Estatísticas Jobs

Saya membutuhkan seorang ahli machine learning untuk membangun model prediksi yang memetakan tren bisnis berdasarkan data pasar industri. Fokusnya adalah analisis tren bisnis, bukan evaluasi keuangan atau peramalan permintaan semata. Alur kerja yang saya bayangkan: • Mengumpulkan dan membersihkan data pasar industri yang sudah saya sediakan dalam format CSV. • Mengeksplorasi pola historis lalu merancang fitur relevan. • Melatih model prediksi—boleh menggunakan Python dengan scikit-learn, TensorFlow, atau framework serupa—hingga akurasi tercapai secara konsisten di atas baseline. • Mempresentasikan hasil lewat notebook interaktif dan ringkasan temuan agar mudah saya pahami. Silakan sertakan pengalaman Anda menangani proyek serupa, pendekatan eva...

Statistical Data Analysis and Meta-Analysis for a Systematic Review of Incretin-Based Therapies in Biopsy-Confirmed MASH/NASH Project Description I am looking for an experienced biostatistician or systematic review and meta-analysis specialist to assist with the statistical analysis of an ongoing systematic review investigating the safety of incretin-based therapies in adults with biopsy-confirmed metabolic dysfunction-associated steatohepatitis (MASH/NASH). Most of the study selection and data extraction have already been completed. I need professional assistance with data validation, statistical analysis, meta-analysis, interpretation of results, and preparation of publication-ready figures and tables. Research Objectives The review evaluates adverse events associated with incretin-...

I need an evidence-driven PowerPoint that I can present to fellow dental professionals, summarising the current research on orthodontic retainer failure and subsequent relapse. The deck should read like a concise literature review, moving from etiology through risk factors and population statistics, then closing with practical, data-supported preventive measures we can adopt chairside. Content depth • Reference recent peer-reviewed studies (preferably within the last five years) and cite them on each relevant slide. • Separate mandibular and maxillary data where the literature makes that distinction. • Highlight clinically significant statistics in clear infographics or concise data tables. • When discussing preventive protocols, emphasise chairside feasibility...

I’d like a crisp, recruiter-friendly LinkedIn “About” section that distills my CV into a short, formal narrative. The piece should spotlight my 5 + years in FP&A and accounting, placing particular emphasis on my budgeting and forecasting achievements while still signalling solid capability in financial reporting, reconciliations, and real-estate finance. Please weave in my hands-on expertise with Power BI, SQL, and Advanced Excel so those keywords surface naturally for both human readers and algorithmic searches. The tone must stay formal—think concise, confident, and metrics-oriented—without slipping into buzzwords or jargon overload. Deliverable • One LinkedIn summary of roughly 80–120 words that is ready to paste directly into my profil...

I will be sharing my CMA worksheets together with the underlying balance-sheets and detailed sales figures. What I need is a clear, investor-ready profitability analysis that goes beyond simply restating numbers: margins, return ratios, trend comparisons, cost-driver commentary, and any red flags or upside you spot are all essential. Please work with the data in whatever tool you prefer—Excel, Python, Power BI, etc.—but package the finished findings as a well-structured PDF. Include concise narrative explanations, supporting tables or charts, and a short set of recommendations I can act on immediately. Acceptance will be based on: • Logical, transparent calculations that tie back to the balance-sheet and sales inputs I provide. • Insightful narrative—why t...

Saya mencari bantuan untuk Analisis data berupa Descriptive Analysis atas kumpulan Survey Data yang sudah saya miliki. Target utamanya adalah memahami pola umum, tren, dan temuan menarik yang muncul dari jawaban responden. Ruang lingkup pekerjaan: • Membersihkan dan menyiapkan dataset agar siap dianalisis. • Menghasilkan tabel ringkasan (mean, median, modus, frekuensi, persentase, dll.). • Membuat visualisasi sederhana—bar chart, pie chart, atau histogram—yang langsung membantu mem-presentasikan hasil. • Menulis laporan singkat yang menjelaskan insight utama dan rekomendasi berbasis temuan. Preferensi alat fleksibel; Anda bisa menggunakan Excel, SPSS, atau Python (Pandas, Matplotlib, Seaborn). Selama output akurat dan mudah dipahami, saya terbuka. ...

I have a clean academic dataset ready inside SAS On Demand and I need a concise descriptive analysis that clearly summarizes student performance. Think of the classic first-pass exploration: frequencies, means, standard deviations, cross-tabs, basic visualisations—nothing predictive or prescriptive for now, just a solid descriptive profile that an academic audience can read at a glance. You will receive the data library, a short data dictionary, and the specific variables of interest (scores, attendance, demographic fields). From there, I expect: • A well-commented SAS program (.sas) that reproduces every table and figure. • An executive-style report (Word, PDF, or HTML generated from PROC REPORT/ODS) highlighting key findings, ready to drop into a faculty presentation....

I need a publication-ready research paper in Artificial Intelligence that meets the standards of a peer-reviewed Science & Technology journal. The work must present original findings, supported by a solid literature review, clear methodology, reproducible experiments (or simulations), and a well-argued discussion of results. Scope • Draft a full manuscript: abstract, introduction, related work, methodology, experiments, results, discussion, conclusion, and references. • Use recent (≤5 years) scholarly sources to position the study within current AI advances. • Provide clean datasets or documented synthetic data, the code used for experiments (Python preferred), and any supplementary material needed for replication. • Format the paper to the target journa...

I need a behavioural scientist with a strong psychometrics background to create a concise, research-based assessment that reveals how strongly one individual embodies an entrepreneurial mindset and, most importantly, whether that mindset signals genuine potential for future success. Here is what the engagement should produce: • A bank of well-crafted items (preferably Likert-scale) targeting core entrepreneurial dimensions such as opportunity recognition, calculated risk tolerance, persistence, resourcefulness and adaptive leadership. • A scoring model with clear cut-offs, weighted factors and an interpretation guide that explains what each score range means for real-world entrepreneurial performance. • A brief technical note describing the validation approach you w...

I need an experienced media buyer who can take full control of my Facebook presence right away. The immediate priority is to plan, create, and launch high-performing video ads, then keep a close eye on performance so we can scale fast. Here is what I expect: • Craft several short, scroll-stopping video ads, editing raw clips if needed. • Build and structure the campaigns inside Facebook Ads Manager, including audiences, budgets, placements, and tracking. • Optimise daily—testing hooks, thumbnails, copy, and CTAs—so we push winning creatives while cutting wasted spend. • Supply concise weekly reports that highlight key metrics (CPM, CTR, CPA, ROAS) and what we’ll try next. Everything has to move quickly; I’m ready to approve assets t...

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 diving into a data-heavy project and I need an experienced Business Analyst to partner with me on the actual analysis while walking me through every step so I learn the process. The core focus is data analysis—everything from cleaning raw datasets and exploring patterns to pulling out actionable insights and packaging them in a way stakeholders can trust. Here’s how I picture our collaboration: • You handle the hands-on work: importing data, cleaning, modelling, visualising and interpreting results (using the tools you’re most comfortable with—Excel, SQL, Python, R, Power BI, Tableau are all fine). • After each stage, you hop on a quick call or screen-share to explain what you did, why you chose that approach, and how to replicate it myself. ...

I will supply a collection of raw numeric figures that must be transcribed into a clean, well-structured Excel workbook. Accuracy in the initial data entry stage is critical; every value needs to match the source exactly and sit in the correct row and column. Once the numbers are in place, I also need basic statistical analysis performed inside the same file. Think means, medians, standard deviations, simple frequency counts or any other descriptive statistics that help me understand trends at a glance. If you prefer the Analysis ToolPak, built-in formulas (AVERAGE, STDEV, COUNTIF, etc.), or a combination of both, that’s fine—just make sure the calculations remain transparent so I can trace any result back to its input. Deliverable: • One .xlsx workbook containing &ems...

My preferred candidate would be a control-engineering researcher or experienced industrial research engineer, ideally with a PhD in control systems, electrical engineering, mechanical engineering, systems engineering or a closely related subject. Equivalent practical experience is acceptable; a PhD alone is not enough. Skill What I would require Control systems and optimisation Practical experience implementing and evaluating model predictive control, including constraints, changing workloads and switching costs. Python and reproducible simulation Ability to inspect numerical code, install a documented environment, rerun experiments and preserve configurations, logs and results. Experimental design and statistics Ability to assess fair comparisons, held-out testing, uncertainty, correlated...

I have several seasons of NRL historical game data stored in multiple spreadsheets and an early-stage predictive model that I built in Excel. I now need that raw information turned into a reliable, well-structured dataset, then pushed further through rigorous statistical analysis and sports-performance modelling—all inside Excel. Here’s what I want to achieve: • A fully cleaned and consistently formatted workbook where every match, team and player field lines up perfectly for formulas, PivotTables or Power Query refreshes. • Advanced statistical exploration of the cleansed data (regressions, significance testing, variance analysis, etc.) to surface the variables that truly drive match outcomes. • Integration and refinement of my existing predictive model ...

Cryptocurrency Trading Strategy Analysis I want to analyse a file containing historical Bitcoin price predictions, collect historical Bitcoin market data, and backtest the trading strategy Tasks: * Collect historical BTC prices, funding rates, open interest and available liquidation data and compare to predictions provided * Build a Python-based backtest to evaluate forecast accuracy, risk and potential profitability. * Provide the analysis, source code and a report explaining the results. Required skills: Python, data analysis, cryptocurrency market data and quantitative trading strategy backtesting. Please describe your relevant experience, proposed approach, estimated cost and timeline.

This engagement centres on a clear goal: enhancing our customer experience by leveraging sentiment analysis across both structured and unstructured data. I need a succinct, expert-level assessment that tells me whether the idea, data, and technical pathway are sound before full development begins. Scope • Examine the data landscape. Our customer records live in databases and spreadsheets, while social posts, emails, and support transcripts come in free-text and image form. Detail what must be cleaned, labelled, or augmented so sentiment signals are reliable. • Recommend the modelling approach. Contrast rule-based, classical ML, and modern transformer techniques, then justify the best fit for accuracy, latency, and cost at our scale. • Outline an implementation roadmap...

I’m looking for an energetic intern who can step straight into the day-to-day running of our operation and keep stock, data, and orders flowing smoothly from the warehouse floor to the customer’s door. You’ll be based entirely on-site, working side-by-side with me and the rest of the team, so expect plenty of hands-on exposure to real supply-chain challenges rather than remote spreadsheets only. Your main focus will be inventory management and the wider rhythm of daily operations. Throughout the day you will: • track incoming and outgoing stock, update counts in Excel in real time, and flag discrepancies before they become shortages • prepare pick-lists, oversee packaging and order fulfilment, and attach the right paperwork so every parcel leaves first time,...

Audit of ML and econometric models on financial time series (Python, freelance) A quantitative research platform trains 24 model families every night on daily market data, walk-forward, across about 1,000 assets. We are looking for an independent expert to check that these models are implemented correctly and evaluated honestly. The work * ML models: XGBoost, LightGBM, Random Forest, Extra Trees, regularized linear models, SVR, MLP, LSTM, TCN. * Econometric models: GARCH, EGARCH, GJR-GARCH, SARIMAX/ARIMA, VAR, VECM, Kalman. * What to check: does each model do what its configuration says? Are the hyperparameter search spaces (Optuna) suitable for financial targets, and is the search free of look-ahead? * Model collapse: find where a fit degenerates into a constant predictor (the mean, stump...

I want to turn our sales figures into a clear, interactive story in Power BI. Right now there is no central data source, so the first step will be helping me collect and structure the raw sales data—whether that means pulling CSV exports from our ecommerce platform, connecting to our CRM API, or setting up a small database that we can refresh automatically. Once the data is in place, you’ll handle the cleaning, transformation and modelling in Power Query and DAX, then design an engaging report that lets managers spot trends, compare product lines and track performance over time. I’m open to whichever mix of bar, line, pie or other visuals best conveys the insights, and I value your creative recommendations here. Deliverables I need from you: • A refreshable d...

Hi! I’m looking for a knowledgeable tutor to help me over the coming weeks with some advanced quantitative and data-driven topics. What we will be working on: - Statistics & Regression: Hypothesis testing (one/two-sample), non-parametric tests, linear & logistic regression, and generalized linear models (GLMs). - Python Optimization: Formulating optimization models (Linear & Integer Programming) and solving them in Python using the PuLP library. - Simulation Methods: Monte Carlo simulation and basic discrete-event simulation concepts. What I'm looking for: - Online 1-on-1 support to go through problem sets, study materials, and practice exercises. - Help understanding complex math/statistical concepts step-by-step. skills: Statistics Python Mathematics Statis...

Quant Developer for a Crypto Trading Bot: Strategy Research and Development (Python, React/Node) About the project A working crypto trading bot with a web dashboard. It paper-trades 12 coins on exchange data (15m to 1D candles) and can trade real funds on Base through Uniswap, with every trade confirmed in MetaMask. It already has: 12 strategies (RSI, Bollinger, Supertrend, trend filter, momentum, whale-flow copy trading and more) backtesting with fees and slippage an optimizer that tunes on older data and tests on newer data it never saw Auto-pick, which chooses the strategy that held up on that unseen data What you'll do Research, build and test new trading strategies, and improve the existing ones. Prove each strategy holds up on data it wasn't tuned on (walk-forward testin...

I'm looking for an experienced researcher to conduct a systematic review focused on cardiovascular studies. The review should include both randomized controlled trials and observational studies, with a specific focus on mortality rates as the primary outcome measure. A meta-analysis component is also required. Key Requirements: - Comprehensive literature search and data extraction - Critical appraisal of included studies - Statistical analysis for meta-analysis - Detailed report writing Ideal Skills and Experience: - Expertise in systematic reviews and meta-analysis - Strong background in cardiovascular research - Proficiency in statistical software (e.g., RevMan, STATA) - Excellent writing skills for academic publications Please provide samples of previous work and relevant qualif...

I have a sizeable set of customer data and I want to turn it into clear, actionable insight that will directly improve our customers’ experience when they contact support. Your task is to take this raw information, clean it, explore it and surface the patterns that show where our service interactions delight—or frustrate—people. I am interested solely in customer-related records; sales figures and survey metrics outside that scope are not part of this engagement. The end goal is a concise narrative that tells us how to raise satisfaction levels, cut response times and pinpoint any pain-points hidden in the current workflow. To keep things focused, I will need: • A brief outline of the preprocessing steps so the work is reproducible • Visualisations or dashbo...

I’m preparing a predictive analytics initiative for a finance-focused dataset stored in traditional relational tables and well-formatted spreadsheets. The core objective is to turn this structured historical information into forward-looking insights—think probability scores for default, churn, or other key risk and revenue indicators. You will take ownership of the full machine-learning pipeline: data ingestion from CSV/SQL sources, exploratory analysis, feature engineering, model selection and training, validation, and a concise performance report. I expect reproducible Python code (preferably using pandas, scikit-learn, XGBoost or similar), clear comments, and a short write-up that explains both the methodology and how to refresh the model with new data. Deliverables: &bull...

I’m falling behind in my Structural 3 course and need a reliable expert to take charge of both the weekly homework sets and the two upcoming online exams. The homework always revolves around stress analysis, structural dynamics, and the finite element method. I will forward each problem set as soon as it’s released; you work through every step, show all derivations and calculations, and return a clean, easy-to-read handwritten scan (PDF). For the exams, I’ll notify you of the exact time window in advance. Once I send the questions, you’ll solve them in real time and send back a scanned PDF of your handwritten work before the clock runs out. Accuracy, clear notation, and consistency with course conventions are critical, but you’re free to use tools such as M...

I need an analysis comparing youth sports participation and delinquency using Add Health data. The focus should be on understanding how engaging in sports might correlate with or impact delinquent behaviors. Key Requirements: - Analyze correlation between sports participation and delinquent behaviors such as substance use, violent behavior, or property crimes. - Use appropriate statistical methods (e.g., regression analysis, correlation analysis, ANOVA). - Focus on specified youth age groups (pre-teens, teens, young adults). Ideal Skills and Experience: - Strong background in statistics and data analysis. - Experience with Add Health dataset or similar. - Proficiency in statistical software (e.g., R, SPSS, Stata). - Ability to interpret and present findings clearly.

I need an experienced freelancer to run our new Instagram account with the primary goal of increasing followers, engagement, and promoting the product. We’re a performance supplement brand for women over 40 who take their training seriously: runners, lifters, CrossFitters, and triathletes. Perimenopause is quietly undoing their recovery, and we help them get it back. If you train yourself, you’ll get our audience straight away. What you’ll do: - Plan and post 3–4 pieces a week: Reels, carousels, and Stories - Write hooks and captions - Spot trends and formats that fit the brand, and skip the ones that don’t - Reply to comments and DMs during US hours, and build a real community of engaged followers - Send a short monthly report on what’s working and wh...

I'm seeking an expert to analyze over-the-counter (OTC) stock options for profit forecasting. The analysis should focus on the following key metrics: - Volatility - Strike price - Expiration date Ideal skills and experience: - Strong background in options trading, particularly OTC options - Proficient in financial modeling and profit forecasting - Experience analyzing market volatility and its impact on options - Ability to provide clear, actionable insights based on data analysis Please include any relevant work experience in your bids.

I’m preparing a new project that calls for a seasoned eye on my raw data. The exact format of the files may range from neatly structured spreadsheets to more free-form text exports, so I’ll need someone comfortable pulling insights no matter how the information arrives.

Daily transport in my own luxury car—plus the occasional pick-up of dry cleaning, parcels, and other household errands—sits at the core of this assignment. The schedule is generally weekday daylight hours, yet flexibility for an early morning or late-afternoon run will help everything flow smoothly. Safe, smooth driving is essential. A spotless record, familiarity with city traffic patterns, and a calm, discreet manner around family and guests all matter just as much as punctuality. Because errand stops are part of the routine, efficiency in planning short routes and parking is highly valued. Key expectations • Drive the designated luxury vehicle with care and keep it immaculate inside and out • Handle requested errands quickly and return receipts or parcels the...