Experienced business consultant with over a decade of helping small companies grow. I have 5 yrs + working with teams on data analysis/ML problems. Excellent analytical background paired with a deep business understanding to create solutions to problems instead of just using the latest tools for the sake of using them.

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 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.

I am experienced researcher with 50+ international publication, excelling in biomedical statistics, helping healthcare professionals and researchers unlock insights from data. I have extensive expertience using Stata, SPSS, SAS and R for data analysis and excel in descriptive and analytical statistics, regression modeling, meta-analysis, and trend analysis. I do secondary data analysis, transforming complex datasets into clearly presentable findings for clinical trials, epidemiological studies, and patient outcomes research. Let’s collaborate to design studies, analyze data, and generate impactful reports. Together, we can uncover the potential hidden in your data.

I help clinical researchers, healthcare organizations, and biotech teams analyze clinical, real-world, and genomic data using R and biostatistics. I deliver reproducible analyses, predictive models, clear interpretations, and publication-ready results. I hold a Bachelor’s degree in Oral and Dental Medicine and have professional experience in healthcare analytics and clinical research. This combination helps me understand both the clinical question and the data behind it. I work primarily in R and SQL across clinical research, longitudinal data, Medicare/CMS claims, EHR/EMR data, and public genomic datasets such as TCGA and GEO. MY CORE SERVICES Clinical Biostatistics • Descriptive and inferential statistics • Linear and logistic regression • Survival analysis, Kaplan-Meier estimation, and Cox regression • Mixed-effects models and longitudinal analysis • Propensity-score methods Healthcare and Real-World Data Analytics • Claims, provider, and EHR/EMR analysis • Data cleaning, integration, and quality checks • Geographic, demographic, and socioeconomic analysis • Reproducible workflows using R, SQL, and APIs Predictive Modeling in R • Regression and classification • LASSO and random forests • Feature development and model validation • Clear interpretation of model results and limitations Bioinformatics and Genomic Analysis • Downstream analysis of processed TCGA and GEO data • Gene-expression and biomarker analysis • Survival and pathway-level analysis • Publication-quality visualizations Reporting and Visualization • Reproducible and documented R code • Statistical tables and publication-ready figures • Visualizations using ggplot2 • Power BI and R Shiny dashboards • Technical reports and decision-ready summaries I provide clearly scoped, reproducible analytical work with transparent methods, assumptions, and limitations. If you need reliable statistical support for a clinical, healthcare, or biomedical research project, please feel free to contact me.

I’m statistician and quantitative developer with a strong academics and hands-on experience in data analysis, machine learning, quantitative 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.

𝗔 𝗦𝘁𝗮𝘁𝗶𝘀𝘁𝗶𝗰𝗶𝗮𝗻, 𝗕𝗶𝗼𝘀𝘁𝗮𝘁𝗶𝘀𝘁𝗶𝗰𝗶𝗮𝗻 𝘄𝗶𝘁𝗵 𝟵+ 𝘆𝗲𝗮𝗿𝘀 𝗱𝗲𝗹𝗶𝘃𝗲𝗿𝗶𝗻𝗴 𝗽𝘂𝗯𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝘀𝘁𝗮𝘁𝗶𝘀𝘁𝗶𝗰𝗮𝗹 𝗮𝗻𝗮𝗹𝘆𝘀𝗶𝘀 𝗳𝗼𝗿 𝗰𝗹𝗶𝗻𝗶𝗰𝗮𝗹 𝗿𝗲𝘀𝗲𝗮𝗿𝗰𝗵, 𝗱𝗶𝘀𝘀𝗲𝗿𝘁𝗮𝘁𝗶𝗼𝗻𝘀, 𝗮𝗻𝗱 𝗽𝘂𝗯𝗹𝗶𝗰 𝗵𝗲𝗮𝗹𝘁𝗵 𝘀𝘁𝘂𝗱𝗶𝗲𝘀. Specializing in NHANES, CDC Wonder, DHS, NIH survey data mining, data analysis, clinical trial statistics, PhD statistical analysis of dissertation support, survey data analysis & validation. 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. 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 • AI-Assisted Analysis: Predictive modelling and pattern detection using Python • Data mining from public databases (NHANES, CDC WONDER, DHS, IPUMS) 𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲 & 𝗧𝗼𝗼𝗹𝘀: • Primary: R (RStudio, R Markdown, tidyverse, ggplot2), Python (Jupyter, scikit-learn, pandas) • Also Proficient: IBM SPSS, Stata, SAS, Excel 𝗪𝗵𝘆 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗖𝗵𝗼𝗼𝘀𝗲 𝗠𝗲: • Transparency: Clear analysis plan and fixed-price quote before work begins • Proven Quality: 100% Job Success Score, 4.8/5 rating, 250+ projects delivered • Speed: Most projects delivered within 3–5 business days • Communication: Under 2-hour response time, weekly progress updates • Peer-Review Ready: 50+ published journal articles supported 𝗥𝗲𝗰𝗲𝗻𝘁 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀: • NHANES Analysis: Analysed 10-year NHANES data (n=8000) on arthritis and sleep duration-delivered APA tables for journal submission • DNP Dissertation: Guided doctoral candidate through Chapters 3 & 4, including power analysis and logistic regression-passed with minor revisions • Clinical Trial: Performed survival analysis (Cox PH) and mixed-effects modeling for Phase II trial-results presented internationally • Survey Validation: Cleaned 500-respondent health survey, handled missing data via MICE, conducted CFA-enabled journal publication 𝗖𝗹𝗶𝗲𝗻𝘁 𝗙𝗲𝗲𝗱𝗯𝗮𝗰𝗸: ⭐⭐⭐⭐⭐ "Daniel's statistical analysis was perfect for my research journal submission. He explained every step clearly and delivered ahead of schedule. Highly recommend." ⭐⭐⭐⭐⭐ "Exceptionally talented and committed. He handled our complex NHANES dataset with ease and provided publication-ready tables. We trust him completely." ⭐⭐⭐⭐⭐ "Fixed my survey data issues in hours. His knowledge of MICE imputation and CFA saved my dissertation. Will hire again." 𝗥𝗲𝗮𝗱𝘆 𝘁𝗼 𝗴𝗲𝘁 𝘀𝘁𝗮𝗿𝘁𝗲𝗱? 📩 Send me: 1. A brief description of your research question or business problem 2. Your dataset (or a sample if confidential) 3. Your deadline and any specific formatting requirements 𝗬𝗼𝘂'𝗹𝗹 𝗿𝗲𝗰𝗲𝗶𝘃𝗲: ✅ A free Statistical Analysis Plan (SAP) with recommended tests ✅ A clear fixed-price quote with milestone breakdown ✅ An estimated timeline for completion ⚡ Average response time: Under 1 hours Click "Hire Now" or "Invite" to start today.

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.

I'm a bioinformatics programmer and software engineer with a strong background in developing scalable, reproducible pipelines and scientific software for genomics and computational biology. I specialize in translating complex biological problems into efficient, production-ready code, using tools like Nextflow, R, C++, and Python, with deep experience in data analysis, algorithm development, and infrastructure design. Previously, I worked at UCSF’s EPPIcenter, where I developed bioinformatics tools and pipelines for malaria surveillance and public health research. My work has resulted in a published modular amplicon sequencing pipeline for Plasmodium falciparum that enables sensitive detection of drug-resistance markers, even at low parasitemia levels. I’ve optimized primer trimming, demultiplexing, and false positive filtering with custom Cutadapt workflows and DADA2 calibration, and I’ve built robust sample management systems using R Shiny and SQLite. Before UCSF, I spent several years at Thermo Fisher Scientific developing analytical tools for flow cytometry instruments and maintaining legacy C++ applications. I also contributed to C++ algorithms for haplotype phasing and did Hi-C analysis for cancer genomics research during my graduate studies. My toolset spans across programming, cloud computing, containerization, and workflow management. I'm comfortable working in both research and industry environments, and I thrive at the intersection of biology, computation, and engineering. What I can help you with: * Building and optimizing bioinformatics pipelines (e.g., Nextflow, WDL) * Amplicon sequencing analysis, variant calling, and microbial genomics * Custom R packages, Shiny dashboards, and scientific visualizations * High-performance C++ code for scientific computing * Cloud-native and containerized solutions (Docker, Apptainer) * Data wrangling and statistical analysis in R and Python * Integrating sequencing analysis with database backends (PostgreSQL, SQLite) Whether you're a lab needing help making sense of your sequencing data, a researcher looking to productionize your prototype analysis, or a company needing robust scientific infrastructure, I bring a mix of software engineering and domain-specific knowledge to get your project across the finish line.

"Maria Elisa is a very professional person, with solid skills, I enjoyed working with her. She met all deadlines, and his skills were strong. She develops her work in a rigorous and creative way. I will certainly work with her again if another project arises in her area, I recommend her 100%." "Communicative, clear and precise in what she does. She is quick to respond and succinct, and willing to think big picture while working with detail." Do you need to explore and summarize your data in a simple way? As a graduate in statistics I have worked over the past 10 years with different types of data and varied approaches. Tell me what information you want to analyze or obtain, and let's find the answers that will allow you to make better decisions. Also, if you want to find a mentor to start working through upwork, I would love to guide you step by step. I can teach you all my secrets to be succesfull.