Resume
Data analytics · People analytics · Psychometrics
Summary
Data analyst with a background spanning BI infrastructure, data engineering, and people analytics. Combines hands-on experience building production dbt/SQL pipelines and BI dashboards with graduate training in Industrial/Organizational Psychology and hands-on work designing and statistically validating talent assessments. Comfortable moving between engineering (Snowflake, dbt, Power BI) and the statistical/psychometric rigor (reliability, validity, significance testing) that people analytics work specifically demands.
Skills
Technical
Python R SQL dbt Snowflake BigQuery Power BI Alteryx Streamlit Looker
AI Tools
GitHub Copilot Cursor Claude Cortex
Statistical / Psychometric
Reliability and validity testing t-tests ANOVA correlation regression Fisher’s Z transformation assessment design and weighting
Domain
People analytics talent assessment BI infrastructure data governance survey methodology
Experience
Senior Analyst (promoted from Data Analyst)
- Built dbt/SQL pipelines in Snowflake that standardized survey data processing, cutting turnaround from 3–4 weeks to under 2 business days
- Cut survey prep time from 3 days to near-instant upon survey close as part of the same pipeline work
- Build gold-level data models/tables that feed Power BI dashboards tracking audience engagement, revenue KPIs, and audience demographics
- Built a Power BI heatmap (matrix visual) for site-by-content-index audience analysis, including a DAX measure using REMOVEFILTERS to calculate percentage of known users independent of demographic filter context
- Own data governance for these pipelines and dashboards, enforcing access controls and running data quality checks
- Use AI tools daily (GitHub Copilot, Cursor, Claude, Cortex) to accelerate development and surface insights faster
Analyst, People Science
- Designed and validated talent assessment batteries in partnership with client organizations
- Administered assessments to current employees and collected manager performance ratings as part of the validation process
- Determined assessment weighting based on validation results
- Monitored live hiring results and validated the reliability and predictive validity of assessments using t-tests, ANOVA, correlation, regression, and Fisher’s Z transformation
Adjunct Professor (promoted from Graduate Assistant)
- Promoted from Graduate Assistant to Adjunct Professor after developing a machine learning module (regression, classification) for master’s students
- Taught multiple and logistic regression and machine learning in R to master’s and undergraduate students
- Designed coursework combining theory with hands-on projects, encouraging students to apply statistical models to real-world data
- Led lectures on statistical methods (mean comparison, regression, chi-square, etc.) using R and RMarkdown
- Provided one-on-one support during office hours, ensuring student comprehension at all levels
- Assisted with projects in the Sociology Department
- Collaborated with faculty to align content with diversity, equity, and inclusion initiatives and curriculum goals
Intern
- Supported organizational culture projects by designing surveys, cleaning datasets, and generating insights that informed clients’ workplace strategies
- Designed and analyzed surveys using SurveyMonkey, Excel, and R for the annual gothamCulture workplace report
- Created visuals and dashboards to compare cultural trends across industries
- Conducted research on best practices in workplace culture and provided clients with tailored recommendations
Recruiting Intern (Part-Time)
- Ensured a strong candidate experience; supported orientation and new hire activities
- Prepared candidate schedules, maintained candidate files and databases (PCR Database and Excel), and ensured compliance with applicable policies, procedures, and laws
- Generated recruiting statistics reports and other ad hoc reports as needed
- Sourced and recruited diverse candidates using LinkedIn, MRI Job Boards, and Dice
- Assisted the recruiting team during the recruiting process; submitted applicant information into Greenhouse and iCIMS
Publications & Manuscripts
- Cancialosi, C., ElMakkaoui, Z., Lind, B., & Osorio-Duffoo, C. (2021). 2021 State of culture report: Insights from an unprecedented year. gothamCulture. View
- Kulas, J., Osorio-Duffoo, C., DeFabiis, M., & Russell, M. Bought but partially sold? Measurement invariance across purchased and snowball samples [Unpublished manuscript]. View
- Kulas, J., Garcia Prieto Palacios Roji, R., Osorio-Duffoo, C., Russell, M., & DeFabiis, M. Engagement as attitude: Development and initial validation of an intentional bi-factor measure of employee engagement [Unpublished manuscript]. View
Conference Presentations
- Kulas, J., DeFabiis, M., Osorio, C., & Russell, M. (2023). Construct and criterion-related validation of the bifactor engagement scale [Poster]. SIOP Annual Conference, Boston, MA. View
- Russell, M., Garcia Prieto Palacios Roji, R., Osorio-Duffoo, C., & Kulas, J. (2022). Development of an intended bifactor engagement measure [Poster]. SIOP Annual Conference, Seattle, WA. View
Education
Master’s Degree, Industrial/Organizational Psychology · Montclair State University | 2021
B.A., Psychology (Honors) · Seton Hall University | 2019