Statistikë Jobs

I need a thorough, data-driven look at current and emerging market trends on a global scale. The focus is squarely on trend intelligence rather than competitor profiles or customer demographic deep-dives, so the work should zero in on where the market is heading, why it is moving that way, and what quantifiable signals back those movements. You’ll gather fresh, reputable data (industry reports, financial filings, public datasets, credible news feeds, etc.), analyse it, and turn the findings into a concise, decision-ready package. I’m most interested in clear patterns: growth rates, technology shifts, regulatory changes, and consumer behaviour indicators that could shape strategy over the next 12–24 months. Deliverables • A well-structured spreadsheet (Excel or Go...

I need a concise yet in-depth fundamental analysis covering the financial health behind several major cryptocurrencies. Rather than chart patterns, I want the spotlight on company or project financials—treasury size, cash-flow sources, burn rate, token distribution schedules, revenue models, and any audit-verified reserves that could affect long-term price stability. Your report should: • Examine at least the top two coins by market cap plus any additional assets you believe merit attention. • Draw on on-chain data, quarterly disclosures, tokenomics documents, and reputable third-party audits. • Highlight red flags as well as sustainable growth signals, backing each point with verifiable data and citations. A clear executive summary, data tables, and a shor...

I am building a small learning project for my Diploma in ICT and need a clear, well-commented Python solution that reads a JSON dataset, performs descriptive statistics, and presents the results in a way a newcomer can understand. Here is what I have in mind: • The script should load a supplied JSON file, validate its structure, and extract numerical fields automatically. • Compute key descriptive measures such as count, mean, median, mode, min-max range, standard deviation, and any other basic metrics that add insight. • Display the findings in a tidy console table; a simple Matplotlib or Seaborn histogram for at least one variable would be a plus but not mandatory. • Keep everything beginner-friendly: straightforward function names, docstrings, and inline c...

I need an operations management report formatted according to specific requirements. The report must be AI-generated and plagiarism-free, with the following elements: Statistical Analysis Theoretical Framework Ideal Skills and Experience: - Expertise in operations management - Proficiency in statistical analysis - Familiarity with theoretical frameworks in the field - Strong command of academic writing and formatting Please ensure the final document meets academic integrity standards and is free of plagiarism.

AI-Based Football Video Analytics – Research Project I’m looking for an AI/ML + Computer Vision developer/researcher to develop an experimental research prototype + research paper on: “AI-Based Low-Cost Video Analytics System for Assisting Grassroots Football Talent Identification.” Project Scope I already have football video footage. The goal is to build a research-level prototype, not a commercial application. Workflow: Football Video → Preprocessing → Player Detection (YOLO) → Player Tracking (ByteTrack/BoT-SORT) → Movement/Position Analysis → Feature Extraction → Player Performance Metrics → Analytical Player Profile Possible metrics include distance, estimated speed, movement intensity, trajectories, field/zone coverage,...

I have a corpus of plain text that needs to be explored through topic modeling. The job is strictly data analysis: no data entry or cleaning tasks are required beyond the usual NLP-oriented preprocessing steps. What I expect you to do • Pre-process the text (tokenisation, stop-word removal, lemmatisation, n-grams as needed). • Build and tune one or more unsupervised models—LDA, NMF or any well-justified alternative—for coherent topic extraction. • Interpret each topic with clear keyword lists and, where helpful, short example snippets. • Provide reproducible Python code (Jupyter notebook or .py script) plus a brief write-up of methodology, parameter choices and results. Acceptance criteria • Code runs end-to-end on my machine without missi...

I’m looking for a reliable educator who can give my students both one-on-one tutoring and hands-on help completing school assignments. The support will cover every core subject—Bahasa Indonesia, Mathematics, Science, Social Studies, and any others that arise—for learners from elementary through senior high school (SD to SMA). Here’s what I need: • Private lessons scheduled online or in person, tailored to each pupil’s pace and learning style. • Clear, well-structured explanations of concepts, followed by practice questions and feedback. • Assistance preparing homework, projects, summaries, PowerPoint slides, or posters when required, always produced in clean, accurate Indonesian. • Punctual delivery of all materials and respect for a...

I’m sitting on a full month of population-wide nutritional values and intake data from March 2023 and need it turned into a clear, actionable picture of how balanced (or unbalanced) our diet really is. Your task is to interrogate the numbers, benchmark them against recognised dietary reference intakes, and explain—through both visuals and narrative—where the major excesses and deficiencies lie. You’ll start by cleaning and structuring the raw dataset, then run an in-depth macro- and micronutrient breakdown. I’d like to see comparative charts, heat-maps, or dashboards that instantly show how the average intake stacks up against guidelines. Evidence-based recommendations should follow, offering practical steps to nudge the population toward a healthier balance....

Algorithms Whether you know it or not, algorithms shape your experience on social media platforms and in search engines. What is fed TO YOU is personalized based on who you are, past searches, content you engage with, and a host of other factors. This means you live in a bubble of information that you probably aren’t even aware you’re immersed in. In this assignment, you will explore the role of algorithms in shaping user experience on social media platforms. You will examine how algorithms personalize content and the ethical considerations that come with their use. This will help you understand how data-driven decisions influence user engagement, content visibility, and platform dynamics. Objectives: Understand how social media algorithms work. Explore the impact of algorithm...

I have several papers ready for publication, but I believe their quality needs improvement because they were rejected by Scopus-indexed journals. I am looking to collaborate with a co-author who can help refine these papers. In return, I am offering financial compensation. If you are interested in becoming a co-author and earning compensation, please let me know. I would also like to know if you have a Google Scholar or ResearchGate account so we can coordinate our collaboration

I have a raw customer dataset and I need a predictive model that can automatically segment these customers into actionable groups. The job begins with cleaning and preparing the data, moves on to feature engineering, and culminates in training and validating a segmentation model in Python—ideally using pandas, scikit-learn (or similar), and clear visual output via matplotlib or seaborn. What matters most is accuracy and interpretability. I want to understand which features drive each segment, so well-commented code, concise documentation, and an executive-level summary of insights are essential. Final deliverables should include: • A reproducible Python script or notebook • The trained model (saved or easily retrainable) • A brief report highlighting key segments...

NOTE: This is purely intellectual partnership. Money is not a motivation in this project. Seeking an established researcher for long-term collaboration in computational/structural biology. Applicants focusing solely on "Thesis Writing" or similar services will not be considered. 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-u...

Episode Prep & Outlines: Create 2–3 structured show briefs per week (15–30 minute episode depth). Deep-Dive Data & Stats: Research player stats, injury updates, film breakdown notes, recruitment updates, and opponent previews. Talking Points & Prompts: Draft clear talking points rather than word-for-word scripts—organizing information into hooks, core topics, statistical support, and host opinion prompts. - [ ] News Tracking: Monitor SEC news, press conferences, transfer portal developments, and game-day takeaways to pitch timely angles within 12–24 hours of breaking news. Deep familiarity with LSU Tigers athletics, SEC football storylines, roster movement, and recruiting. - [ ] Fast turnaround time (able to deliver a brief within 24 hours of game c...

I have completed an initial data-extraction run for a meta-analysis that covers 20 published studies and 14 predefined questions per study. Before I proceed to analysis, I want a medically trained eye to double-check every field. The task is purely verification and double re extraction if required. full articles are available . Scope • Quantitative material sits in structured database entries (one record per study, 20 variables per record). • Qualitative answers are stored in accompanying text documents. • Both sets must be cross-checked against the original articles to confirm accuracy, completeness, and consistency. What you’ll do 1. Open the database, review each numeric and coded field against its source, and flag or correct any mismatch. 2. Read the l...

I am looking for an experienced Python and Machine Learning developer to build an AI-based bias correction model for WRF 2-meter temperature (T2m) forecasts. Historical data will include WRF forecasts and observed temperatures from weather stations . The goal is to train a model to predict forecast bias and produce corrected temperature forecasts.

I’m putting together a short series of whiteboard-style video tutorials that teach addition and subtraction to elementary students aged 9-11. The goal is to break each concept into clear, engaging steps, use simple line drawings that animate onto the screen as I speak, and insert quick “pause and solve” moments so learners stay involved. Here’s what I need from you: • 3–5 concise whiteboard/explain-type videos (around 3-5 minutes each) that cover basic facts, regrouping, and multi-digit problems. • Scripting and storyboarding that keep the language age-appropriate while still challenging the learners. • Clean voice-over (native-level English), synchronized to the drawings and handwriting-style text. • Production in 1080p MP4, re...

I am ready to commission a full-length, original research manuscript in artificial intelligence / machine learning that is suitable for submission to a Scopus-indexed, SCI-listed journal. At this stage I have no fixed problem statement, so I will rely on you to help shape a strong, publishable research question, design the methodology, run the experiments, and craft the paper end-to-end. Note : Apply only if you have a good publication record. Key deliverables • 2-3 complete manuscript (abstract through references) ready for journal submission • All code, datasets or preprocessing scripts required to reproduce the results • A concise response letter template explaining originality, significance and potential reviewer concerns Acceptance criteria will be clarity ...

Each week I receive updated Excel spreadsheets showing projected investment performance metrics. I need those figures transferred, by hand, into our internal tracking system with absolute accuracy and a quick turnaround. You will open the latest spreadsheet, locate the specified performance fields, and manually key them into the corresponding sections of our online dashboard. A brief double-check against the source file is expected so totals and percentages match before you close out the session. Deliverables each week: • All provided metrics accurately entered in the system • A confirmation note highlighting any anomalies you spotted If you are comfortable working steadily with Excel data and can commit to the same day each week, I’d love to rely on you for this ong...

I want to guide a small group of absolute beginners all the way to the point where they can land an entry-level role in AI, machine learning and generative AI. To get there, I’ll need a mentor who can design and deliver a complete learning journey—covering core theory just enough to ground them, then pivoting quickly into hands-on coding, model training and project work that showcases real-world skills. Here’s what I’m expecting from you: • A clear, modular curriculum that progresses from Python basics through classic machine-learning workflows and on to modern generative models (GPT-style LLMs, diffusion, etc.). • Live or recorded sessions with practical demos, Jupyter notebooks and datasets my trainees can keep experimenting with after class. •...

I have a sizeable set of sales transactions exported directly from my e-commerce platform and I need a clear, insight-driven analysis that helps me understand the market forces reflected in those numbers. Your task is to dive into this raw sales data, clean and structure it, then surface trends that answer key market research questions: What products or categories are gaining momentum, which customer segments are buying when and why, and how do seasonal or promotional events shift demand? I would like the final work delivered as: • A cleaned, well-documented dataset (CSV or database table) that I can reuse. • A concise written report highlighting the main findings, supported by visuals. • Interactive dashboards (Tableau, Power BI, or similar) so I can explore the trends...

I need help turning a sizable collection of unstructured finance-related text and document feeds into an accurate, production-ready predictive model. My goal is to spot patterns that reliably forecast the target variables I will share once we start (think risk scores and market-driven KPIs). The raw inputs arrive as news articles, earnings transcripts, and PDF reports, so the first step is a solid NLP-centric pipeline that cleans, tokenises, and extracts meaningful features. I work in a regulated environment, which means the code must be reproducible, well-commented, and easy to audit. Python with libraries such as spaCy, Hugging Face Transformers, pandas, and scikit-learn—or an equivalent stack—makes the most sense to me, but I’m open to a better suggestion as long as i...

The statistical groundwork is finished: 106,000+ football matches and more than 48 million individual odds movements are already structured, cleaned, and sitting in Python-ready data stores. What I need now is a fresh layer of intelligence that can group the patterns and pick up on the regime shifts as they occur —specifically, to surface the hidden structures that govern betting-market behaviour. This regime detection will challenge you immmensely but also matering it can provide enormous opportunity - are brave enough and smart enough to challenge the status quo?We have all the ground work laid and there is no statistical obvious deviation that favors the bet placer ONLY the BOOKIE over 106K of matches - and recent one months anlaysis - there is no ground work to be done only for y...

I need a dependable math pro to guide me through an entire college-level online class. All lectures, homework, quizzes and exams sit inside the course portal, and I want every deadline met with accurate, well-presented solutions. The platform is similar to Canvas/MyMathLab, so you should be comfortable navigating those systems, showing your work clearly and uploading in the required formats (PDF, Word or directly in the portal). Key deliverables • Weekly homework sets submitted on time • Timely completion of quizzes and mid-term • Detailed step-by-step solutions so I can follow the logic • Final exam finished within the window provided by the instructor Acceptance criteria • At least 90 % score on each graded item • Work must be original and pass any...

Evaluate and approve. DGA guidelines

I need help translating Excel data sheets into descriptive statistics for publication. Requirements: - Perform descriptive statistics analysis - Present results in a written summary Ideal skills and experience: - Proficiency in Excel and statistical analysis - Experience with academic or professional publication standards - Strong writing skills for clear, concise summaries Please showcase relevant experience in your application.

I have a steady stream of statistics papers that must be drafted in flawless Harvard style. Each assignment will require independent research, clear argumentation, proper in-text citations, and a clean reference list. I run every submission through Turnitin, so original work—produced without AI assistance—is non-negotiable. If you have demonstrable experience delivering scholarly content, tell me about it when you reply. A short note outlining previous academic writing engagements is enough; I will follow up with full project briefs, timelines, and pay details for the first task. Acceptance criteria for every paper: • Harvard referencing followed consistently • Evidence of sound statistical understanding and correct methodology explanations • Zero AI or c...

*السيرة الذاتية المعدلة: *مطور مستقل متخصص في التعلم الذاتي المدعوم بالذكاء الاصطناعي* **نبذة عني:** شخص منضبط ومتحمس للتطوير الذاتي والمهني، أمتلك شغفاً مستمراً بالتعلم الذاتي واكتساب المعرفة من المصادر المتخصصة. أعتمد منهجية شخصية تجمع بين القراءة التحليلية وإدارة المعرفة باستخدام أدوات الذكاء الاصطناعي، مما يمكنني من تحويل المحتوى إلى مناهج تعليمية منظمة وخرائط مفاهيمية. **المهارات الرئيسية:** - التعلم الذاتي وإدارة المعرفة بالذكاء الاصطناعي - أساسيات البرمجة (Python) - التصوير الفوتوغرافي - صناعة المحتوى التعليمي - تعليم اللغة الإنجليزية - الانضباط الذاتي والتخطيط اليومي **الاهتمامات:** - تطوير الذات وعلم النفس - التكنولوجيا والذكاء الاصطناعي - اللياقة البدنية (Calisthenics)

I’m an adult learner determined to sharpen my ability to add, subtract, multiply, and divide entirely in my head. I’d like a tutor who can break down proven mental-math shortcuts, demonstrate them live, and then guide me through timed drills and real-world examples so that speed and accuracy both rise steadily. Our sessions can be online and bite-sized—think 30-45 minutes each—so I can practise between meetings. I’m happy to share short recordings of my practice or complete worksheet sets if that helps you track progress and adjust the strategy. What I need from you • A clear learning roadmap focused on quick calculations • Engaging explanations of tricks like the Trachtenberg system, Vedic techniques, or any method you trust • Practical...

I am building a panel dataset of 450 non-financial European companies covering the fiscal years 2019 through 2025. The universe should be drawn exclusively from Refinitiv Eikon or Bloomberg terminals and limited to three sectors: Technology, Healthcare, and Consumer Goods. The core of the job is to pull three financial performance indicators for every firm–Revenue, Net Income, and EBITDA–together with essential identifiers (company name, ISIN, ticker, country, and sector classification). Because the focus is strictly “non-financial,” please exclude banks, insurance companies, and other financial services entities. Preferred format is a clean, well-labeled Excel or CSV file that I can import straight into Stata/R. Please include column headers, year stamps, and y...

I have a steady stream of statistics papers that must be drafted in flawless Harvard style. Each assignment will require independent research, clear argumentation, proper in-text citations, and a clean reference list. I run every submission through Turnitin, so original work—produced without AI assistance—is non-negotiable. If you have demonstrable experience delivering scholarly content, tell me about it when you reply. A short note outlining previous academic writing engagements is enough; I will follow up with full project briefs, timelines, and pay details for the first task. Acceptance criteria for every paper: • Harvard referencing followed consistently • Evidence of sound statistical understanding and correct methodology explanations • Zero AI or c...

I’m committing the next eight weeks to sharpening my SQL and Excel skills and I’d like you to steer the process. I already work comfortably at an intermediate level, but I’m still spending far too long turning raw data into clear, compelling visuals. My goal is to leave this programme able to move from question to insight quickly—writing tidy, well-structured SQL queries and translating the results into polished dashboards and charts inside Excel (and, where it makes sense, Power BI). Here’s how I picture our collaboration: • A structured learning path that steadily raises the bar each week, mixing short theory explanations with hands-on exercises drawn from real business scenarios. • Screen-sharing or paired-coding sessions where you watch me wo...

Je réalise une recherche académique en sciences et j’ai besoin d’un·e expert·e pour la partie analyse de données. Les mesures brutes sont déjà collectées ; il me faut maintenant transformer ces chiffres en résultats exploitables pour mon mémoire. Tâches à accomplir • Nettoyer et organiser le jeu de données (CSV). • Appliquer les tests statistiques adéquats (par ex. ANOVA, régressions) et justifier chaque choix. • Générer des visualisations lisibles (Python / Pandas / Matplotlib ou R / ggplot, Excel accepté si vous fournissez la macro). • Rédiger un rapport synthétique (2-3 pages) récapitulant la mé...

I’m looking for a data-savvy partner who can jump in a few hours each week to keep our datasets tidy and turn them into clear, actionable visuals in Power BI. The work is squarely focused on visualization and cleaning rather than heavy statistical modeling. Here’s what I need you to handle regularly: • Remove duplicate records across several CSV and SQL sources • Identify and fill (or flag) missing values in a way that keeps our reporting reliable • Spot and correct inconsistencies in field naming, formats, and codes • Build or update interactive Power BI dashboards so stakeholders can explore trends without digging into raw tables Typical deliverables • A cleaned dataset (or SQL view) ready for downstream use • A PBIX file with refre...

I'm seeking an experienced biostatistician to assist with descriptive statistics for my mini master's thesis in maxillofacial surgery. Key requirements: - Expertise in R for statistical analysis - Experience with surgical outcomes data - Ability to deliver clear, comprehensible statistical reports

I need a BI and Data Specialist experienced with Looker Studio to support our ecommerce marketplace in KSA. Key Responsibilities: - Tech Analysis - Evaluate traffic sources, conversion rates, and bounce rates. - Analyze platform performance for actionable insights. - Customer Behavior Insights - Delve into purchase patterns, website navigation paths, and customer retention metrics. Skills Required: - Proficiency in Looker Studio - Strong analytical skills - Experience in ecommerce data analysis - Ability to translate data into strategic recommendations Ideal Experience: - Background in BI for ecommerce specialising in looker studio - Familiarity with the KSA market - REMOTE WORKING ASSIGNMENT - Strong communication skills for reporting insights Look...

I need someone to write my statistics notes by hand. The notes should cover a mix of statistics and literature topics. Requirements: - Handwritten notes - Casual and readable style - Topics include a mix of stats and literature

I need a clean, executive-ready Power BI dashboard that tracks our overall business performance straight from a set of Excel workbooks I’ll provide. The files contain weekly figures for sales, costs, and a few operational numbers; they remain in the same structure every week, so the model has to refresh effortlessly whenever I drop in new data. What I’m looking for is a single, interactive view with high-level KPIs up top—trend lines, variance indicators, and colour-coded status—plus the ability to drill through to underlying details. Slicers for date range and department, thoughtfully placed tooltips, and consistent company branding are must-haves. Good DAX practices, tidy Power Query steps, and fast load times matter just as much as the visuals. Deliverables &...

I’m sharing a rich, multi-sensor environmental dataset and I want to see just how much actionable knowledge you can squeeze out of it. Your mission is to surface at least 35 meaningful KPIs and supporting metrics, lay every calculation bare, explain why each one matters to real-world decision-making, and wrap it all into both an interactive Excel dashboard and an accompanying analytical report. The dataset blends multiple environmental streams, so correlations, anomalies, quality indicators, and uncovering hidden patterns are all on the table. I will reward depth of thought far more than flash: half of the score is tied directly to the strength, originality, and relevance of the KPIs you define. Methodology and transparent maths account for another 20 %, clarity of presentation 20 %...