysis – up-to-date research on growth sectors, entry-level salary ranges, regional hiring trends, and any credible data sets or dashboard...

I am seeking an experienced academic researcher to deliver a complete, journal-ready research paper on Explainable AI (XAI) for predicting and interpreting student academic performance. The study must use multiple academic data sources (exams & quizzes, assignments & projects, and class participation records), which I will provide in CSV format. Scope of work: • Clean, preprocess, and align datasets using student IDs and time frames • Perform relevant feature engineering • Build at least one strong predictive model (with optional comparisons) • Apply explainability techniques such as SHAP, LIME, decision trees, or equivalent, with clear justification • Evaluate predictive performance and interpretability • Produce publication-quality visualizat...

I’m preparing a research paper that demonstrates how explainable AI can predict and interpret student academic grades using a mix of exams and quizzes, assignments and projects, plus class participation records. I already have raw datasets in CSV form; what I need is the complete experimental pipeline and a well-structured manuscript ready for journal submission. Here’s what I’m expecting: • Clean and engineer the three data sources so they align on student IDs and time frames. • Build at least one solid predictive model—feel free to compare alternatives—but tie every result back to a clearly articulated explainability layer (e.g., decision trees, SHAP, LIME or any other method you justify). • Evaluate accuracy and, just as important, hig...

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 looking for an expert in Excel to create a detailed compensation analysis The model should help in compensation benchmarking analysis . Key requirements: - ability to add multiple surveys into the file and the ability to weight the different surveys different based off position. Built out for at least 3 survey sources - columns for 25th, 50th, and 75th percentiles for base pay, total cash, and long term incentives. Should also include bonus target as a %Ike and bonus actual as a $ value - Detailed compensation insights Ideal skills and experience: - Advanced Excel proficiency - Experience in modeling - Attention to detail - ability to

I run a digital product business selling market research on and need someone to handle daily Twitter engagement to grow my audience. Your daily tasks (1-2 hours): Like 50-100 tweets in entrepreneurship/online business/Whop/digital products niches Leave 15-20 valuable comments on tweets from accounts with 1k-50k followers Schedule 2-3 pre-written tweets per day using [whatever tool you pick - TweetDeck/Buffer/Hypefury] Reply to basic questions and thank-yous with short responses Flag any important DMs or serious buyer questions for me to handle What I need from you: Fluent English (you'll be representing my brand in comments) Understanding of online business/entrepreneurship language Ability to sound natural, not robotic or spammy Reliable - same time every day, no disappearing Pri...

I need a fully-developed Simio model that follows every one of the 2,750 plates from the moment they arrive by truck until the last unit is set down in the yard. There are 109 colours, exactly 25 plates per colour, and each colour must remain together in the same three-slot crane position. If a later plate of an already-started colour shows up, the Rubber-Tired Gantry (RTG) has to travel back to that original position before it can discharge the plate. Operational facts you must replicate • Trucks: 10 per calendar day, 12 plates each, arrivals spread randomly over 24 h. • RTG travel speed: 4 km/h. • Crane positions: three usable slots per stop. • Discharge time: 1.5 min per plate, continuous 24 / 7 operation. Scope of the model – High-detail, entity-...

I need a data-savvy investigator to help me confirm whether social-media content is being deliberately down-ranked or hidden. My sole aim is to identify suppressed algorithms, with a particular emphasis on content-visibility suppression on major social platforms. You will design and execute an evidence-based study: gather relevant data points (public APIs, scraped feeds, or previously archived datasets), apply statistical or machine-learning techniques to spot anomalous reach patterns, and document any rules, thresholds, or signals that appear to mute posts. I am open to your preferred toolkit—Python, R, SQL, or specialty OSINT platforms—as long as the workflow is reproducible. What matters most is a clear, defensible methodology, transparent code, and a concise explanati...

I’m looking for a data scientist based anywhere in Latin America to help me create reliable predictive models for a finance-focused project. You’ll start with large historical datasets stored in SQL and deliver models that accurately forecast key financial indicators. I work mainly with Python, so you’ll find Pandas, NumPy, Scikit-learn and, when deep learning is justified, TensorFlow already in place. If you prefer R for certain tasks, that’s perfectly fine as long as the final workflow remains reproducible. The end-user needs to consume insights through Power BI, so once the model is validated I’ll ask you to craft intuitive dashboards that highlight drivers, confidence ranges and any red-flag anomalies the model detects. Solid statistical grounding is esse...

I have a structured e-commerce dataset sitting in Excel/CSV format that needs a thorough exploratory data analysis. My goal is to turn raw tables into an insightful visual narrative—clear charts, concise commentary, and an executive-style report or interactive dashboard that highlights the key patterns hiding in the numbers. Here is what I need from you: • A clean, well-documented analysis (Python with pandas, seaborn/matplotlib or R tidyverse are fine) that walks through data profiling, outlier handling, and any necessary feature engineering. • Compelling visualizations—think sales trends, category performance, customer behaviour—that can be dropped straight into a slide deck or shared as an interactive report (Tableau, Power BI, or a notebook with embedded...

I'm looking for an expert in multi-fidelity Bayesian optimization to optimize material science processes, potentially focusing on reaction optimization. Key requirements include: - Optimize processes using numerical and categorical data - Experience in material science and Bayesian optimization - Strong analytical skills to interpret complex datasets Ideal skills and experience: - Proven track record in multi-fidelity Bayesian optimization - Background in material science, particularly in reaction optimization - Proficiency in handling both numerical and categorical data

I’m looking for someone who feels at home inside NVivo and can guide a full thematic analysis from start to finish. I will supply a set of qualitative documents; your first task will be to import them, explore their content, and help me co-create a clear coding framework because I don’t yet have one in place. The core objective is to identify recurring themes and meaningful patterns. Once our framework is agreed, I’ll need you to code the material consistently, run the appropriate queries, and synthesize the findings into concise narrative output with supporting visuals straight from NVivo (e.g., word trees, cluster maps, coding frequency tables). Deliverables • Draft and refine a coding manual we both sign off on • Fully coded NVivo project file (.nvp...