I help researchers, clinicians, and public health organizations turn messy datasets into clean, publication-ready analysis. My background is in epidemiology and public health — M.Phil with a 4.0 GPA, active researcher with peer-reviewed publications, and over four years of hands-on R programming across academic and international consultancy projects. I have worked with Health Security Partners on national AMR surveillance and with academic teams on COVID-19 modeling, sentiment analysis, and geospatial mapping. What I can do for you: — Statistical analysis in R: descriptive, regression, survival, time series, and epidemiological modeling — Sentiment analysis and topic modeling (LDA, VADER) on social media data — Geospatial analysis and choropleth mapping in QGIS — Research writing, report preparation, and systematic reviews — Data cleaning, wrangling, and visualization I communicate clearly in English (IELTS 7.5) and deliver on time. If you have a dataset, a deadline, and a research question — let's talk.

"Excellent statistician with a smart brain and skills to explain things easily - highly recommended." Client feedback for the job "Wilcoxon test in R". "Mohsen is a professional freelancer with great communication skills, working with him was an absolute pleasure.. Highly recommended" Client feedback for the job "Customer attrition prediction model". "Mohsen was great to work with, very patient and explained everything very clearly, even if I was a complete beginner and didn't know what to ask. Highly recommend working with him if you need help with R or any statistical analysis!" Client feedback for the job "Co-occurrences of phrases". Learning or understanding the complex statistical concepts can be as simple as shown in the client feedback above. I have tutored many students in using R/Python/Minitab/Excel for doing many statistical tasks. I have designed several personalized lectures using R/Python/Minitab/Excel for Data Analysis, Data Visualization, Machine Learning, Statistical tests, Six Sigma projects, SPC charts, Spatial data analysis, and even microbiome data analysis. Then, through screen sharing, I have explained these lectures line by line. In addition, I gave many examples during these lectures to help my learners grasp these concepts easily and fully. I am the author of several books on Amazon focused on using R for healthcare, marketing, data analytics, microbiome, and statistics. I have also published 2 articles in a high-impact journal. Furthermore, I earned several certificates from top universities (Harvard, Johns Hopkins, Denmark,...) in Statistics, Data Analytics, Machine Learning, Data Visualization, Six Sigma, Microbiome Analysis using R, and R Shiny apps. Furthermore, I am a Pharmacist with a Master’s Degree in Microbiology and a Diploma in Industrial Pharmacy. Some examples of previous work: ​+ Estimating geographical pay differences between different cities using the LASSO regression model and presenting results in a Shiny app. + Estimating gender difference in annual pay using a linear regression model and presenting results in a Shiny app. + Predicting defense style questionnaire (DSQ) columns using linear, PCA, LASSO regression, decision trees, and Random forests. + Predicting Kinase inhibitor resistance for cancer treatment using different models, such as random forest, XGBoost, SVM, and stacked models. + Using Item Response Theory (IRT), Bayesian statistics, and Bayesian Knowledge Tracing to track student mastery of skills over time. + Graphically representing species distribution and richness from species distribution models. + Develop mixed models for long-term weight loss after bariatric surgery. + Preparing R and Python tutorials according to client needs. + Develop network meta-analysis using 2 R packages, netmeta and gemtc. + Prediction of active labor using Poisson and Logistic regression. + Predicting housing defaults using generalized linear models (GLMs). + Microbiome data analysis of 16S rRNA sequences for 64 samples from a diet experiment with mice. + Data analysis and presentation for sports performance. + Different Spatial data analysis, including geographically weighted regression (GWR) with support for mapping. + Different SPC charts. + Text and Sentiment Analysis.

🌟 Profile Overview I’m a seasoned statistician and quantitative developer with a strong academic foundation and hands-on experience in algorithmic trading, statistical modeling, and data science. 🎓 Education • PhD (ABD) in Biometry • MS in Statistics University of Illinois at Urbana-Champaign 📊 Current Role Lecturer in Business Statistics and Developer of Automated Quantitative Trading Systems 💼 What I Do I specialize in designing and implementing trading algorithms for Forex, Futures, and Crypto markets, leveraging strategies such as: • Trend Following • Momentum • Mean Reversion • Statistical Arbitrage • Breakout Strategies …and more. My work integrates advanced statistical techniques with robust programming to deliver high-performance, data-driven solutions. 🧠 Technical Expertise Programming & Tools • Languages: C#, Python, R • Statistical Packages: SAS, SPSS • Databases & Querying: SQL and related tools Modeling & Machine Learning • Regression: Linear, Nonlinear, Logistic • Hierarchical & Mixed Models • Support Vector Machines (SVM), Random Forests • Bayesian Modeling • Unsupervised Learning & Clustering • Data Visualization & Dashboarding Experimental Design • Balanced Incomplete Block Designs • Split-Plot & Repeated Measures ANOVA • Factorial & Incomplete Factorial Designs 🗣️ Communication & Collaboration I pride myself on clear communication, making complex statistical concepts accessible to diverse audiences. Whether you're a startup founder, hedge fund manager, or academic researcher, I tailor my approach to meet your needs. 🚀 Let’s Work Together If you're looking for a data-driven partner who combines academic rigor with real-world experience, I’d love to collaborate. Let’s turn your data into actionable insights and your ideas into reality.

I'm a Senior Statistician & Data Scientist with extensive experience in statistical modelling, analysis and report writing. I've excelled in B.Sc. (Hons) and Masters in Statistics and a PhD in Social Statistics and Demography. I am proficient in SPSS, Stata, and R, focusing on multilevel modelling and longitudinal data analysis. I've successfully led diverse projects, e.g. health surveys, quality-of-life assessments for cancer patients, and census data analysis. My expertise ensures high-quality results for freelance statistical analysis projects.

I am a Data Scientist with a Master's degree in Statistics and professional experience delivering data-driven solutions through statistical modeling, machine learning, and advanced analytics. I help businesses, researchers, and organizations transform complex data into actionable insights that support informed decision-making. My expertise includes statistical analysis, predictive modeling, machine learning, data visualization, and interactive application development. I have worked on projects across business analytics, healthcare, biostatistics, transportation, and academic research, developing solutions that are both technically robust and practically useful. I specialize in building end-to-end analytical workflows, from data collection and preprocessing to modeling, visualization, and reporting. I also develop interactive applications using R Shiny and other Posit products to help stakeholders explore data and automate decision-making processes. Areas of Expertise • Statistical Modeling and Data Analysis • Machine Learning and Predictive Analytics • Hypothesis Testing and Experimental Design • Regression Analysis and Multivariate Methods • Data Cleaning, Preprocessing, and Feature Engineering • Exploratory Data Analysis (EDA) • R Shiny Application Development • Interactive Dashboards and Data Visualization • Business Analytics and Decision Support • Research and Biostatistical Analysis Technical Skills • Python (Pandas, NumPy, Scikit-learn, XGBoost) • R (Shiny, tidyverse, ggplot2, caret) • SQL • Posit Products (Shiny, Quarto, R Markdown) • Excel and Power BI • Statistical and Machine Learning Techniques • Master's Degree in Statistics • Top Rated Freelancer with 100% Job Success • Experience delivering machine learning, analytics, and statistical solutions • Strong communication with both technical and non-technical stakeholders • Commitment to producing accurate, reproducible, and well-documented work Whether you need advanced statistical analysis, predictive models, interactive R Shiny applications, or comprehensive data solutions, I am committed to delivering high-quality results that create measurable value.

Skills -Data management and Statistical Analysis -Academic, Scientific, and Grant Writing -Software and language Proficiencies- R, C# ,SPSS, SQL, Excel, Unity I am a Ph.D. Research Psychologist with a focus in advanced quantitative and experimental methods. I also completed a post-baccalaureate certificate in applied statistics. I have experience with advances statistical methods including ANOVA, regression, structured equation modelling, multi-level modelling, meta-analyses, as well as more basic analysis and visualization. I also have extensive experience working in advanced data management and automating data transformation and cleaning in health and research settings. I have provided data analysis consultation services and support for research in a variety of disciplines including nursing, marine science, public admisntration, archeology, fine arts, and biostatistics I have extensive skill and experience in R, SPSS, SQL, and excel. I am also familiar with work flow management tools like GitHub, Jupyrter notebooks, and Google CoLab. I am proficient in scientific wring and have several peer re-viewed publications. I have successfully submitted Grants to different funding agencies including the National Institute of Health.

I’m a bioinformatics specialist with deep expertise in multi-omics, advanced statistics, and data-driven computational biology. I build end-to-end analysis pipelines, machine-learning workflows, and full-stack analytical applications tailored for research and biotech. My core strengths include: • Multi-omics analysis: bulk & single-cell RNA-seq, ATAC-seq, proteomics, lipidomics, metabolomics, cytokine panels, and integrative multi-omics modeling (MOFA, DIABLO, WGCNA, chromVAR, network analysis). • Advanced statistics & computational methods: differential analysis, mixed effects models, longitudinal designs, batch correction, feature selection, Bayesian modeling, and high-dimensional inference. • Machine learning & AI: supervised and unsupervised learning, classification, clustering, feature engineering, model tuning, and interpretable ML for biological and clinical datasets. • Python and R engineering: reproducible pipelines, notebooks, renv/venv environments, optimized code, data wrangling, visualization, and automation (tidyverse, DESeq2, Seurat, limma, sklearn, PyTorch-light workflows). • Biostatistics & data science: rigorous data QC, exploratory analysis, normalization, imputation, effect estimation, and publication-ready figures. • Full-stack app design & dashboards: R Shiny, Plotly Dash, Streamlit, FastAPI back ends, and modern front-end development using React, Vite, Tailwind, component libraries, and API-driven architectures. I build clean, fast, and interactive tools for analytics, reporting, and client use. I deliver production-ready, reproducible, and well-documented workflows suitable for research labs, startups, and clinical projects. At the tail end of my skill set, I also support small-scale computational chemistry tasks including virtual screening, molecular dynamics, and light drug-design workflows, when relevant to biological findings. If you need a bioinformatics expert who merges strong statistical foundations, robust coding, full-stack development, and deep domain knowledge, I can take your project from raw data to polished, actionable insight.

Currently working as data analyst in Seatchatlas and Statbid. With a strong academic foundation and extensive professional experience in business intelligence, data visualization, and statistical modeling, I am confident in my ability to contribute effectively to any organization. After earning my degree in Finance, where I gained a solid grounding in Finance, Statistics, Macroeconomics, and Marketing, I pursued a Master's in Business Informatics. Most recently, I completed an MSc in Complex Systems and Networks, where I extensively used R to graphically represent statistical models and complex networks. These academic pursuits have honed my analytical and technical skills, while fostering a deep appreciation for the interplay between Computer Science and Economic Sciences. Currently, I am advancing my expertise through a PhD program, focusing on the application of machine learning and network science techniques in financial and economic systems. My research involves the development of predictive models and causal inference frameworks, using large-scale data analysis to address complex, real-world challenges in financial markets and organizational behavior. This experience has deepened my proficiency in quantitative methodologies, reinforced my ability to handle interdisciplinary projects, and enhanced my problem-solving approach when working with intricate datasets. In my professional experience as a Business Intelligence Analyst, I specialize in transforming complex datasets into actionable insights. My work involves leveraging tools such as R/Shiny, Tableau, Qlik Sense, and Microsoft Power BI to deliver data-driven solutions that align with business objectives. Additionally, I have collaborated with various firms on freelance projects, further refining my expertise in data visualization and statistical modeling. As an author for R-exercises, I have published tutorials and exercises on R packages like shiny, ggplot2, ggvis, and Rmarkdown, as well as machine learning methodologies. Through these contributions, I have demonstrated my ability to break down complex concepts into accessible and practical solutions, benefiting both professionals and learners in the field. My diverse academic and professional background has equipped me with a unique perspective, blending precision, creativity, and technical expertise. I am passionate about solving complex problems, uncovering actionable insights, and driving data-informed decision-making. I am excited about the possibility of contributing to impactful projects and would be delighted to discuss how my background aligns with organizational needs. Attached you can find URLs of some of my Shiny projects. There are only parts of them that I had clients' permission to deploy and use as a portfolio.

Are you in search of a skilled and detail-oriented statistician and data analyst who has the right domain knowledge to extract accurate insights from your research, survey, electronic health records, randomized controlled trials, development programming, and business data? If yes, you have come to the right profile. I am a data analyst with over ten years of experience in working with various tools such as Excel, Stata, R, Python, SAS, and Power BI. I am not only interested in working with data but also enthusiastic about the stories and insights that it can reveal, particularly if such findings can contribute to business and policy decisions. While a typical analyst may view data in terms of numbers and values, I will collaborate with you to identify the relevant econometric models based on the domain knowledge to analyze your dataset accurately and provide valuable insights. I possess subject matter expertise in education, engineering, sales, healthcare, gender, and international development. Therefore, you will be hiring someone who can personalize your project through a deep understanding of your dataset. I possess expertise in multiple areas, including: → Designing and analyzing surveys using techniques such as stratification, clustering, weighting factors, design effects, etc. → Designing and analyzing randomized controlled trials → Conducting descriptive, predictive, and inferential statistical analysis → Cleaning and mining data using Stata, R, Python, and SAS → Performing regressions such as OLS, polynomial, logit, probit, ordinal, multinomial, Heckman, etc. → Using regularization regressions such as ridge and lasso → Applying count models regression techniques such as Poisson, negative binomial, zero-inflated, etc. → Using instrumental variable regression, panel data regression, and time series analysis → Conducting principal component and factor analysis → Performing survival analysis using techniques such as censoring, survivor function, Cox regression, Kaplan-Meier curves, and hazard function → Interpreting results in detail and writing reports on findings. Let me know if you have any further questions or if you need any assistance with any of these areas. Get in touch with me at let’s bring your project to life in the shortest possible time.

With a Ph.D. in Statistics and over 14 years of academic and research experience, I provide expert-level statistical consulting and data analysis services for both academic and industry-based projects. Currently serving as an Assistant Professor in Statistics, I specialize in transforming raw, complex data into clear, actionable insights that drive results. Tools & Technologies I Use: SPSS, R Studio, Python (Pandas, Scikit-learn, Statsmodels), SAS Studio, MS Excel (Advanced Analytics), Jamovi, Stata, Systat Services I Offer: Hypothesis Testing & Inferential Statistics Regression, ANOVA, Correlation, Chi-square Exploratory & Confirmatory Factor Analysis (EFA/CFA) Machine Learning & Predictive Modeling Survey Design & Likert Scale Analysis Thesis/Dissertation Support (Statistical Chapters & Interpretation) Data Cleaning, Visualization & Report Writing Industries I Serve: Healthcare & Clinical Research (biostatistics, RCT analysis, patient data) Education & Social Sciences (survey studies, experimental designs) Business & Marketing Analytics (consumer behavior, A/B testing, forecasting) Finance & Economics (risk analysis, time series forecasting, econometrics) Psychology & Behavioral Science (scale validation, SEM, psychometrics) Public Policy & Government Research (sampling methods, demographic analysis) Manufacturing & Quality Control (DOE, control charts, Six Sigma tools) Client-Centric Approach: I’m committed to delivering accurate, timely, and impactful solutions — whether it’s a one-time analysis or long-term support. I’ve worked with Ph.D. scholars, researchers, startups, and professionals across the globe. Rate Flexibility: I value long-term professional relationships and client satisfaction, and I am willing to work at your proposed rate to ensure we achieve the best outcomes together. Now bringing my services to Upwork, I aim to deliver accurate, reliable, and impactful statistical solutions always on time and tailored to your unique goals. Let’s connect and discuss how I can help bring your data to life.