Hire the Best IBM SPSS Specialists
in the United States

With a Ph.D. in Industrial/Organizational Psychology and a Master's in Applied Statistics and Data Analytics, I bridge data science and organizational strategy. I specialize in turning complex, multi-source data into clear, defensible insights that support decision-making across business, HR, research, and financial contexts. I've worked with performance, sales, engagement, and survey datasets to develop KPIs, surface patterns, build predictive models, and automate reporting pipelines that produce clean, branded outputs. I also do independent validation and methodological review, pressure-testing survey instruments, models, and AI-generated data to tell clients honestly where the work holds up and where it doesn't. My toolkit spans data cleaning, visualization, and predictive modeling in Python, R, SQL, and Excel, with deep experience in survey design, psychometrics, and text analytics. I can help you with: *Data Cleaning, Validation & Integration – Building reliable, analysis-ready datasets from multiple sources. *Validation & Methodological Review – Independent benchmarking, psychometric and content validation, and honest assessment of frameworks, assessments, and meausres. *KPI & Dashboard Development – Defining and visualizing performance metrics that align with strategy. *Survey Design & Workforce Analytics – Designing and analyzing surveys for employee experience, leadership, and DEI. *Predictive & Statistical Modeling – Regression, SEM, and machine learning for forecasting and insight. *Data Storytelling & Strategy – Turning analytics into narratives and recommendations for executives and teams. My goal is simple: to make analytics practical, reliable, and strategic, helping organizations turn data into smarter action.

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.

With a background in Experimental Psychology and a passion for making sense of data, I offer comprehensive assistance in a wide range of areas. From organizing and formatting documents to developing and executing research projects, I bring expertise in data analysis using IBM SPSS, Python, and R. Additionally, I specialize in data visualization and Excel-based tasks such as creating dynamic dashboards and utilizing advanced functions like Pivot tables. With my keen eye for detail and extensive knowledge of Qualtrics, I can assist in designing effective surveys. Let me help you bring your projects to life, ensuring accuracy, clarity, and impactful presentation. Invite me to your project to get the conversation started. Keywords: psychology, research, proofreading, IBM SPSS, R, PowerPoint, Excel, Qualtrics, survey design, data visualization, data analysis, Excel dashboard, Pivot tables, document formatting. *Note to Clients: I currently only accept invitations to submit a proposal when you have a verified payment method. Please do so prior to reaching out. This is how I filter out spam requests. Thank you for understanding.*

STATISTICAL ANALYSIS | DATA SCIENCE | AI AUTOMATION | 100% JOB SUCCESS | BUSINESS AND SURVEY ANALYSIS | Market Research and analysis Hey I'm Amy, thank you for visiting my page. I help businesses, researchers, and organizations maximize their spreadsheets into executive-level insights and automated systems. If you have data but don’t have the answers, or you have a manual process that is costing you time, those are the kinds of challenges i like. Whether you are a researcher with complex survey results or a business owner with spreadsheets you don’t want to look at, I can help you transform those numbers into actionable strategies. I specialize in high-stakes statistical analysis and custom automation that saves you hours of manual work. The clients I work with most often: 1. Academic researchers & PhD candidates: You have gathered your data but need expert SPSS analysis, hypothesis testing, regression modeling, ANOVA, and publication-ready reporting. 2. Business operations teams that need large, complex Excel datasets cleaned, organized and turned into dashboards or reporting systems 3. Operation managers and teams that want to automate their workflows using n8n, ClickUp, AI-assisted processes, or Asana without manual entry. 4. Survey designers looking to move beyond "vanity metrics" to understand the why behind consumer or patient behavior. 5. Health & Social Science firms that need predictive modeling (Regression, Clustering) to forecast trends and outcomes. I have worked across research, healthcare, business operations etc., to provide insights, automate processes and help clients move from disconnected spreadsheets and manual workflows to scalable systems and analytics. Some reviews from previous clients . . “𝗔𝗺𝘆 𝗶𝘀 𝗱𝗶𝗹𝗶𝗴𝗲𝗻𝘁, 𝘁𝗶𝗺𝗲𝗹𝘆, 𝗮𝗻𝗱 𝗮 𝗴𝗿𝗲𝗮𝘁 𝗰𝗼𝗺𝗺𝘂𝗻𝗶𝗰𝗮𝘁𝗼𝗿. 𝗦𝗵𝗲 𝘄𝗮𝘀 𝗲𝗮𝘀𝘆 𝘁𝗼 𝘄𝗼𝗿𝗸 𝘄𝗶𝘁𝗵, 𝗮𝗴𝗶𝗹𝗲 𝗶𝗻 𝗵𝗲𝗿 𝘁𝗵𝗶𝗻𝗸𝗶𝗻𝗴, 𝗮𝗻𝗱 𝗰𝗼𝗺𝗺𝗶𝘁𝘁𝗲𝗱 𝘁𝗼 𝗽𝗿𝗼𝘃𝗶𝗱𝗶𝗻𝗴 𝘄𝗵𝗮𝘁 𝘄𝗮𝘀 𝗻𝗲𝗲𝗱𝗲𝗱 𝗳𝗼𝗿 𝗮 𝗿𝗲𝘀𝗲𝗮𝗿𝗰𝗵- 𝗮𝗻𝗱 𝗱𝗮𝘁𝗮-𝗱𝗿𝗶𝘃𝗲𝗻 𝗮𝗰𝗮𝗱𝗲𝗺𝗶𝗰 𝗽𝗿𝗼𝗷𝗲𝗰𝘁. 𝗜 𝘄𝗼𝘂𝗹𝗱 𝗱𝗲𝗳𝗶𝗻𝗶𝘁𝗲𝗹𝘆 𝗵𝗶𝗿𝗲 𝗵𝗲𝗿 𝗮𝗴𝗮𝗶𝗻.” — PhD Candidate | Academic Research & Statistical Analysis “𝗔𝗺𝘆 𝗽𝗿𝗼𝘃𝗶𝗱𝗲𝗱 𝗮 𝗴𝗿𝗲𝗮𝘁 𝘀𝗲𝗻𝘁𝗶𝗺𝗲𝗻𝘁 𝗮𝗻𝗮𝗹𝘆𝘀𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝗼𝘂𝗿 𝗰𝗹𝗶𝗲𝗻𝘁’𝘀 𝗽𝗼𝘀𝘁-𝗰𝗮𝗺𝗽𝗮𝗶𝗴𝗻 𝗿𝗲𝗽𝗼𝗿𝘁𝘀. 𝗦𝗵𝗲 𝗽𝗿𝗼𝘃𝗶𝗱𝗲𝗱 𝗿𝗲𝗴𝘂𝗹𝗮𝗿 𝘂𝗽𝗱𝗮𝘁𝗲𝘀 𝘁𝗵𝗿𝗼𝘂𝗴𝗵𝗼𝘂𝘁 𝘁𝗵𝗲 𝗽𝗿𝗼𝗷𝗲𝗰𝘁 𝗮𝗻𝗱 𝗱𝗲𝗹𝗶𝘃𝗲𝗿𝗲𝗱 𝗵𝗶𝗴𝗵-𝗾𝘂𝗮𝗹𝗶𝘁𝘆 𝘄𝗼𝗿𝗸 𝘄𝗶𝘁𝗵𝗶𝗻 𝗮 𝘀𝗵𝗼𝗿𝘁 𝘁𝗶𝗺𝗲𝗳𝗿𝗮𝗺𝗲. 𝗪𝗼𝘂𝗹𝗱 𝗵𝗶𝗴𝗵𝗹𝘆 𝗿𝗲𝗰𝗼𝗺𝗺𝗲𝗻𝗱!” — Social Media Specialist | Sentiment Analysis Project Proficiencies: • Statistical analysis: Analysis using SPSS and Python (ANOVA, Regression, t-tests, chi-Square). • Predictive modeling: Linear/Logistic regression, clustering, and forecasting • Survey design and analysis: quantitative research and methodology design • Excel: Pivot tables, complex formulas, Power Query, and VBA macros. • Workflow automation: Connecting your stack (ClickUp, Notion, Google Sheets) via n8n to create real-time data ecosystems. • Data storytelling: Dashboards and visualizations in Tableau and Excel. the tools i use: - Analysis and statistics: SPSS, Python (Scikit-learn, Pandas), R. - Automation: n8n, Python scripts, Selenium/BeautifulSoup for web scraping. - Business tools: MS Excel (Expert), Google Sheets, n8n, Tableau - ClickUp, Asana, Notion Fast turnaround: I deliver within 72 hours. ☞ Sounds like a good fit? Send a "Message" or "Invite", describe the problem and I’ll quickly provide a plan on how we can solve it.

Computer Science senior graduating May 2026 with hands-on experience in data analysis, designing, stakeholder reporting, and cross-functional collaboration across enterprise and government-adjacent environments. Proficient in Excel, SQL, Python, Figma, Canva, Confluence, and Agile workflows. Eager to apply analytical and communication skills in a mission-driven environment.

Kevin is a data and research professional that will bring your project to the highest level. His experience covers a wide range of research types including consumer & market analyses, business analytics, survey & test development, and traditional psychological science. A professor of statistics, research methods, and other classes for over 10 years, he has helped many organizations and doctoral candidates successfully design, analyze, and report on their research projects. In addition to his data work, Kevin has years of experience in talent management, training design + delivery, e-learning, emotional intelligence, and executive coaching. Software expertise: SPSS (inc. AMOS), Excel, Access, R, and many others Accomplishments: - Developed the NADSI, a nation-wide survey metric of the digital signage industry - Developed a 360-degree test of emotional intelligence - Utilized shopper and sales data to help national retailers like Michael’s and Armani better manage their labor force - Evaluated and improved the effectiveness of the US Navy’s “Revolution in Training” - Helped Fortune 500 companies like Panasonic and Coca-Cola manage their talent pipeline - Coached Fortune 1000 executives to increase their emotional intelligence skills Specialties: - Quantitative and qualitative analyses - Technical design, development, implementation, and support of enterprise data systems - Scientific research design, analysis, writing and publication - Survey and test development and validation