** 10+ years experience with data manipulating, querying, analyzing, mining and modeling ** Master Degree (3 years) and Bachelor Degree (4 years) in Applied Mathematics and Statistics ** SAS Certified both Base and Advanced Programmer for SAS 9 credentials ** Good at Excel, SPSS, R, MATLAB, etc.

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.

Biostatistician (MSc), equipped with the relevant statistical skills and knowledge. Scope of work. • Study design: sample size estimation and power analysis, proposal writing, statistical analysis plans. • Biostatistics consulting • Health/ medical data analysis: survival analysis, causal inference, longitudinal data analysis, meta-analysis, and network meta-analysis. Pharmacokinetic analysis ( Compartmental, Non-compartmental analysis, bioequivalence) • R and R studio (Posit), STATA, and SAS.

𝟐𝟎𝟎𝟎𝟎+ 𝐇𝐎𝐔𝐑𝐒 | 𝟏𝟎𝟎+ 𝐏𝐑𝐎𝐉𝐄𝐂𝐓𝐒 | 𝟗𝟎𝟎𝐊+ $ 𝐈𝐍 𝐂𝐎𝐍𝐒𝐔𝐋𝐓𝐈𝐍𝐆 𝐑𝐄𝐕𝐄𝐍𝐔𝐄 | 𝟒𝟎+ 𝐅𝐈𝐕𝐄-𝐒𝐓𝐀𝐑 𝐂𝐋𝐈𝐄𝐍𝐓 𝐑𝐀𝐓𝐈𝐍𝐆𝐒 | 𝐃𝐀𝐓𝐀 𝐀𝐍𝐀𝐋𝐘𝐓𝐈𝐂𝐒 𝐄𝐗𝐏𝐄𝐑𝐓 & 𝐁𝐈 𝐂𝐎𝐍𝐒𝐔𝐋𝐓𝐀𝐍𝐓 | 𝟏𝟑+ 𝐘𝐑𝐒 🏆𝗔𝗠𝗢𝗡𝗚 𝗧𝗢𝗣 𝟏% 𝗗𝗔𝗧𝗔 𝗔𝗡𝗔𝗟𝗬𝗦𝗧𝗦 𝗢𝗡 𝗨𝗣𝗪𝗢𝗥𝗞 𝗚𝗟𝗢𝗕𝗔𝗟𝗟𝗬🏆 As a 𝐁𝐈 & 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘀𝘁 with over 𝟏𝟑+ 𝘆𝗲𝗮𝗿𝘀 𝗼𝗳 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲, I bring expertise in 𝗧𝗮𝗯𝗹𝗲𝗮𝘂, 𝗣𝗼𝘄𝗲𝗿 𝗕𝗜, 𝗔𝗹𝘁𝗲𝗿𝘆𝘅 & 𝗗𝗼𝗺𝗼 to help businesses unlock the full potential of their data. Whether it's creating insightful dashboards or automating data workflows, I focus on turning raw data into easy-to-understand insights that drive informed decision-making. With a deep understanding of both front-end & back-end data processing, I ensure that every visualisation is not only aesthetically pleasing but also functionally effective. I have had the privilege of working with 𝟏𝟎𝟎+ 𝗰𝗹𝗶𝗲𝗻𝘁𝘀 , delivering tailored solutions that cater to their unique needs. From creating dynamic, interactive reports in Power BI to automating complex data workflows in Alteryx, my goal is to simplify complex data stories. My clients appreciate my ability to communicate technical details in a clear, understandable manner, making the entire process smooth & collaborative. With over 𝟒𝟎+ ⭐⭐⭐⭐⭐ 𝗿𝗮𝘁𝗶𝗻𝗴𝘀, I am proud to have built a reputation for reliability, precision, and delivering results that exceed expectations. Whether you're looking to enhance your data strategy or build a dashboard from scratch, I’m here to provide solutions that make your data work for you ! 🕒 Preferred Time Zone: Eastern (𝗘𝗦𝗧) ⏰ 💼 Experience: I have 13+ years of creating 2000+ dashboards with versatility in a wide range of industry-leading dashboarding tools. 𝗗𝗔𝗦𝗛𝗕𝗢𝗔𝗥𝗗𝗜𝗡𝗚 1. 𝗧𝗮𝗯𝗹𝗲𝗮𝘂 – Advanced interactive dashboards and data visualization 2. 𝗣𝗼𝘄𝗲𝗿 𝗕𝗜 – Custom, dynamic reporting and real-time data dashboards 3. 𝗔𝗹𝘁𝗲𝗿𝘆𝘅 – Data preparation, blending, and automated workflows 4. 𝗗𝗼𝗺𝗼 – Cloud-based platform for business intelligence and real-time dashboards 5. 𝗘𝘅𝗰𝗲𝗹 – Data analysis, pivot tables, and charting for quick dashboards 6. 𝗚𝗼𝗼𝗴𝗹𝗲 𝗗𝗮𝘁𝗮 𝗦𝘁𝘂𝗱𝗶𝗼 – Real-time dashboarding with Google services integration 7. 𝗤𝗹𝗶𝗸𝗩𝗶𝗲𝘄/𝗤𝗹𝗶𝗸 𝗦𝗲𝗻𝘀𝗲 – Data discovery for business insights 8. 𝗟𝗼𝗼𝗸𝗲𝗿 – Cloud-based data analytics and visualization platform I have proficiency in handling large-scale data processing and storage solutions, from traditional relational databases to modern cloud and big data technologies. 𝗗𝗔𝗧𝗔 𝗪𝗔𝗥𝗘𝗛𝗢𝗨𝗦𝗜𝗡𝗚 1. Amazon Redshift – Scalable cloud data warehousing for big data analytics 2. Google Big Query – Fully-managed data warehouse with real-time analytics 3. Snowflake – Cloud-based data warehouse with elastic scaling 4. Microsoft Azure Synapse Analytics – Unified analytics platform with data warehousing 5. SQL Server – On-premise & cloud-based relational database for data warehousing 6. Oracle Exadata – High-performance database solution for large-scale data warehousing 7. PostgreSQL – Open-source relational database often used in warehousing solutions 𝗗𝗔𝗧𝗔 𝗠𝗔𝗡𝗔𝗚𝗘𝗠𝗘𝗡𝗧 1. ETL 2. Data Mining 3. Data Fetching 4. Oracle Database 5. Google Analytics 6. Social Media Analytics Project Delivery Methodology 🎯Assessment & Planning | 📊Data Analysis & Gathering | ✏️Design & Prototyping | 🛠️Development & Implementation | 🧪Testing & Quality Assurance | 🤝Client Collaboration & Feedback | 📘Training & Documentation | 🌱Knowledge Sharing & Best Practices Global Markets & Industries of Work: - Government & Public Sector - Abu Dhabi & Dubai Government Clients - Finance & Banking - US Clients - Healthcare - US Clients - Retail & E-commerce - European Clients - Marketing & Advertising - Australian & APAC Region Clients - Telecommunications - MENA Region Clients - Manufacturing - US Clients - Education - EMEA Region Clients 𝗧𝗔𝗚𝗦 #BusinessIntelligence #DataAnalytics #DataVisualization #Tableau #PowerBI #QlikView #Klipfolio #Domo #GoogleDataStudio #Sisense #AWSQuickSight #Looker #Strategy #SAPBusinessObjects #IBMCloudPak #ETL #DataEngineering #DataScience #SQL #Snowflake #Oracle #BigData #DataMining #MachineLearning #BusinessReporting #DashboardDesign #DataStorytelling #PredictiveAnalytics #DataWarehouse #DataInsights #VisualizationExpert #Analytics #SelfServiceBI #DataReporting #DataDriven #Visualization #KPI #Metrics #PerformanceManagement #AnalyticsConsultant #DataQuality #DataManagement #TableauExpert #PowerBICertified #DataAnalysis #DataStrategy #DataGovernance #CloudAnalytics #BusinessAnalysis #BIConsultant #Tableau #TableauCertified #Snowflake #Klipfolio #QlikView #Domo #GoogleDataStudio #Sisense #AWSQuickSight #AzureDataFactory #AWSGlue #Integromat #Knime #SQLServer #Oracle #Hadoop #MongoDB #PostgreSQL #DataVisualization

I am a senior biostatistician and have participated in more than 50 international clinical trials from phase 1 to 4 for drug studies and pre- and post-market medical device studies in (Oncology, Ophthalmology, Respiratory Disease, Chronic Pain, Allergology, Chronic inflammation, Wound care, Aesthetic Medicine, COVID-19, etc.). I have successfully supported regulatory approvals for Phase III drug studies, as well as FDA 510k approval for medical device. SAS, R programming are my tools, machine learning algorithms are also a powerful means for data exploration and analysis, and solid statistical knowledge and an aggressive attitude are my cornerstones.

𝗔𝘃𝗮𝗶𝗹𝗮𝗯𝗹𝗲 𝘁𝗼𝗱𝗮𝘆 May 5 💡 𝐅𝐫𝐞𝐞 𝟑𝟎-𝐦𝐢𝐧 𝐬𝐭𝐫𝐚𝐭𝐞𝐠𝐲 𝐜𝐚𝐥𝐥: I’ll show you how to unify Power BI, SQL, ETL, and warehouse reporting into one trusted source of truth. Get answers in minutes, remove manual reporting, and give leadership real-time visibility. I’m a Business Intelligence Specialist with over 12 years of experience designing, building, and optimizing enterprise-grade data systems. I specialize in cloud architecture (AWS, GCP, Azure), data warehousing, and BI solutions that help businesses unlock insights, cut costs, and scale with confidence. I’ve delivered projects across 𝐟𝐢𝐧𝐚𝐧𝐜𝐞, 𝐡𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞, 𝐞-𝐜𝐨𝐦𝐦𝐞𝐫𝐜𝐞, 𝐚𝐧𝐝 𝐫𝐞𝐬𝐞𝐚𝐫𝐜𝐡, with a strong focus on security, performance, and business impact. 𝐇𝐞𝐫𝐞’𝐬 𝐖𝐡𝐚𝐭 𝐈 𝐂𝐚𝐧 𝐃𝐨 𝐅𝐨𝐫 𝐘𝐨𝐮: - Design and implement data warehouses and lakes using best practices (Kimball, BIML, SQL Server, Snowflake). - Develop ETL/ELT pipelines with SSIS, Python, and cloud-native tools for reliable, automated data flows. - Build interactive dashboards and analytics in Power BI, helping teams move from raw data to actionable insights. - Run security reviews and cost optimization across cloud platforms to reduce spend without compromising performance. - Deliver custom CRM and analytics solutions tailored for industries like pharma, pensions, and financial services. 𝐒𝐤𝐢𝐥𝐥𝐬 𝐓𝐡𝐚𝐭 𝐌𝐚𝐭𝐭𝐞𝐫: - Cloud & DevOps: AWS, GCP, Azure, Terraform, CI/CD, GitHub - Data Engineering & Warehousing: SQL Server (SSIS, SSAS, SSRS), Snowflake, Data Lakes, Kimball Methodology - Analytics & BI: Power BI, DAX, SQL, Python - Security & Optimization: Cloud security reviews, cost reduction strategies 𝐓𝐨𝐨𝐥𝐬 𝐈 𝐔𝐬𝐞 Power BI, SQL Server, Python, Snowflake, Terraform, AWS, GCP, Azure, React, React Native, GitHub CI/CD, SSIS, SSAS, SSRS 𝐖𝐡𝐚𝐭 𝐂𝐥𝐢𝐞𝐧𝐭𝐬 𝐒𝐚𝐲 “Delivered a payment processing solution handling £10M+ monthly transactions with zero downtime. Reliable, detail-oriented, and excellent communicator - will rehire for our next project.” If your dashboards are unclear, your data pipelines fragile, or your cloud costs out of control, I’ll fix that. 📩 𝐒𝐞𝐧𝐝 𝐦𝐞 𝐚 𝐦𝐞𝐬𝐬𝐚𝐠𝐞, 𝐚𝐧𝐝 𝐰𝐞’𝐥𝐥 𝐛𝐨𝐨𝐤 𝐲𝐨𝐮𝐫 𝐟𝐫𝐞𝐞 𝐬𝐭𝐫𝐚𝐭𝐞𝐠𝐲 𝐜𝐚𝐥𝐥.

Your spreadsheet won't survive ten minutes with a serious investor. I fix that. PhD economist, 20 years building financial models across energy, mortgage, and finance. I build investor-ready deliverables: scenario modeling with controlled inputs, sensitivity analysis, audit-safe outputs that survive scrutiny. When you sit across from an investor, you're not guessing. You know your numbers, and you can prove them. --- What I Build: Financial Models & Scenario Tools Modular architecture with controlled assumptions. Sensitivity analysis, stress testing, audit-safe exports. Excel/VBA or Python - whatever fits your stack. Dashboards & Stakeholder Reporting Power BI and Excel dashboards with dynamic visuals, role-based views, and clear summaries. DAX modeling for financial metrics and risk scoring. Data Pipelines & Automation Python ETL pipelines, batch processors, API integrations. SQL/Oracle reporting with skip/resume logic and error resilience. Econometric Analysis Regression models (OLS, GLM, VAR, GARCH, panel, time series), forecasting, diagnostic reporting. R or Python with reproducible workflows. --- Tools: Python, R, SQL, Excel/VBA, Power BI, Oracle, Streamlit, Shiny Sectors: Energy, Mortgage, Financial Services --- If you need a model you can defend in the room, let's talk.

👋 Hi, I’m Joseph Mburu Nuthu — a Certified Data Analyst and Statistician with over 6 years of experience helping students, researchers, and professionals make sense of their data through quantitative research and statistical analysis. Whether you need support with your academic thesis, dissertation, survey analysis, or a professional research report, I’m here to deliver precise, reliable, and well-documented results. 🎯 What I Offer: Survey Design & Analysis – Crafting reliable questionnaires and performing descriptive and inferential analysis. Statistical Analysis – T-tests, ANOVA, correlation, chi-square, regression, reliability testing, factor analysis, and more. Academic Research Support – Full assistance with methods, analysis, and results chapters following APA, Harvard, and other styles. Data Cleaning & Preparation – Organizing and validating your dataset for accurate analysis. Interpretation & Reporting – Clear explanation of findings with visual aids such as charts and tables. 🧪 Tools I Use: SPSS, R, RStudio, SAS, Minitab, Excel, JAMOVI, JASP, SmartPLS, AMOS, STATA 📚 Fields of Expertise: Public Health, Psychology, Education, Business, Economics, Environmental Studies, and other social sciences. 💡 Why Clients Choose Me: Strong academic and applied statistics background (PhD in Statistics) Timely delivery and clear communication Accurate, publication-ready outputs Proven track record on Upwork with consistent 5-star reviews 📈 Whether you're a student working on a dissertation, a researcher analyzing survey data, or a professional needing expert statistical support, I’m ready to help you turn data into insight. Let’s collaborate and make your research a success!

I am an Applied AI & Machine Learning Consultant with a strong background in data analytics, predictive modeling, statistical analysis, and decision support systems. My experience spans finance, lending, capital markets, marine analytics, retail, and business intelligence, where I have developed data-driven solutions that improve forecasting accuracy, automate analytical workflows, and support strategic decision-making. My core expertise lies in transforming raw data into actionable insights through data preparation, feature engineering, statistical modeling, machine learning, and interactive analytics. I enjoy working on challenging analytical problems, particularly those involving predictive modeling, time-series forecasting, risk assessment, and large-scale structured datasets. My focus is always on building practical, production-ready solutions rather than purely theoretical models. I have hands-on experience developing regression, classification, ensemble learning, and forecasting models using Python and R. My work includes model selection, hyperparameter optimization, feature engineering, model validation, explainability, performance monitoring, and deployment-ready analytics pipelines. I am comfortable working with algorithms such as XGBoost, LightGBM, CatBoost, Random Forest, Gradient Boosting, Logistic Regression, Elastic Net, Support Vector Machines, Neural Networks, and time-series techniques including ARIMA and GARCH, while selecting the most appropriate approach based on business objectives and data characteristics. My experience also includes financial and quantitative analytics, where I have built predictive models and analytical dashboards for mortgage-backed securities, probability of default, options analytics, stock market analysis, foreign exchange research, and market intelligence. These projects strengthened my understanding of financial datasets, feature engineering for market data, risk modeling, and the importance of robust validation techniques for real-world decision making. Beyond predictive modeling, I develop interactive analytical applications and dashboards using Streamlit and R Shiny, enabling stakeholders to visualize complex datasets, monitor model outputs, and interact with analytics through intuitive web-based interfaces. My technical toolkit includes Python (Pandas, NumPy, Scikit-learn, XGBoost, LightGBM, CatBoost, TensorFlow, PyTorch, SciPy, Statsmodels, Plotly, Streamlit, FastAPI), R (tidyverse, caret, glmnet, forecast, Shiny), SQL, Power BI, Tableau, Git, Jupyter Notebook, Google Colab, and cloud-based analytics environments. I also recently expanded my expertise into modern AI applications, prompt engineering, AI workflow automation, agentic AI, AI productivity systems, and practical enterprise adoption of Generative AI technologies. This complements my existing machine learning experience by helping organizations combine traditional predictive analytics with modern AI-powered workflows. I believe AI should be applied thoughtfully. I use classical statistical and machine learning methods when they provide the best predictive performance, and leverage Generative AI where it genuinely improves productivity, automation, knowledge extraction, or decision support. My approach emphasizes explainability, reproducibility, robust validation, and solutions that deliver measurable business value. Whether the objective is predictive analytics, statistical modeling, machine learning, AI-assisted automation, financial analytics, business intelligence, or interactive dashboards, I enjoy collaborating with clients to build scalable, reliable, and data-driven solutions that solve real business problems.

Do you need help analysing public health or research data and presenting the results clearly? I work in public health research, biostatistics, and epidemiology, and I have over 3 years of experience working with research and health related data. I support researchers, NGOs, and students by helping them analyse data correctly and explain the results in a clear and simple way. I work with tools such as R, Stata, SPSS, ATLAS.ti, SAS, EViews, Excel, Tableau, and REDCap, depending on the needs of the project and the type of data involved. Here is what I can help you with: ✅ Data cleaning and data preparation ✅ Biostatistics and epidemiological analysis ✅ Public health and medical research analysis ✅ Survey data analysis ✅ Clinical trials data analysis ✅ Survival analysis, including Kaplan Meier curves and Cox regression ✅ Systematic reviews and meta analysis ✅ Tables, figures, and clear result summaries I communicate clearly, ask the right questions, and keep the process simple and organised. If you already have data, I can start right away. If you are still unsure about the analysis, I can help you think it through step by step. I will be happy to discuss your project and see how I can help.