Hi! I'm a Data Scientist and AI Developer with 10+ years of experience building intelligent, data-driven solutions that drive measurable business outcomes. I specialize in the full AI and data lifecycle - from cloud infrastructure and app development to advanced analytics and machine learning deployment. My expertise spans: * AI & Machine Learning: Custom model development and deployment * Cloud & App Development: Scalable web applications, API development, and cloud architecture (GCP) * Data Engineering: Collection, processing, and pipeline automation (APIs, web scraping, document parsing) * Advanced Analytics: Statistical modeling, predictive analytics, and business intelligence Data Visualization: Interactive dashboards and executive reporting (Tableau, Shiny, custom web apps) * Full-Stack Development: End-to-end solutions from backend data systems to user-facing applications Technical toolkit includes: Python, R, SQL, JavaScript, cloud platforms, Docker, various ML frameworks, and modern web technologies. What sets me apart: I don't just analyze data - I build complete, production-ready systems that solve complex business problems. Whether you need an AI-powered application, a comprehensive data strategy, or automated workflows that save hours of manual work, I deliver solutions that create lasting value. Ready to transform your data challenges into competitive advantages? Let's discuss your project.

I’m a biostatistician and statistical programmer with four years of experience transforming messy, complex datasets into clear, actionable insights. Whether you're a startup needing dashboards, a small business looking to make sense of your customer data, or a researcher needing statistical analysis, I'm here to help. My toolbox includes: - Languages & Tools: R, SAS, Python, SQL, and Excel - Skills: Data wrangling, visualization, statistical modeling, automation, reporting - Experience: Survey data, time-series, A/B testing, dashboards, public health data, and more I’m especially good at: - Cleaning and structuring raw data to make it analysis-ready - Building intuitive dashboards and data visualizations - Running regression models, classification algorithms, and predictive analytics - Writing clear, understandable reports—even for non-technical audiences - Delivering on tight deadlines with a collaborative, responsive approach 📌 Bonus: I’m bilingual (English & Spanish), detail-oriented, and love solving problems that others find overwhelming. Let’s turn your data into decisions. Reach out and let’s chat about your project!

I am a professor of economics at Seattle University (previously California State University Fullerton) with a PhD in economics from the University of Washington. I specialize in microeconomics and quantitative analysis, especially using observational data (although I have my share of experiment design experience as well). I have tons of experience with Python, Stata, and especially R. I have written packages that are publicly available in all three languages. I can help with research design, analysis, and data cleaning/preparation, either for projects that use observational administrative or government data, or for experimental design. I have plenty of experience working with both academic and private-sector work, and have spent years doing consulting for finance projects in VC and PE. Finally, I do plenty of work helping people edit or revise their research writing. As of this writing, I have more than 20 published papers in applied economics and econometrics, and many more in the pipeline. I have extensive experience as a mentor and tutor helping people with their own class projects, theses, dissertations, or nonacademic research projects. I have many years of teaching and tutoring experience. I am a full-time professor, and am looking for supplementary work in order to save up for some major purchases. What I don't do: Please note that I am an economist, not a financier or businessperson. I am unlikely to be able to help you design investment plans, business operations, or a blockchain white paper. Hourly rate can be negotiated depending on the project.

I work with companies that need clean reports, reliable spreadsheets, and better data organization. Most of my projects involve fixing Excel files, automating reports, or building dashboards for finance and operations teams. I have experience working with Excel, SQL, and Power BI to create reports that are accurate and easy to maintain. Many clients come with files that became too complex over time, so I usually rebuild them in a simpler and more stable way. I’ve worked with financial reports, forecasting, budget tracking, and business performance data, so I understand how important it is to keep numbers consistent and clear. 🏆 Typical work I help clients with: 🔑 Excel automation and reporting tools 🔑 Financial models and forecasting sheets 🔑 Power BI dashboards 🔑 SQL queries and data cleanup 🔑 Budget and cost analysis 🔑 Monthly / weekly reports 🔑 Power Query transformations 🔑 Fixing broken spreadsheets 🔑 KPI and performance reports I focus on building tools that save time, reduce manual work, and make reports easier to use.

I’m a dedicated Data Analyst and Visualization Expert with a passion for transforming raw data into actionable insights. Specializing in Excel, Power BI, and SQL, I deliver compelling, data-driven solutions for businesses and organizations. My mission is to provide clear, impactful results that empower strategic decisions. I thrive on solving complex data challenges, uncovering trends, and presenting findings through stunning visualizations. When I’m not analyzing data, I’m exploring new BI tools ☕📊. What I Offer Data Analysis & Modeling: Leveraging Excel and SQL for in-depth analysis, trend identification, and predictive insights. Data Visualization: Creating interactive, user-friendly dashboards and reports in Power BI to drive decision-making. Database Management: Designing and querying databases with SQL for efficient data retrieval and accuracy. Reporting & Insights: Transforming complex datasets into concise, visually engaging reports tailored for stakeholders. Industries Served: Healthcare, finance, retail, and education. Why Choose Me? With a proven track record in end-to-end data analysis, I combine technical expertise in Excel, Power BI, and SQL with a client-focused approach. My skills in data visualization and analytics deliver reliable, high-quality outcomes. Whether you need a dynamic dashboard, detailed report, or data-driven strategy, I ensure precision, clarity, and impact. I pride myself on strong communication, attention to detail, and exceeding client expectations. 🚀 As a full-time freelance Data Analyst, I’m ready to tackle your data visualization, reporting, or analytics project. Message me today to discuss your needs, and let’s create impactful insights together! 💼📈

I’m a Japanese freelancer with a strong focus on data analysis and data-driven problem solving, supported by hands-on experience with Python, R, and Microsoft tools.

Hello, My job is to turn raw data into purified insights. I apply statistics, machine learning and analytic approaches to solve critical business problems. My main function is to help organizations turn their volumes of big data into useful and actionable insights. Skills: statistics, data munging, data visualization, exploratory data analysis, Tools: R, SAS, SPSS, Tableau, Microsoft Excel, SQL, LaTeX, Markdown, R Shiny I pride myself on ensuring that all my work is error-free and completed in the shortest time. I look forward to building a strong long-term relationship with all of my customers.

𝗜𝗳 𝘆𝗼𝘂 𝗻𝗲𝗲𝗱 𝗵𝗶𝗴𝗵-𝗾𝘂𝗮𝗹𝗶𝘁𝘆 𝗮𝗻𝗮𝗹𝘆𝘀𝗶𝘀 𝘄𝗶𝘁𝗵 𝗰𝗹𝗲𝗮𝗿 𝗱𝗲𝘀𝗰𝗿𝗶𝗽𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝘃𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗶𝗻𝘀𝗶𝗴𝗵𝘁𝘀, 𝗺𝗲𝘁𝗵𝗼𝗱𝗼𝗹𝗼𝗴𝗶𝗰𝗮𝗹 𝘀𝘂𝗽𝗽𝗼𝗿𝘁/𝘀𝗲𝗰𝗼𝗻𝗱 𝘃𝗶𝗲𝘄 𝗳𝗼𝗿 𝗰𝗼𝗺𝗽𝗹𝗲𝘅 𝗮𝗻𝗮𝗹𝘆𝘀𝗶𝘀/𝗽𝗿𝗼𝗯𝗹𝗲𝗺𝘀, 𝗰𝗹𝗲𝗮𝗿 𝗽𝗮𝘁𝘁𝗲𝗿𝗻 𝗮𝗻𝗱 𝗶𝗻𝘀𝗶𝗴𝗵𝘁𝘀 𝗳𝗿𝗼𝗺 𝘆𝗼𝘂 𝗱𝗮𝘁𝗮 - 𝘆𝗼𝘂'𝘃𝗲 𝗰𝗼𝗺𝗲 𝘁𝗼 𝘁𝗵𝗲 𝗿𝗶𝗴𝗵𝘁 𝗽𝗹𝗮𝗰𝗲. rich experience; attention to details; timely completion; clear insights, basic and advanced analysis/statistics/visualisation for business and academic purposes; 12 years experience, 200+ successful projects, each client was satisfied. I serve both 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗮𝗻𝗱 𝗮𝗰𝗮𝗱𝗲𝗺𝗶𝗰 𝗰𝗹𝗶𝗲𝗻𝘁𝘀 providing analysis based on the most suitable approaches and tests. 𝗜 𝗮𝗹𝘄𝗮𝘆𝘀 𝘁𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺 𝗱𝗮𝘁𝗮 𝗶𝗻𝘁𝗼 𝗮𝗰𝘁𝗶𝗼𝗻𝗮𝗯𝗹𝗲 𝘀𝘁𝗼𝗿𝗶𝗲𝘀 𝘄𝗶𝘁𝗵 𝗰𝗹𝗲𝗮𝗿 𝗱𝗲𝗰𝗶𝘀𝗶𝗼𝗻 𝗽𝗼𝗶𝗻𝘁𝘀. All my clients receive comprehensive support: full documentation, visualization, and ongoing assistance. In addition for 𝗮𝗰𝗮𝗱𝗲𝗺𝗶𝗰 𝗰𝗹𝗶𝗲𝗻𝘁𝘀 𝗜 𝗽𝗿𝗼𝘃𝗶𝗱𝗲 𝗿𝗼𝗯𝘂𝘀𝘁 𝗮𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝗮𝗹 𝘀𝘂𝗽𝗽𝗼𝗿𝘁 𝗳𝗼𝗿 𝗿𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗶𝗻𝗰𝗹𝘂𝗱𝗶𝗻𝗴: Clinical trial analysis; Dissertation and thesis statistical analysis; Preparation for peer-reviewed publications and handling reviewers’ comments; Research design consultation; Complex analysis according to all academic standards with documentation. 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀 𝘁𝗼𝗼𝗹𝘀: R (primary),Excel, Python, SPSS, Stata, EViews Visualization: Excel, Power BI, Tableau. 𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻: Survey Analysis, SEM, CFA, EFA, Multigroup CFA, Regression Analysis, Moderation, Mediation, Time Series, Predictive Modeling, Cluster Analysis, Churn/retention, Sales forecasting, demand prediction, Market segmentation, Customer behavior analysis, Performance metrics, KPI development and many other. I consistently go beyond the initial scope to extract maximum insights, identifying patterns that provide additional value. Every analysis includes clear explanation of methodologies and results, ensuring you can confidently use the findings. 𝗟𝗲𝘁'𝘀 𝗱𝗶𝘀𝗰𝘂𝘀𝘀 𝘆𝗼𝘂𝗿 𝗻𝗲𝗲𝗱𝘀. 𝗜 𝗮𝗹𝘄𝗮𝘆𝘀 𝘄𝗶𝗹𝗹 𝗳𝗶𝗻𝗱 𝗮 𝘄𝗮𝘆 𝘁𝗼 𝗵𝗲𝗹𝗽 𝘆𝗼𝘂.

📢 Graduate with a major in statistics who is skilled in data analysis and interpretation of results. 📢 Experienced in academic writing in several scientific fields (Biostatistics, Education, Psychology, Economic, Healthcare, and other fields) 📢 Methods of data analysis that I am capable of performing: ✔ Descriptive Analysis, Chi-square test, ANOVA test, and t-test ✔ Regression Analysis (Multiple Regression Analysis, Binary Logistic Regression, Ordinal Logistic Regression, Multinomial Logistic Regression, Panel Data regression, and Regression with Mediation and Moderation variable) ✔ Path analysis and Structural Equation Model (SEM) using AMOS and SmartPLS ✔ Cluster Analysis (Hierarchical Clustering and non hierarchical clustering/K-means clustering) ✔ Fuzzy method and many more 📢 Data analysis software that I prefer: ✔ R ✔ SPSS ✔ E-Views ✔ AMOS and SmartPLS ✔ Minitab ✔ Excel ✔ Stata 📢 Academic writing and consultation: ✔ Thesis based on quantitative data (no qualitative data) ✔ Statistical Methods ✔ Learn SPSS or another software that I've mentioned. 📢 WHY CHOOSE ME? ✔ Responsiveness: You can reach me anytime, I have the Upwork app on my phone to make it easy to stay in contact with my client. ✔ Responsibility: Completing the work before the deadline and making it available for revision ✔ Good communication skill ❤ One of the reviews by the client: "This freelancer is very professional and meets the deadline perfectly."

Top Rates Plus - awarded to the top 3% of Upwork freelancers! Experienced Senior Statistical Programmer with over 8 years of expertise in clinical trials and pharmaceutical research across therapeutic areas including oncology, cardiology, dermatology, gastroenterology, neurology, hematology, Real World Evidence (RWE), peptides and vaccines studies. Strong leadership capabilities in coordinating programming activities and timelines across multiple studies in phases I-IV. Dedicated to maintaining data integrity and supporting efficient clinical trial operations. Proficient in the development of statistical computing environments and serving as a clinical trials subject matter expert (SME) for software development companies supporting clinical research solutions. For a detailed overview of my hands-on responsibilities and real-world contributions, please refer to the Employment section, which outlines how this expertise has been applied across clinical trial development and pharmaceutical research projects. I hold Bachelor of Data Science degree from the American University of Armenia. My educational background, combined with hands-on experience, has equipped me with a robust skill set and a deep understanding of statistical methodologies and programming languages relevant to the clinical trials domain. My technical skills include proficiency in: SAS Programming (Advanced Level Certified, see in the 'Certifications' section): • Advanced SAS/BASE, SAS, SQL, SAS/MACRO, SAS/GRAPH, SAS/STAT, SAS/PROC, ODS output • SAS Viya (cloud version), Integration with R and Python, SAS Visual Analytics • Arrays, Hash Objects, Advanced Indexing, Memory Management • Handling large and complex datasets with efficient I/O and parallel processing techniques • Advanced macro writing, debugging and dynamic code generation, nested and recursive macros • Git/version control tools R Programming: • Clinical packages - pharmaverse, admiral, sdtmoak, tfrmt, gtsummary, PKNCA • Data manipulation and transformation - tidyverse, dplyr, tidyr, purrr, stringr, lubridate, tibble (implicit), readr (implicit) • Data visualization - ggplot2, plotly, gtsummary (dual-purpose), gt, flextable, patchwork, cowplot • High-quality analytical reports - rmarkdown, knitr, quarto • Interactive dashboards and applications using R Shiny Python Programming: • Python core (data types, control flow, functions, modules), NumPy, pandas, SciPy. • Clinical data processing with pandas (joins, reshaping, group summaries, derivations comparable to SDTM/ADaM workflows). • Integration with SAS and R (reading/writing SAS datasets via pyreadstat, interoperability for QC and validation). • Data visualization and reporting (matplotlib, seaborn, Excel/CSV outputs, automated report generation). • Advanced data handling (vectorization, memory optimization, chunked processing, handling large datasets). • Statistical analysis in Python (descriptive statistics, hypothesis testing, regression, survival analysis using lifelines). • Validation and quality control frameworks (independent QC of SAS outputs, data consistency checks, audit-friendly logs). • Unit testing and code quality (pytest, structured logging, reproducible environments). • Metadata and XML processing (Define-XML handling, CDISC metadata validation using xml/lxml). Power BI & Business Intelligence: • Design and development of interactive Power BI dashboards for exploratory and operational analytics • Data modeling using Power BI semantic models, relationships, and star-schema concepts • Data transformation and preparation using Power Query (M language) • KPI development, filters, drill-downs, and slicers for executive-ready reporting • Integration with multiple data sources (CSV, Excel, SQL databases, APIs) • Performance optimization for large datasets (model size, relationships, DAX efficiency) • Secure sharing and collaboration using Power BI Service Project Management: Working with Jira, Scrum, GitHub Microsoft Office tools: Microsoft Word, Excel, PowerPoint, Access, Outlook Driven by a passion for continuous learning and a collaborative spirit, I am known for my easy-going demeanor and my ability to thrive in team environments within the clinical trials field. I approach each project with dedication and attention to detail, consistently delivering results that exceed expectations and contribute to the advancement of clinical research.