Hire the Best SAS Consultants
Lahore, Pakistan
I'm a Top Rated Data Analyst on Upwork with over five years of hands-on experience in econometrics, biostatistics, statistical analysis, and forecasting. I've worked with PhD researchers scrambling before their defense, policy teams who needed econometric data analysis that could survive a room full of critics, and healthcare professionals whose clinical data analysis had to meet journal standards before submission. In every case, the goal was the same: to get the data analysis right, explain it clearly, and make sure it holds up. ⤷ Top-rated Data Analyst on Upwork ⤷ 46+ completed data analysis projects ⤷ 100% Job Success Score ⤷ Certified: Data Visualization with R (IBM) | R for Data Science (IBM) | Google Analytics Here's what I've learned after five years of data analysis work: Most projects don't fail because of bad data. They fail because the wrong question was asked, the wrong model was chosen, or the assumptions were never checked. That's the gap I close. Before I run a single test, I make sure I understand your research question, your dataset, and what your results actually need to prove. What I do for you I handle the full data analysis process — from messy raw data to clean, documented, publication-ready results. Depending on your project, that means: As your Data Analyst for academic and dissertation work, I support Chapter 3 from start to finish — research design, data preparation, model selection, assumption testing, results interpretation, and write-up in language your committee will accept. As your Data Analyst for econometric and policy research, I build models for program evaluation, policy impact, and causal inference — OLS, IV, difference-in-differences, panel data analysis with fixed and random effects, and time series data analysis with ARIMA, VAR, and cointegration testing. As your Data Analyst for biostatistics and healthcare research, I deliver clinical data analysis to publication standard — survival analysis, Cox regression, Kaplan-Meier curves, longitudinal data analysis, and multilevel modeling for health datasets. As your Data Analyst for business and financial projects, I provide data analysis that supports real decisions — predictive modeling, financial forecasting, regression analysis, and business intelligence reporting that goes beyond surface-level dashboards. Every data analysis engagement is delivered with reproducible, well-documented code in R, Stata, Python, or SPSS — so your results can be verified, defended, and built upon. Data Analysis Tools: R | Stata | Python | SPSS | SAS | EViews | Excel Whom I work with I work best with people who take their data analysis seriously. That includes PhD and Master's students whose dissertation data analysis needs to withstand a defense, economists and policy analysts who need econometric data analysis that holds up under scrutiny, healthcare and clinical researchers whose data analysis has to meet peer-review standards, and businesses or financial teams who need data analysis that actually informs decisions. If you're not sure whether your project fits — ask. I'll tell you honestly. What makes my data analysis different I don't finish a data analysis and go quiet. I tell you what the results mean, what they don't mean, and what someone might challenge — before they do. If an assumption is violated, I flag it and fix it. If a simpler method gives you a more defensible answer, I'll recommend it even if it makes my work look less complex. Every data analysis I deliver is fully reproducible, clearly documented, written in plain language, and backed by the methodology that actually fits your data — not the one that looks most impressive. Projects I handle regularly Dissertation data analysis — Chapter 3 through final results Panel data analysis with fixed and random effects Time series data analysis and ARIMA forecasting Survival data analysis for clinical and public health research Econometric data analysis for policy evaluation and causal inference Business data analysis for forecasting and financial modeling Healthcare data analysis for medical research and clinical trials Survey and cross-sectional data analysis for academic and applied research Have a dataset, a deadline, or a research question you're not sure how to frame? Send me a message. I respond within an hour, and I'll tell you straight away how your data analysis should be approached and whether I'm the right person to help.
- Statistics
- Statistical Analysis
- Econometrics
- Data Analysis
- Biostatistics
- Stata
- R
- IBM SPSS
- Statistical Programming
- Quantitative Research
- Data Visualization
- Statistical Computing
- Multivariate Statistics
- Statistical Process Control
- Regression Analysis
- Logistic Regression
- Linear Regression
- Time Series Analysis
- Time Series Forecasting
- Data Analytics
Calgary, Canada
Top Rated Economist | Data Analyst | Statistician | Quantitative & Qualitative Researcher | Survey Analyst | Statistician Econometrician | Research Analyst | Survey Specialist | Visualization Expert ✅ Lead Analyst @Suncor Energy. Previously, a Business Analyst @NNPC & @Pan Allen Energy ✅ A Consulting Researcher @Statisda with high level research experience -000's of offers closed ✅ Able to Gather and transform data into publication-ready insight for Businesses & Researchers ✅ Econometrics| Time-series |Panel data |Cross-sectional |Non-parametric |ANOVA | Regression ✅ Adapt to any writing & formatting style; MLA, Harvard, APA, Chicago, IEEE ✅ Tools: SPSS | Stata | EViews |R | Python | Power BI | Tableau | Excel ✅ 100% original, Copyscape-verified work with unlimited revisions ✅ Professional dashboards, reports, visualizations & clear storytelling My Services: Thesis, Dissertation & Research Editing, Proofreading & Guide ⭐ Areas of focus; social sciences; Business, Finance, Economics etc ⭐ Data Collection, Literature reviews, case studies, whitepaper guide ⭐ Assistance on In-depth literature review using peer-reviewed journals ⭐ Guide to Perfect formatting in APA, MLA, Chicago, Harvard or IEEE ⭐ Insight on SEO-optimized where needed, while keeping full scholarly rigor ⭐ Professional structure with tables, figures & references Time Series Analysis ⭐ Unit root testing/ Stationarity ⭐ Cointegration analysis ⭐ Long Run Regression ⭐ Auto-Regressive Distributive Lag ⭐ Error Correction Model ⭐ Vector Error Correction Model ⭐ Simultaneous Equation ⭐ Vector Auto-Regressive model ⭐ Generalized Method of Moment ⭐ 2 Stage Least Squares ⭐ Volatility Analysis ⭐ Instrumental Variables ⭐ GARCH Modelling ⭐ ARCH Modelling ⭐ Variance Decomposition ⭐ Impulse Response Model ⭐ Volatility Check ⭐ Auto Correlation ⭐ Walds Test ⭐ And a lot more Panel Analysis ⭐ Panel Unit Root ⭐ Panel Cointegration ⭐ Fixed Effects OLS ⭐ Pool Ordinary Least Square ⭐ Random Effects ⭐ Random Walk ⭐ Fully Modified OLS ⭐ Canonical Regression ⭐ Graphical Presentation ⭐ Online Consultation ⭐ And a lot more Cross Sectional Analysis ⭐ Binary Models: Tobit ⭐ Probit Model ⭐ Logit Model ⭐ Multinomial Analysis ⭐ Factorial Analysis ⭐ Linear Regression ⭐ Correlation ⭐ Delphi Method of Estimation ⭐ Multivariate analyses ⭐ Simultaneous equations ⭐ And a lot more Non Parametric Analysis ⭐ Kruskal-walis Test ⭐ Mann-Whitney Test ⭐ Friedman Test ⭐ Chi-square ⭐ Kappa Measure of Agreement ⭐ Wilcoxon Signed-rank Test ⭐ And a lot more Group Comparison ⭐ T-Tests ⭐ Effect Size ⭐ One Way ANOVA ⭐ Two Way ANOVA ⭐ Multivariate Analysis of Variance ⭐ Analysis of Covariance ⭐ Generalized Linear Models ⭐ And a lot more Survey & Questionnaire ⭐ Questionnaire Design ⭐ Survey Design ⭐ Survey Analysis ⭐ And a lot more Preliminary & Descriptive Analysis ⭐ Massaging and Cleaning ⭐ Data Visualization Graphs & Tables ⭐ Development of Scale ⭐ Cronbach’s Alpha Coefficient ⭐ Mean, Frequency ⭐ Proportions, Charts, Graphs ⭐ Assessing Normality ⭐ Trend Analysis ⭐ Sampling Distributions ⭐ PowerPoint Presentations for Statistical Results ⭐ And a lot more Interactive Dashboard & Visualization ⭐ Visualize sales performance, ⭐ Performance tracking ⭐ Track project progress ⭐ Analyze market trend ⭐ Powerful insights. Tools ⭐ Microsoft Office Programs ⭐ Proficient with Python Programming language ⭐ Online survey distribution programs; Qualtrics, Survey Monkey, Google Survey ⭐ Econometrics; SPSS, STATA, EVIEWS, MAT-LAB, TABLEAU, RStudio etc
- Data Mining
- IBM SPSS
- Data Analysis
- Data Analytics
- Research Methods
- Research Paper Writing
- Statistical Analysis
- EViews
- Python
- Survey Design
- Qualitative Research
- Quantitative Analysis
- Academic Research
- Academic Editing
- Academic Content Development
- Stata
- Regression Analysis
- Logistic Regression
- Linear Regression
- R
Udaipur, India
Data Analyst| Ph.D. in Management & Sustainability | Expert in Quantitative & Qualitative Research | 7+ Years of Data Analysis Experience| ERP data entry I help researchers, professionals, and organizations turn complex data into clear, publication-ready insights using SPSS, SmartPLS, AMOS, NVivo, EViews, Jamovi, Excel, and SurveyMonkey. My focus is on ethical, high-quality research analysis, editing, and publication support. With over 7 years of experience supporting Ph.D. scholars, universities, and research teams worldwide, I guide clients from data collection to publication — ensuring accuracy, originality, and impact. What I Offer: Quantitative Research & Data Analysis • Survey design and data collection using SurveyMonkey • Statistical analysis (t-tests, ANOVA, regression, correlation, factor analysis) • Structural Equation Modeling (SEM, CFA, mediation/moderation) using AMOS / SmartPLS / Jamovi / SPSS • Data visualization and report formatting (APA / Harvard style) Qualitative Research & Systematic Reviews • Thematic and content analysis using NVivo • Systematic reviews with PRISMA flow diagrams and conceptual frameworks • Bibliometric mapping and keyword analysis using VOSviewer Research Paper, Dissertation, Thesis & White Paper Support • Editing, proofreading, and formatting for academic and professional publications • Structuring results and discussions based on analysis outputs • Preparing publication-ready manuscripts, white papers, and research reports • Reference and citation formatting using Zotero ERP Specialist (Dynamics NAV) | Financial Data Analyst | Excel Expert | Reconciliation & Reporting Why Clients Choose Me • Ph.D. in Management & Sustainability with a strong background in research methodology • Experienced in supporting 500+ international researchers and professionals • In-depth understanding of academic, dissertation, and white paper standards • Focused on clarity, ethics, and research excellence Let’s collaborate to transform your research into credible, impactful, and publication-ready outcomes.
- IBM SPSS
- NVivo
- Data Collection
- Data Analysis
- Report Writing
Polk City, Iowa
Your marketing spend is scaling, but your profit margins aren't following. Your teams are drowning in spreadsheets, and your current dashboards create more questions than they answer. 𝗜 𝗳𝗶𝘅 𝘁𝗵𝗶𝘀. As a Data Scientist and Marketing Analytics Expert with over 12 years of experience, I help business owners stop guessing and start scaling. With an M.S. in Statistics (Texas A&M) and deep expertise in Tableau, SQL, and R, I build the automated data pipelines and executive dashboards that leadership teams actually use to drive revenue. I don't just hand over charts, I treat your marketing like a highly optimized production line to eliminate waste and maximize profit. 🎯 𝗪𝗵𝗮𝘁 𝗜 𝗗𝗲𝗹𝗶𝘃𝗲𝗿 (𝗢𝘂𝘁𝗰𝗼𝗺𝗲𝘀 𝗬𝗼𝘂 𝗖𝗮𝗻 𝗘𝘅𝗽𝗲𝗰𝘁): 1. 𝗘𝘅𝗲𝗰𝘂𝘁𝗶𝘃𝗲 𝗧𝗮𝗯𝗹𝗲𝗮𝘂 𝗗𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱𝘀: Clean, interactive dashboards that put profit-driving KPIs front and center (CAC, LTV, ROAS, Payback Period, Conversion). 2. 𝗠𝗮𝗿𝗸𝗲𝘁𝗶𝗻𝗴 𝗦𝗽𝗲𝗻𝗱 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻: Aligning your marketing data with profit metrics, historically delivering 15–30% ROI improvements for my clients. 3. 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗲𝗱 𝗥𝗲𝗽𝗼𝗿𝘁𝗶𝗻𝗴 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀: Replacing manual, error-prone spreadsheet work with automated SQL/R data workflows that speed up decision cycles by 20–50%. 4. 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝘃𝗲 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴 & 𝗦𝗲𝗴𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻: Uncovering your most high-value customers and most profitable acquisition channels using advanced statistical analysis. 🏆 𝗪𝗵𝘆 𝗖𝗵𝗼𝗼𝘀𝗲 𝗠𝗲? • 𝗧𝗼𝗽 𝗥𝗮𝘁𝗲𝗱 𝗘𝘅𝗽𝗲𝗿𝘁: 5+ years of delivering 5-star results on Upwork. • 𝗦𝘁𝗮𝘁𝗶𝘀𝘁𝗶𝗰𝗮𝗹 𝗥𝗶𝗴𝗼𝗿: M.S. in Statistics ensures my models and insights are mathematically sound, not just superficial vanity metrics. • 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝗰 𝗣𝗮𝗿𝘁𝗻𝗲𝗿: I don't just build what you ask for; I advise on what you actually need to hit your growth targets. 🛠️ 𝗖𝗼𝗿𝗲 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸 & 𝗞𝗲𝘆𝘄𝗼𝗿𝗱𝘀: • 𝗕𝗜 & 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻: Tableau (Dashboard Design, Blending, Automation, Interactivity) • 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 & 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀: R, SAS, Predictive Modeling, Linear Regression, Forecasting, Cohort Analysis, Propensity Modeling • 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴: SQL, ETL Pipelines, Automated Reporting, Data Modeling, AWS, Athena, PostGres, Make • 𝗗𝗼𝗺𝗮𝗶𝗻 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲: Marketing Analytics, E-commerce, Manufacturing, Campaign Reporting Ready to stop guessing and scale with clarity? Send me a message or book a consultation to discuss your current data setup and how I can turn your analytics into a profit center.
- SAS
- Tableau
- R
- Marketing Analytics
- Data Analysis
- Data Visualization
- Linear Regression
- Data Modeling
- Mathematics
- Campaign Reporting
Taby, Sweden
I help organizations transform complex data into actionable insights that drive growth, improve decision making, and create measurable business value. With a PhD in econometrics, statistics, and causal inference and more than a decade of quantitative experience, I specialize in data science, predictive modeling, survey research, marketing analytics, business intelligence, experimentation, and advanced statistical analysis. My experience spans e-commerce, iGaming, insurance, banking, non-profit, automotive, telecom, retail, healthcare, engineering, and research sectors. I have delivered projects ranging from forecasting, predictive modeling, customer analytics, and large-scale survey research to marketing measurement, attribution, and end-to-end analytics platforms. I have extensive experience working with survey and observational data, including questionnaire design support, survey data cleaning and validation, scale and index construction, missing data handling, exploratory analysis, statistical modeling, and results visualization. I have analyzed customer, employee, stakeholder, healthcare, and research survey data using techniques such as logistic regression, count models, multilevel models, Bayesian methods, and causal inference approaches, translating complex findings into actionable recommendations. I have extensive experience building data-driven solutions using Python and SQL, including data analysis, machine learning, forecasting, statistical modeling, Bayesian analysis, survey analytics, customer segmentation, and decision-support systems. My expertise includes Marketing Mix Modeling (MMM), Multi-Touch Attribution (MTA), incrementality measurement, A/B testing, geo experiments, brand lift studies, causal inference, and Bayesian methods. Experienced in developing Bayesian MMMs using PyMC-Marketing and Google Meridian, I help organizations understand the true drivers of business performance by quantifying channel contribution, adstock and saturation effects, ROI, and budget optimization opportunities. I translate complex analytical findings into practical recommendations that stakeholders can confidently act upon. I have worked extensively with data from Google Ads, Meta, TikTok, LinkedIn, CRM systems, call-tracking platforms, survey platforms, web analytics tools, customer databases, and cloud data warehouses. My technical background includes HubSpot, Datacor, BigQuery, GA4, Snowflake, and custom internal data sources, with a strong focus on data integration, validation, ETL processes, and scalable analytics workflows. Beyond analysis and modeling, I develop dashboards, visualizations, and decision-support applications using Streamlit, Looker, Plotly, and business intelligence platforms. I am passionate about making data accessible and useful, whether through executive dashboards, interactive analytics applications, or clear communication of complex statistical results. I also have extensive experience teaching, mentoring, and collaborating with technical and non-technical stakeholders. As a former university professor, I designed and taught graduate-level courses in statistics, econometrics, quantitative methods, and research design. Whether supporting business leaders, training analysts, or working with cross-functional teams, I focus on delivering solutions that combine analytical rigor with practical business impact. Whether the goal is building predictive models, improving reporting infrastructure, analyzing survey data, conducting statistical research, optimizing marketing investments, measuring incrementality, forecasting business outcomes, or developing advanced analytical solutions, I bring a rigorous quantitative approach and a proven track record of turning data into decisions.
- Machine Learning Model
- Natural Language Processing
- Python
- Network Analysis
- Text Analysis
- Data Cleaning
- Visualization
- Analytical Presentation
- Regression Testing
- Statistics
- Statistical Infographic
- Data Analysis
- Predictive Analytics
- Plot Development
Wrocław, Poland
Since 2002 I have been employed at the Department of Economic Forecasting and Analysis at Wroclaw University of Economics. Currently at the post of an assistant professor. Although this work gives me a lot of satisfaction, I am looking for opportunities to test the suitability of my knowledge and skills (and maybe acquire new) in a real business. My current work is shared more or less equally between scientific research and teaching. In addition, occasionally I do expert analyses. I also own websites www.szandula.pl (a website for communication with students ) and www.wzory.info (portal featuring equations and tables used in different areas of science – as for now in the early stage). Both in my research and teaching work I use a number of different programs and programming languages such as: a) MS Office and Open Office family: Excel, Access, SQL, VBA; b) statistical and econometric software: Statistica, SAS, SPSS, R, OX, GRETL; c) computing environments: Matlab & Simulink, Octave; d) internet oriented: HTML, Webharvest , XPATH , JavaScript , BeanShell; e) graphics programs: Corel Draw, GIMP. RESEARCH The area of my research interests include mainly the theory of forecasting with particular emphasis on analogue methods, and time series analysis. In practical applications I mainly deal with the study of irregular cyclical fluctuations in the micro and macro scale. Earlier, I dealt with the demographic processes . I am the author of over 20 publications. In addition to publication in scientific journals I prepared and made available on my website workbooks using VBA macro for calculating analogue forecasts . TEACHING I hold both lectures, classes and computer labs. Since two years also in English. Up to now, I've been responsible for following courses: fundamentals of quantitative methods, mathematical statistics and econometrics, forecasting theory and computer simulation , forecasting and simulation , financial forecasting , financial analysis. I am the author of a prototype tool for automated checking students' knowledge of different courses. Macros written in VBA generate for each student individual set of exercises as well as their solutions. Student's solution is automatically checked . This system has been used successfully for 7 years in an increasing number of courses. It currently supports : financial analysis , mathematical statistics and econometrics, financial forecasting , fundamentals of quantitative methods. I plan to launch it on e-learning platforms. EXPERT ANALYSIS Occasionally I undertake expert analysis on demand. I have been involved in the preparation of, inter alia: - for the Wrocław City Office: forecasts of the development of different economic sectors in Wroclaw. - For the County Office of Złotoryja: statistical analysis of a survey on labor force participation of people with disabilities in the Złotoryja county. My task was firstly to write software using the language VBA and SQL to automatically obtain statistical measures for the desired queries and secondly to interpret some of the results. - For individuals: statistical studies of various surveys.
- R
- Microsoft Excel
- Statistics
- Econometrics
- Analytics
- Pricing
- Visual Basic for Applications
- Economic Analysis
- Quantitative Research
- Probability Theory
- Microsoft Access Programming
- Amazon PPC
- Pay Per Click Advertising
- MATLAB
- Equations
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