A skilled statistician and biostatistician proficient in statistical data analysis and biostatistics. Demonstrated expertise through projects including NHANES data analysis on arthritis and sleep duration, health survey reporting in healthcare settings , and biometric data assessments for sleep studies. Leverages R, SPSS, SAS, Stata, and Python for complex data analysis, regression modeling, and data visualization, delivering impactful insights that drive clinical and research outcomes. My Services: • Publication-ready statistical analysis and APA-formatted tables. • Dissertation Support (Chapters 3 & 4) • Statistical methodology guidance and consultation • Data analysis, cleaning, missing value handling, and survey validation • Clinical trial analysis and public health database interpretation. • Regression (Linear/ Logistic/Multinomial), SEM/CFA. • Survival Analysis, Mixed Effects, Power Analysis, Longitudinal Analysis • I can perform data mining from public database such as NHANES, CDC WONDER, DHS or IPUMS data. • I use industry-standard software to ensure reproducibility and accuracy: • Software: IBM SPSS, Stata, SAS, Python, Excel, R (RStudio, R Markdown) • I deliverables clean datasets, interpreted results, and professional visualizations. Why Client Choose Me!: • Transparency: Clear analysis plans and cost estimates before work begins. • Quality: 4.8/5 average rating with 250+ completed projects. • Support: Ongoing communication to ensure your research goals are met. I help researchers, PhD / DNP candidates, and public health professionals turn complex data into publication-ready results. With 9 years of experience and 250+ successful Upwork projects (100% Job Success Score), I solve statistical challenges with accuracy, clarity, and speed. Client Feedback: • "Daniel's statistical analysis was perfect for my research journal submission. Highly recommend." • "Exceptionally talented and committed. We trust him completely for our data analysis needs." • "Fixed my survey data issues in hours. Will hire again." Next Steps: Send me your dataset or a short description of your project. I will review it and provide a clear analysis plan along with a transparent cost estimate. I look forward to supporting your research. Thank you, Daniel. Thank you, Daniel

Do you need accurate, actionable insights from your survey, research, or business data to make informed decisions through powerful statistical and data science analysis? Look no further! I am a top-rated and full-time research data analyst with >8 years of experience in IBM SPSS, R, Python, SAS, STATA, NVIVO, JMP, JASP, Atlas.ti, Excel/Google Sheets. As a statistics wiz, survey expert, and data science practitioner, my areas of expertise include: ⭐️ Questionnaire/survey design & validation ⭐️ Survey & research data analysis: descriptive, inferential (Chi-Square, regression, correlation, t-test, ANOVA, etc.), predictive modeling ⭐️ Detailed interpretation & storytelling of results ⭐️ Report writing, academic formatting (APA, Harvard), and publication-ready outputs ⭐️ Advanced automation & scripting for reproducible workflows I provide a variety of services including but not limited to: ★ Sample size calculations ★ Correlation, regression, & multivariate analysis ★ Hypothesis testing & statistical modeling ★ Factor analysis (EFA/CFA), structural equation modeling ★ Predictive analytics & data visualization ▶︎ and much more My specializations: Health Research & Predictive Analysis Master's/Ph.D. Thesis & Dissertation Modeling Company Survey & Performance Analytics Social, Economic & Behavioral Data Science Projects What clients say 👉👉👉 ☆☆☆☆☆ "She is always of great help, and the turnaround time is on point. I can depend on her for assistance and explaining the work thoroughly." "Great work. Amazing communication and delivered the project on time." "Esther's results were clear, organized, and thoroughly explained. Excellent work! I'm so impressed! I appreciate her efforts and insight to the analysis of the project!" ☆☆☆☆ ✍️ Feel free to get in touch, and we can discuss your project further

With 15+ years as a Data Engineer and M.S. in Math, my experience includes the development of ETL/Data Warehouse and Analytics dashboards for eCommerce, Marketing, and Banking. 𝙎𝙪𝙘𝙘𝙚𝙨𝙨 𝙎𝙩𝙤𝙧𝙞𝙚𝙨 1. Payments forecast with MAPE < 2%: Banks need to know their monthly cash inflow to plan new credits and attract investments. I have compiled historical payments from existing clients, organized by calendar month, loan date, and credit product. Used this info to iteratively forecast new payments from new credits. 2. Data Quality from 24% to 99%: fixed core table with account balances in a banking DWH. Analytics accounts in accounting equal the sum of the basic accounts. I made a list of clients with analytics and basic accounts that mismatch. Picked one basic account with the most zero balances across all clients. Statistically, it had the most chances of being wrong. Discussed it with the Admin of the source system, and after several find-and-fix iterations, he confessed there is a filter that does not export all the data into the DWH, enforced by security guys. 3. Credit scoring models development, reducing scoring costs by half: A Fintech company was looking for software to build an internal credit score. They were considering SAS, SPSS, and other software. I proposed to them to build a scoring model using the free R-project, and I was hired immediately. Have joined applications and credit histories data and built scoring models using logistic regression. After the AB test with underwriters, the model proved its efficiency and was deployed in production. We stopped paying for credit scores from 3d party provider reducing scoring costs by 2 times. 4. I was optimizing the legal collection process for a bank. The overall collection process starts with contacting the debtor and discussing the payment plan. If the debtor is unavailable or refuses to pay, the legal collection process starts. Lawyers fill in applications for the Magistrates’ court, paying some court fees. The court may decline the application if it reaches the court too late due to the statute of limitations or take the debtor’s side. Even a won case does not guarantee the debtor will pay. He might decide to file for bankruptcy. Given the high number of debts and fees involved in the court applications, legal collection is a costly process. Multiple outcomes make this process manually unpredictable. I was tasked with building a collection scoring model to filter those debts that are worth taking legal actions. I have pulled information on 100K debts that went through the legal collection process past 3 years. My target variable was the sum of payments after legal actions minus legal fees. I have tried many predictor variables, and the most informative were: • debt amount - the higher the debt, the higher the payment amount is expected • days past due - the higher the DPD, the higher the chances of hitting the statute of limitations • debotr’s region - courts' practices vary across the country, with some courts taking debtors’ side more often Once the model has been built, we applied it to the current debts in the legal process and found out that only 30% of debts are worth taking to court. The rest 70% could be sold to collection agencies. The legal collection scoring model helped to understand: • the factors that drive collection profits • automate manual decisions • increase collection profits • clear debts balances, selling them to professional collection agencies 𝙏𝙤𝙤𝙡𝙗𝙤𝙭 • ETL/Data Warehouse: SQL, dbt, Python, Redshift, BigQuery, SAS • Data sources: Shopify, GA4, Google Ads, Meta Ads • Analytics dashboards: Looker Studio, Looker, Power BI, Excel, Google Sheets • Finance math: ROAS, Gross margin, LTV, Cash Recovery • Data Science and ML: Credit Scoring and payments forecasting • Cloud tech: AWS, GCP, Docker • Technical writing: Business Proposal, Product Description, User's Guide, Installation Guide • Project management: Agile / Scrum Let's connect to discuss the details.

I am Dr. Raymond Musyoka, a PhD-trained Biostatistician with over 20 years of experience in statistical analysis, epidemiology, and data science, supporting research across academia, public health institutions, and international organizations. My career began with hands-on experience in data management, survey implementation, and statistical support, where I was involved in designing data collection tools, developing databases, supervising data entry processes, and ensuring data quality through rigorous validation procedures. Over time, I progressed into advanced analytical roles, leading complex statistical modeling, research design, and high-impact data-driven decision-making projects. I hold a PhD in Biostatistics (University of KwaZulu-Natal, South Africa), a Master’s degree in Biostatistics, and a Bachelor of Science in Mathematics (First Class Honors). What I Do I provide expert consultation on a wide range of statistical and data science needs, including: Statistical Analysis & Modeling Regression analysis (linear, logistic, multivariate) Survival analysis (Cox models, Kaplan–Meier) Generalized Linear Models (GLM) & GAM Time series and predictive modeling Survey-weighted analysis (DHS, AIS, complex designs) Data Management & Systems Database design and development Data cleaning, validation, and quality assurance Development of coding manuals and QA workflows Oversight of data entry systems using SAS and other tools Research Design & Support Study design and methodology development Development and testing of data collection tools Experimental and survey design Statistical reporting and interpretation Publication-ready outputs Software & Tools R, SAS, Stata, SPSS, Python Power BI, Excel AI-assisted statistical analysis How I Add Value Translate complex data into clear, actionable insights Apply appropriate and rigorous statistical methods Ensure high-quality, reproducible analysis Support end-to-end research workflows Provide clear communication for non-technical stakeholders Professional Experience Highlights Supported Ministries of Health and international research institutions Contributed to national HIV/AIDS program evaluations Worked with large-scale survey data (DHS, AIS) Delivered training and capacity building in data analysis Currently contributing as an AI Training Expert in Statistics Why Work With Me I bring a unique combination of: ✔ Strong academic background (PhD level) ✔ Real-world public health experience ✔ Advanced statistical and data science skills ✔ Commitment to delivering high-quality, timely work Availability I am available for: Statistical consulting Data analysis projects Research collaboration Training and mentorship I am passionate about helping researchers and organizations achieve their objectives through data-driven solutions and would be glad to support your project.

I’m a dedicated Data Analyst and Visualization Expert with a passion for transforming raw data into actionable insights. Specializing in Excel, Power BI, and SQL, I deliver compelling, data-driven solutions for businesses and organizations. My mission is to provide clear, impactful results that empower strategic decisions. I thrive on solving complex data challenges, uncovering trends, and presenting findings through stunning visualizations. When I’m not analyzing data, I’m exploring new BI tools ☕📊. What I Offer Data Analysis & Modeling: Leveraging Excel and SQL for in-depth analysis, trend identification, and predictive insights. Data Visualization: Creating interactive, user-friendly dashboards and reports in Power BI to drive decision-making. Database Management: Designing and querying databases with SQL for efficient data retrieval and accuracy. Reporting & Insights: Transforming complex datasets into concise, visually engaging reports tailored for stakeholders. Industries Served: Healthcare, finance, retail, and education. Why Choose Me? With a proven track record in end-to-end data analysis, I combine technical expertise in Excel, Power BI, and SQL with a client-focused approach. My skills in data visualization and analytics deliver reliable, high-quality outcomes. Whether you need a dynamic dashboard, detailed report, or data-driven strategy, I ensure precision, clarity, and impact. I pride myself on strong communication, attention to detail, and exceeding client expectations. 🚀 As a full-time freelance Data Analyst, I’m ready to tackle your data visualization, reporting, or analytics project. Message me today to discuss your needs, and let’s create impactful insights together! 💼📈

Richard Xue: A Senior Leader in Global Clinical Development Richard Xue is a highly accomplished clinical development executive with over 18 years of extensive experience spanning global pharmaceutical corporations and local biotech companies. He has a distinguished reputation for his strategic leadership, profound therapeutic expertise, and a proven track record of successfully guiding novel therapeutics and medical devices from early-stage development through to regulatory approval. Mr. Xue's career is characterized by his ability to build, lead, and manage high-performing, multidisciplinary clinical development organizations. He has held senior leadership positions with overarching responsibility for clinical operations, biometrics, medical affairs, and regulatory functions. His leadership has been instrumental in establishing and leading Regional Clinical Development organizations in the Asia-Pacific region, driving strategy and execution across diverse markets. He possesses deep, hands-on experience across a broad spectrum of therapeutic areas, including Oncology (e.g., NSCLC, cHL, Melanoma, various solid tumors), Ophthalmology, Infectious Diseases, Neuro-degenerative Diseases (e.g., ALS, Alzheimer's), Autoimmune/Immune Diseases, and Diabetes. This expertise encompasses the clinical development of biologics, small molecules, biosimilars, and medical devices. Mr. Xue's late-stage development and New Drug Application (NDA) approval experience is substantial. He has played a key role in the approval of numerous products, including the biologics Zimberelimab, the small molecules Tunlametinib and Lefamulin, various ophthalmic solutions (Dutrav, Vigamox, etc.), the biosimilar Basaglar, and medical devices like the Centurion Silver vision system and Panoptix intra-ocular lens. His early-stage development prowess is equally impressive, having successfully initiated and completed multiple First-in-Human (FIH) studies for innovative small-molecule compounds and possessing extensive Phase II and Investigator-Initiated Trial (IIT) experience. He is adept at crafting clinical strategies and developing protocols for a wide array of complex indications. Throughout his career, Mr. Xue has consistently demonstrated his ability to deliver results in demanding roles: As VP and China Head of Clinical Operation, Biometrics and Regulatory at Sironax, he successfully initiated and completed 5 FIH studies, conducted global Phase IIa studies, obtained 4 IND approvals, and built a comprehensive clinical quality system and a dynamic team from the ground up. At Kechow Pharma as Global Head of Biostatistics, Data Management & Medical Writing, he established a lean biometrics team and made significant contributions to the pivotal study and NDA approval of Tunlametinib. During his tenure as Head of Clinical Project Strategy, Biostatistics, & Data Management at Gloriabio, he strongly supported the NDA application and approval of Zimberelimab and led multiple clinical development strategies. As VP & Head of Clinical Operations/Biometrics/Portfolio Management at Sinovant Sciences, he founded multiple departments, secured 3 IND approvals within a year, and laid the foundation for the NDA of Lefamulin. In his nearly seven years at Alcon, progressing to Head of Clinical Development, Asia, he led or significantly contributed to the approval of over 10 drug or device products and successfully turned around NDA approvals in India. His foundational roles at Eli Lilly and PAREXEL provided him with deep, hands-on expertise in biostatistics, data management, and regulatory interactions, forming the bedrock of his later leadership success. Richard Xue holds a Doctorate in Health Care Management from Universidad Católica San Antonio, Spain, and dual Master of Science degrees in Biostatistics and Applied Statistics from the University of Hasselt, Belgium. He also completed post-graduate work in Applied Computer Science at Vrije Universiteit Brussels, Belgium. This robust educational background underpins his data-driven and strategic approach to clinical development, making him a respected leader capable of navigating the complexities of the global pharmaceutical and biotech landscape.

Data Scientist & Statistician of experience in R, Python, SPSS,Excel،Power BI and SQL. I specialize in machine learning, predictive modeling, biostatistics, clustering, classification, and data visualization. R Packages: tidyverse, tidymodels, dplyr, ggplot2, caret, randomForest, glmnet, xgboost, nnet, lme4, forecast, data.table, readr, stringr, Shiny, Quarto, R Markdown and much more Python Packages: pandas, numpy, scikit-learn, statsmodels, matplotlib, seaborn, plotly, TensorFlow, Keras, PyTorch, XGBoost, LightGBM, CatBoost. Other Tools: SPSS, SAS, Minitab,Power BI, PASS, Microsoft Excel/Office, SQL, Power BI etc... I deliver clean, reproducible, and decision-ready analytics — from statistical modeling and survey analysis to machine learning pipelines and dashboards.

I hold a BS in Statistics and a Master’s in Statistics, with expertise in Statistical Data Analysis and Modelling, Data Science, Quantitative Research, Machine Learning, Deep Learning, Artificial Intelligence, and Algorithmic Trading. I also specialize in AI Automation and Workflow Automation, using platforms such as n8n, Zapier, Make, Microsoft Power Automate, Pipedream, and AI/LLM integrations to design intelligent, scalable, and efficient business processes. As an experienced Statistician, Data Scientist, AI Developer, Machine Learning Specialist, Python Developer, Quantitative Analyst, Algorithmic Trading Developer, and AI Automation Specialist, I have worked on numerous projects across Statistics, Machine Learning, Deep Learning, AI development, Quantitative Finance, automated trading systems, and intelligent business automation. I specialize in Python, R, SAS, STATA, SPSS, SQL, Excel, Google Data Studio, Looker Studio, and NinjaTrader, with strong capabilities in Data Engineering, including ETL pipelines, data warehousing, API integration, data processing, cloud-based workflows, and scalable data solutions. I also build dynamic dashboards and analytical applications using Tableau, R Shiny, and Power BI. In AI Automation, I build intelligent workflows and business automation systems using n8n, Zapier, Make, Microsoft Power Automate, and Pipedream. I integrate AI models, APIs, databases, CRMs, communication platforms, web services, and other business applications to automate repetitive processes, data collection, lead management, reporting, notifications, document processing, AI-powered assistants, and complex business workflows. I also work with AI/LLM technologies and agentic workflows, integrating AI into existing business processes to improve productivity, decision-making, customer engagement, and operational efficiency. Additionally, I am skilled in academic writing, statistical research, research reporting, data visualization, and producing publication-ready documents. My analytical thinking, problem-solving abilities, programming expertise, and experience in AI, data science, and automation enable me to build sophisticated data-driven applications, intelligent workflows, research solutions, and AI-powered systems across diverse fields. I’d be happy to offer you my services. Feel free to contact me for an interview or to discuss how I can help automate, optimize, and scale your project.

Customer lifetime value (CLV/LTV) modeling is my specialty. Using probability models (BG/NBD, Pareto/NBD, Gamma-Gamma), retention curves, and RFM segmentation, I tell you who your most valuable customers are, what they are worth, and how to acquire more of them. Around that core I bring the full marketing-analytics toolkit - marketing mix modeling (MMM), multi-touch attribution, pricing, and forecasting - in Python and R, for CPG, DTC, media, fintech, and B2B clients. Over 30 years I have directed more than $70M in combined consumer-insights and analytics spend - $20M+ client-side (Bacardi Global Brands) and $50M+ agency-side (GfK, Millward Brown/Kantar) - so I read these models the way a CMO does, not just a data scientist. I translate model output into the decision, the deck, and the board-ready story. What I deliver: - Customer lifetime value (CLV/LTV): BG/NBD and Pareto/NBD + Gamma-Gamma probability models, retention curves, cohort and RFM segmentation; forecast customer value and surface your most valuable acquisition cohorts for DTC and subscription brands. - Marketing mix modeling & media ROI: ARIMAX, Bayesian/hierarchical, and regression models with adstock and saturation; in a recent engagement I identified a channel-reallocation opportunity worth roughly a 185% gain in marketing efficiency. Build from scratch, or finalize, validate, deploy, and maintain existing models (Python or R). - Attribution & measurement: reconciling Meta / Google / GA4 platform reporting against actual business outcomes; blended CAC and single-source-of-truth frameworks. - Pricing & forecasting: conjoint / willingness-to-pay studies and supervised-ML pricing models (random forest, gradient boosting) deployed as interactive calculators. - Data engineering & viz: BigQuery warehousing, dashboards (Power BI, Tableau, Looker Studio), and clear recommendations leadership can act on. Credentials: Wharton MBA (Marketing), Brown B.A. in Applied Mathematics. Top Rated on Upwork with 100% Job Success across 8 engagements. Stack: Python, R, SQL, SAS, Azure, AWS, GCP/BigQuery, Power BI, Tableau, GA4, Looker Studio. Fluent in Spanish, working Portuguese - comfortable on global, multi-market engagements. I keep scope tight, communicate in business terms, and hit deadlines.

Do you need accurate, publication-ready statistical analysis or data-driven insights to support your research, business, financial, healthcare, or industrial projects? You're in the right place. I am Dr. Hussain, a Top Rated Upwork Freelancer (100% Job Success), PhD Statistician, Data Analyst, Financial & Research Analyst, and Certified Peer Reviewer with 10+ years of experience delivering high-quality statistical consulting, business intelligence, financial analytics, machine learning, artificial intelligence, statistical quality control, and multidisciplinary research solutions to clients worldwide. I have successfully supported researchers, universities, healthcare professionals, financial institutions, manufacturing industries, government organizations, NGOs, and businesses across the USA, UK, Canada, Australia, Europe, Asia, and the Middle East by transforming complex datasets into accurate, actionable insights for evidence-based decision-making. As an author of 15+ peer-reviewed publications and a Certified Peer Reviewer for Elsevier, Springer Nature, Taylor & Francis, and PLOS ONE (18+ manuscripts reviewed), I deliver work that meets the highest international standards of analytical rigor, research quality, and publication excellence. Whether you need statistical analysis, financial analysis, predictive modelling, business intelligence, machine learning, AI solutions, statistical process control (SPC), quality control, acceptance sampling, dashboard development, thesis support, journal writing, or publication assistance, I provide accurate, reproducible, and well-documented solutions tailored to your objectives. ⭐ CORE EXPERTISE 📊 Statistics & Data Analytics Descriptive & Inferential Statistics Hypothesis Testing Regression Analysis ANOVA • MANOVA • ANCOVA Generalized Linear & Mixed Models Logistic Regression Bayesian Statistics Survival Analysis Time-Series Analysis & Forecasting Multivariate Statistics Meta-analysis Psychometrics & Reliability Analysis 💼 Financial & Business Analytics Financial Analysis Financial Planning & Analysis (FP&A) Budgeting & Forecasting KPI Reporting & Dashboard Development Business Intelligence Variance Analysis Operational Reporting Business Process Analysis Decision Support Analytics 🤖 Data Science & Artificial Intelligence Python • R • SQL Machine Learning Deep Learning Predictive Analytics Classification & Clustering NLP TensorFlow PyTorch Generative AI LLM Applications Data Visualization 🏭 Statistical Quality Control Statistical Process Control (SPC) Acceptance Sampling Process Capability Analysis Six Sigma Statistics Control Charts Design of Experiments (DOE) Reliability Analysis Industrial Statistics Manufacturing Quality Analytics 🎓 Research & Academic Support Questionnaire & Survey Design Sample Size & Power Analysis Literature Review Systematic Review (PRISMA) Research Methodology Thesis & Dissertation Support Journal Manuscript Preparation Statistical Interpretation Publication Support 💻 SOFTWARE Statistical Analysis: IBM SPSS • STATA • SAS • R • Python • SQL • MATLAB • Minitab • Jamovi • Gretl • EViews Business Intelligence: Power BI • Tableau • Microsoft Excel (Advanced/VBA, Power Query, Pivot Tables) Advanced Statistical Modelling: AMOS • SmartPLS • Mplus AI & Machine Learning: TensorFlow • PyTorch • Scikit-learn • Jupyter Notebook • Google Colab Research & Documentation: NVivo • MAXQDA • LaTeX • Overleaf • EndNote • Zotero • Mendeley • GitHub ✅ SERVICES I OFFER ✔ Statistical Analysis & Modelling ✔ Financial Analysis & Business Intelligence ✔ Statistical Process Control (SPC) ✔ Quality Control & Acceptance Sampling ✔ Machine Learning & Predictive Analytics ✔ Data Cleaning & Visualization ✔ Dashboard Development (Power BI & Excel) ✔ Bayesian Analysis ✔ SEM (AMOS, SmartPLS & Mplus) ✔ Survival Analysis ✔ Time-Series Forecasting ✔ Meta-analysis ✔ Questionnaire & Survey Development ✔ Thesis & Dissertation Assistance ✔ Journal Article Writing & Editing ✔ Literature & Systematic Reviews ✔ Publication & Peer Review Support ⭐ WHY CLIENTS HIRE ME ✔ Top Rated Upwork Freelancer with 100% Job Success ✔ PhD in Statistics ✔ 10+ Years of Professional Experience ✔ International Research Experience (Malaysia & Canada) ✔ 15+ Publications in High-Impact International Journals ✔ Certified Peer Reviewer for Elsevier, Springer Nature, Taylor & Francis & PLOS ONE ✔ Expertise in Statistics, Financial Analytics, AI, Machine Learning, SPC & Quality Control ✔ Advanced proficiency in Python, R, SPSS, SQL, Power BI & Excel ✔ Publication-Quality Deliverables ✔ Clear Communication & Fast Turnaround ✔ Long-Term Client Support Let's Work Together Whether you're conducting academic research, publishing in a high-impact journal, building AI or predictive models, performing financial analysis, improving manufacturing quality through SPC, or making data-driven business decisions, I am committed to delivering accurate, reproducible, and action