Your project booster! I'm a fast working dynamic coder and statistician. For research projects, marketing, data management and coding - I bring 15 years of experience consulting to do FAST, REAL work. My daily work is data analysis, programming and research design in academic and corporate settings. building predictive models, leveraging data insights with machine learning and AI. I also run my OWN PERSONAL RESEARCH server, and have set up plenty of Qualtrics, RedCap and other survey and research systems. Statistics: SPSS, JASP, R, Exploratory analyses, Descriptive Statistics, Regressions, ANOVA, MANOVA, Correlations, t-tests, PCA, Bootstrap, Permutation Tests, Interpreting p-values and effect sizes. Machine Learning, Tidymodels, pytorch, GITHUB, git. R Programming: Data mangement, cleaning, extraction, custom scripting, tidyverse, ggplot2, Visualizations: Scatterplots, Time-series, Dotplots, Boxplots, Heatmaps, Distributions, PCA Technologies: AI, github, copilot, gemini, LLMs, prompts, Excel Research Writing: Interpreting results, validating conclusions, writing results in APA style, high quality scientific writing. More about me: I've worked in multiple scientific areas of research, have published articles and reviews, and have worked as a statistics instructor for university classes as well as a graduate mentor, making me an ideal candidate to help you build your own understanding of data analytics. My academic background in Cognitive Science focused on decision making, artificial intelligence, language and performance prompted by theoretical concepts from complex systems and neural networks. I utilize methods of distribution modeling, fractal analysis, timeseries analysis, complex regression, algorithmic model selection and general statistics to analyze data. I have proficiency in MatLAB, SPSS and R.

- I specialize in R and its scientific ecosystem, particularly the tidyverse. - I also have extensive experience with Fortran, especially for performance-intensive tasks. - With more than 12 years working with academic documents in LaTeX, I’ve contributed to theses, research papers, and scientific publications. - I’m skilled at optimizing scientific code, improving both execution time and memory usage through profiling and efficient algorithm design. - I believe that clear and consistent communication is key to delivering top-quality work—let’s keep the conversation going! - My combined expertise in R and Fortran allows me to develop robust, efficient solutions for applications ranging from statistical modeling to numerical simulations. -N8N: My combined experience in programming and editing allows me to build clear, efficient, and reliable automations. I create smart workflows using n8n, designed specifically to meet real business and project needs.

I help colleges, nonprofits, and data-heavy teams turn messy data into clear dashboards and research-backed insights. If you need someone who can build the data pipeline, run the analysis, and explain the results in plain language, I can help. I’m Ryan Tennis, an Institutional Research Analyst with over five years of experience in institutional research, data analytics, and reporting. At the University of Tennessee, I support strategic analysis through dashboard development, retention and graduation reporting, and improvements to data governance. I work with tools like Power BI, SQL, and R to build systems that help academic units and leadership teams make informed decisions. Previously, I led research efforts at Modesto Junior College and the University of the Pacific. My work there included: -Building predictive models to understand retention and completion -Automating reporting workflows so teams were not stuck in manual spreadsheets -Converting static reports into interactive dashboards for leadership and program review These projects helped teams monitor student outcomes, improve internal processes, and align their work with broader institutional goals. I have also trained staff on tools like Power BI, Tableau, Excel, and SQL so departments can maintain their own reports and dashboards. My focus is on solutions that are sustainable and practical, not one-off files that only I can fix. I’m currently pursuing a PhD in Evaluation, Statistics, and Methodology at the University of Tennessee. My research interests line up with the work I do every day, especially around program evaluation, applied statistical methods, and turning complex findings into straightforward recommendations. Outside of my full-time role, I run DataScienceHive.com, where I share examples of my work and offer consulting and training for organizations that want to make better use of their data. On Upwork, I can help with: -Cleaning and structuring data from spreadsheets or databases -Building or improving dashboards in Power BI, Tableau, or Google Sheets -Predictive modeling and outcome analysis in R or Python -Survey and assessment design, scoring, and analysis -Writing clear summaries and reports for non-technical stakeholders I can provide references from directors of institutional research who can speak to the quality and reliability of my work.

Research Publications | AI Development | Data Analysis I'm a Data Scientist with 2+ years of experience in Data Scraping, Data Analysis, Data Visualization, Machine Learning, Deep Learning, Computer Vision, and NLP. I work primarily in Python and R/RStudio. What I Do: 📊 Statistical Analysis, Time Series Analysis, Quantitative & Predictive Analysis 🤖 Designing, developing, and fine-tuning ML/DL models that deliver real impact 🚀 Building models from scratch or optimizing existing ones Background: Currently pursuing a Master's in Data Science with hands-on experience across Machine Learning, Deep Learning, and Advanced Analytics. Technical Skills: Languages: Python 🐍, R 📈 Frameworks: TensorFlow, Keras, PyTorch, Scikit-learn, Hugging Face Transformers, XGBoost, LightGBM, CatBoost, OpenCV, FastAPI, Flask, Streamlit Libraries: NumPy, Pandas, Matplotlib, Seaborn, Plotly, Statsmodels, SciPy Data Tools: Selenium, Scrapy, SQL, Power BI, Tableau, AWS (S3, Glue, Redshift), GCP, Azure ML Others: MATLAB, Git, Docker, Google Earth Engine Project Experience: I've delivered projects across healthcare, finance, computer vision, and geospatial analytics. Some highlights: Built deep learning models for drought prediction using 20 years of satellite data Developed medical image classification systems for cervical cancer detection using DenseNet, ResNet, and EfficientNet architectures Designed sales forecasting pipelines and stock market analysis dashboards with interactive visualizations Created an AI voice assistant for paramedics Built a real-time multi-camera object tracking system Developed a student pressure dashboard powered by D3.js Explored XAI methods (GradCam, SHAP, LIME) for model interpretability Implemented models for churn prediction and match outcome forecasting These projects combine machine learning, deep learning, and data science to deliver practical, impactful solutions. What I Offer: ✅ Machine Learning Models: Build, fine-tune & deploy high-performance ML solutions ✅ Deep Learning Architectures: Custom DL models tailored to your needs ✅ Python Programming: Clean, optimized code for ML & data science tasks ✅ Data Analytics & Visualization: Insightful analysis and compelling visuals ✅ Data Scraping & Parsing: Data extraction using BeautifulSoup, Scrapy, and Selenium Why Work With Me: ✨ Strong expertise in both ML and DL ✨ Clear communication throughout projects ✨ Fast delivery with professional support ✨ Focus on quality and client satisfaction I take pride in delivering solutions that work. My approach is straightforward: build powerful models, provide actionable insights, and ensure clients are happy with the results. Let's Work Together: If you need someone who can take your machine learning projects to the next level, I'm here to help turn your ideas into reality. 🚀

As a freelance professional with a Master's in Science in Statistics, I bring a unique blend of academic knowledge and practical expertise to every project I undertake. With a strong foundation in statistical theory, advanced data analysis techniques and the ability to effectively communicate complex statistical concepts, I am equipped to provide valuable insights and solutions to clients across various industries. My academic journey in pursuing a Master's of Science in Statistics has provided me with a solid understanding of statistical principles and their applications. Through coursework in probability theory, statistical inference, regression analysis, experimental design, and multivariate analysis, I have gained a comprehensive skill set that enables me to tackle diverse data analysis challenges. One of the key aspects of my academic training has been the emphasis on statistical software and programming languages. I have developed proficiency in utilizing tools such as R and Excel to manipulate, analyze, and visualize large datasets. This technical expertise allows me to efficiently process and extract meaningful information from complex data, facilitating evidence-based decision-making for my clients.

As a highly skilled and experienced Python and R developer, bioinformatician, and data scientist, I am passionate about using technology to solve complex problems and uncover insights from large datasets. With a background in Bioengineering degree and data science projects, I have developed expertise in data analysis, visualization, and scripting with Python, R and Bash, and machine learning, including frameworks such as Keras, FastAI, Sklearn, Pytorch and AWS infrastructure. Whether you need help with python scripts, data analysis, bioinformatics, machine learning, or software development, I have the skills and experience to deliver high-quality work that meets your needs. I have a proven track record of delivering projects on time and within budget, and I am always looking for new challenges and opportunities to learn and grow. In addition to my technical skills, I am a clear and effective communicator who is committed to understanding your needs and delivering results that exceed your expectations. I am confident that I can help you achieve your goals and look forward to working with you on your next project.

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 help businesses turn messy data into practical tools for decision-making, especially through R Shiny apps, automated reports, dashboards, and custom analytics workflows. My work is a strong fit for teams that need to build internal tools, automate analysis, clean and structure complex datasets, or turn raw data into clear reporting and forecasting. I work mainly with R, Shiny, Python and Quarto/R Markdown, and I can support projects such as: - Custom R Shiny applications - Interactive dashboards and reporting tools - Automated data cleaning and reporting workflows - Statistical analysis and forecasting - Predictive modeling and machine learning - Text analysis / NLP for research and business use cases I’m comfortable taking projects from data preparation to final delivery, including analysis, app development, visualization, and reporting. My background includes work in public policy, applied analytics, predictive modeling, and custom tools built for real decision-making. If you need help with an R Shiny app, dashboard, automated reporting workflow, forecasting project, or custom data analysis, I’d be glad to discuss your project.

Hi — I’m Mohsin Vindhani, a seasoned technical consultant and full-stack engineer with a multi-disciplinary background in design engineering (IIT Madrasi), industrial IoT, portfolio & real-estate analytics, and open-source R / Python tooling. Over the years I’ve pivoted into cutting-edge AI & agentic-systems, enabling startups and enterprise clients to embed LLMs, chatbots, and intelligent agents into real-world products. My sweet-spot lies at the intersection of LLM-driven product & pipeline design, modern front-end/react architectures, and robust cloud/DevOps infrastructure (AWS, Azure, GCP, containerisation, serverless). Whether you’re building a conversational agent, embedding an LLM into your SaaS, creating tooling for agentic workflows, or deploying full-stack React + Python systems on cloud infrastructure — I bring both breadth and depth. What I bring to the table: Architecture & implementation of intelligent agent systems (LLM orchestration, retrieval-augmented retrieval, vector stores, prompting) Front-end full-stack: React (and ecosystem: Next.js, Typescript), Node/Python back-ends (Flask, FastAPI), API design and microservices DevOps & infrastructure: AWS (RDS, S3, ECS/Fargate, Lambda), Azure SSO integration, Docker/Kubernetes, CI/CD, serverless pipelines Data science & analytics background: Time-series modelling (GARCH, etc.), real-estate & asset-management workflows, social listening/Reddit analytics — which gives me a pragmatic view on building data-driven AI products Startup & consulting mindset: Having founded/co-founded ventures and consulted for multiple verticals (finance, sports analytics, bio-informatics, real-estate development), I know how to deliver from MVP to production, iterate fast, and collaborate with non-technical stakeholders. Why work with me? Because you get more than just a developer — you get a strategic partner who understands product, users, infrastructure, and deployment. I thrive in projects where you want to move fast, embed intelligence, scale reliably, and hand over maintainable systems. I’m comfortable jumping across the stack, owning modules end-to-end, and driving projects to success. Let’s talk about your next milestone: If you’re looking to build conversational agents, agentic workflows, scalable LLM applications, full-stack React systems or sophisticated cloud-native architectures — drop me a message and let’s map out your path from concept to rollout

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.