Hire the Best R Shiny Professionals

For more than a decade, I utilize the R and Python programming languages to process, visualize and extract information from data and for almost five years for Geospatial analysis. I'm the author / maintainer of R packages (I've submitted more than 10 to CRAN). You can view my Github profile at the following weblink: github.com/mlampros I work with R and Rstudio on a daily basis. I can work with machine learning algorithms based on almost all CRAN, Github or Gitlab repositories. I can utilize visualization R packages such as ggplot2, plotly, tmap, leaflet, mapview. I can create shiny applications (shiny.rstudio.com/gallery/) and report my results in .pdf, word, .html or any other available format using Rmarkdown. Moreover, I'm capable of using the hybrid 'Rcpp' and 'RcppArmadillo' R packages to improve the efficiency of R code and the Keras and Pytorch deep learning libraries for regression, classification, object detection or image segmentation (with or without pre-trained models).

I turn messy, high-stakes data into decisions people can act on. Over 15+ years and 66 Upwork contracts (~4.9/5 stars across rated jobs, 84% perfect 5.0s), I've built my practice on one promise: you get a clear answer, a tool your team can actually use, and plain-English communication throughout. What I do best: * Interactive R Shiny dashboards and analysis platforms: 12+ shipped, including a 20+ package bioinformatics platform and a no-code causal-inference tool for pharmaceutical analysts * Machine learning and predictive modeling: injury prediction for an NFL franchise, mortgage default risk, game simulation * Statistical analysis: hierarchical Bayesian modeling, MaxDiff and survey analytics, meta-analysis, causal inference * R package development: a production package built over a 952-hour flagship engagement, plus a released CRAN package * Quantitative finance: DCC/GARCH modeling, asset allocation, backtesting frameworks Domains I know well: healthcare and EHR data, bioinformatics and genomics, finance and trading, marketing analytics, survey research, and sports. How I work: independently, end to end. Most clients hand me a problem, not a spec. I scope it, deliver in agreed milestones, and explain the results so non-technical stakeholders can make the call. That approach is why most of my work is repeat business, and why "Committed to Quality" and "Clear Communicator" are my two most-endorsed client tags. M.S. in Bioinformatics from Johns Hopkins. Co-author on 8 peer-reviewed papers. US-based native English speaker. If you have data that should be driving a decision and isn't yet, let's talk.

I help research, healthcare, education, and behavioral science teams turn complex data into clear findings, publication-ready reports, dashboards, and AI-enabled tools. I bring a rare mix of PhD-level statistical training and hands-on AI/data engineering. My background includes 200+ Upwork jobs, Top Rated status, published academic research, graduate-level statistics teaching, grant evaluation work, and current work as a Lead Data Science & Analytics Architect for a VA-facing behavioral health chatbot. I can help with: - Statistical analysis in R, Python, SPSS, JASP, or Stata - APA-style results sections, tables, figures, reports, and presentations - Regression, GLM, multilevel models, SEM/factor analysis, mediation, power analysis, meta-analysis, and ML models - Survey data cleaning, coding, visualization, and interpretation - Dashboards in Power BI, Tableau, R Shiny, or Microsoft Fabric - AI agents, RAG/GraphRAG workflows, NLP, Azure AI, and Microsoft Copilot Studio solutions My clients usually come to me when they need more than a quick chart. They need analysis that is technically sound, clearly explained, and ready for stakeholders, reviewers, funders, or product teams. Send me your research question, dataset, analysis plan, or AI/data product idea, and I'll help clarify the best next step.

I'm a proactive data scientist with a strong background in programming and economic analysis. Skilled in analytical problem-solving and experienced programming. I have the experience to lead and work in a team. Reliable, detail-oriented, and committed to delivering high-quality work. MSc in Economics, so the reporting I build starts from the business question, not the chart. Your team shouldn't be doing manually repeated processes. I build automations that move it for them - Sheets, Forms and Gmail wired to WooCommerce, Jotform, CRMs and REST APIs. Who I work with: Small and mid-sized businesses running their operations on Google Sheets/Excel/Other repositories that have outgrown copy-paste: sales and inventory tracking, order intake, quoting, and recurring reporting. What I've built: - A sales and inventory system in Google Sheets + HTML with a live dashboard, replacing manual daily consolidation across multiple locations. - WooCommerce → Google Sheets order sync over the REST API, so stock and revenue reporting stay current without exports. - Jotform → Sheets → Gmail intake flows that validate submissions and send formatted quotes automatically. - An interactive Power BI dashboard for a national trends study, turning survey data into a public exploration tool. - R Shiny apps for a data-driven business. Data extraction using Python, information processing, storage in MariaDB and AWS S3, data connection via SQL and R, data cleaning and organization, and app development using R frameworks. - And more .... How I work: I start from your actual spreadsheet and your actual process. You get a short written plan before I write any code, clean and commented Apps Script/R/Python that runs in your own account/machine, and a walkthrough so your team can maintain it without me. Stack: Google Apps Script - Sheets / Forms / Docs / Gmail / Drive APIs · REST & webhook integrations (WooCommerce, Jotform, CRMs, ...) - R - R Shiny - Python - SQL - Looker Studio - Power BI My unique perspective: I run my own businesses in Colombia — retail, food and services — and I automated my own operations before I automated anyone else's. That changes the questions I ask. Not "can this be automated", but whether it cuts a cost, frees up a person, or brings money in faster. If a process isn't worth automating, I'll tell you that instead of quoting it. Tell me what your process looks like today and where it breaks. I'll tell you within a day whether it's worth automating and roughly what it takes.

I help clients transform data to insight using statistics, machine learning and data visualization. I assist individuals, academics, start-ups, and SMEs across a variety of industries and disciplines. Additionally, I develop web applications using Django framework. I also create websites using WordPress CMS. I help clients with any stage of the process of transforming raw data to insight: ✅ Pre-analysis data preparation and cleaning ✅ Data exploration with visualization and descriptive statistics ✅ Inferential statistics, such as hypothesis testing (t-test, ANOVA, ...) ✅ Statistical modelling (linear, logistic, ridge, lasso regression...) ✅ Machine learning modelling (k-nearest neighbors, decision trees, gradient-boosted trees...) ➡️ Including variable engineering and selection, model building, model validation, model monitoring, and model explainability (for example SHAP values) ✅ Visualization of analysis results and insights with graphs and dashboards ✅ Report writing – summarizing analysis results and insights, editing existing reports or manuscripts, or explaining how the analysis was carried out Tools: 🧰 R and Python for data preparation, statistics, and machine learning. Also Excel if you prefer. 📊 R/ggplot2/Shiny, Python/Matplotlib/Dash for data visualization, or Excel if preferred. 📃 Word, LaTeX or R/Jupyter notebooks for report writing depending on your preference. Professional Expertise: 💻 Over 4 years of professional data science experience across academia, and as a freelancer Want to know how I can help you? Please get in touch. I look forward to hearing from you.

Turn your raw data into clear, actionable insights—whether for business growth or rigorous research. Data is only valuable if you can understand it. If you are struggling with messy datasets, complex statistical models, or manual reporting, I am here to help you find the answers hidden in your data. I am a verified Data Scientist specializing in end-to-end data analysis, advanced statistical modeling, and interactive visualization. From cleaning disorganized databases to building corporate dashboards and writing comprehensive research reports, I deliver clear, accurate, and professional results. Core Services I Provide: 1. Advanced Statistical Analysis: Hypothesis testing, regression modeling, ANOVA, and factor analysis using IBM SPSS, Stata, and R. 2. Business Intelligence & Dashboards: Building interactive, automated Power BI and Excel dashboards to track key performance metrics. 3. Data Automation & Machine Learning: Writing clean Python scripts (Pandas, NumPy, Scikit-learn) to automate manual workflows and build predictive models. 4. Survey & Research Analysis: Cleaning survey data, interpreting consumer trends, and writing executive summaries or academic-grade reports. The Tech Stack I Master: 1. Statistical Tools: IBM SPSS, Stata, R Studio, Jamovi, SAS 2. Programming: Python, SQL 3. Visualization: Power BI, Microsoft Excel, PowerPoint No matter how messy your dataset is, I will deliver clean code, clear charts, and professional reports.Click the "Invite to Job" or "Message" button on the top right to discuss your project goals today!