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I am a Data Analyst with strong background in Statistical Analysis, Data Analysis, Data visualization, Survey/Questionnaire Analysis, Linear Regression Analysis, visualization of Data and Predicting Future outcomes with IBM SPSS, Excel. I have been working with Quantitative data, Analysis and Interpretation for over 5 years. I have helped my clients to create Models to forecast their Businesses, I am vast with working on Quantitative Analysis to determine Descriptive Statistics from data, create Charts on Dashboard and a meaningful and detailed report for your Data, use Inferential Statistics(Hypothesis) to know the validity of a claim on a specific Data. I have worked on several projects relating to statistics like Regression Analysis (Econometrics) to know the impact of Annual Gross Domestic Product on Population size and Developed a Model to forecast the GDP for future years(prediction), Analysis of survey questionnaires with respect to the research questions and I have conducted several workshop on IBM SPSS. I am here to offer my skills and experience to help you grow your business and get the best work. I pride myself on delivering quality work within the fastest time possible. If I seem like a match to you, don't hesitate to send me message. I am always open to discussing new project.

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'm a quantitative analyst and statistical programmer with a PhD in mathematics from the University of Wisconsin-Madison. I have experience with Python and R, as well as a working knowledge of SQL. I have a particular interest in social research and policy (for example housing, demography, poverty, education, health), so if you have such a project I'd love to hear from you.

I have worked in semiconductor industry and used R and Python for data analysis. I have built ovder 20 different tools used for data analysis on the semiconductor data. Visualization expert with experience in using ggplot, Plotly, Seaborn, Matplotlib. Expert in Pandas, numpy, Scipy and multiple other libraries in Python. Built multiple dashboards and other automation tools to monitor relevant data. These dashboards have been used by multiple engineers to make decisions worth millions of dollars. Programming languages known: R, Python, JMP and SQL.

Data Analytics Professional with a strong background in statistical analysis, data management, and data visualization within scientific, healthcare, and economic research settings. Highly proficient in R, Python, SAS, SQL, Excel, and advanced visualization tools (Shiny, Power BI, Tableau, Databricks). Proven expertise in automating data workflows, developing interactive applications, and managing large, complex datasets to support rigorous analytical reporting and regulatory submissions. Skilled collaborator with experience translating statistical methodologies into actionable insights for diverse stakeholders, including government agencies and scientific research teams.

I am an experienced and versatile MBA and data analyst with a passion for helping businesses succeed! My strength lies in quantitative analysis and econometrics, and I'm well-versed in statistical techniques such as linear regression, logistic regression, ANOVA, hierarchical linear models, and more. I primarily use R for data analysis (with statistical packages and ggplot2), but I'm also proficient in visualization tools like Tableau, Power BI, and Excel. Here's the tools I use (but not limited to): For analysis; - Spreadsheet for cleaning in Excel, Google Sheet - Analytical/Statistical coding in R - SQL dialect in MySQL, BigQuery, SQL Server - Dashboard with Tableau, Power BI Also I deliver the final product in a consistent format as part of the secured quality. For representation I may use the following tools; - Adobe Illustrator, InDesign - HTML, CSS - Slides with PowerPoint, Canva (I also align with your required format.) In addition to my technical skills, I pride myself on my ability to communicate effectively with clients and deliver tailored solutions that meet their specific needs. Whether you need help with data-driven decision making, digital marketing, finance backend data, statistical data analysis assignments, or any other business challenge, I'm here to help. Let's work together to take your business to the next level!