• Identified student profiles using K-means clustering (Python)• Applied ETL on structured and unstructured student data (SQL)• As a member of the Institutional Review Board (IRB), led the revision of the outdated IRB Policy Manual to ensure HIPAA compliance• Communicated complex statistical information in an easy to understand formatto students and humanities’ faculty; coached doctoral candidates in statistical modeling• Assisted in computing and presenting statistical… Show more • Identified student profiles using K-means clustering (Python)• Applied ETL on structured and unstructured student data (SQL)• As a member of the Institutional Review Board (IRB), led the revision of the outdated IRB Policy Manual to ensure HIPAA compliance• Communicated complex statistical information in an easy to understand formatto students and humanities’ faculty; coached doctoral candidates in statistical modeling• Assisted in computing and presenting statistical analysis results for other faculty• Supervised student research through all stages from idea conception to their peer-reviewed presentation• Presented research at various local and national conferences Show less

• Applied ETL on structured and unstructured electroencephalographic (EEG) and behavioral data (SQL) using relational databases• Constructed and developed LASSO, Ridge and Random Forest machine learning algorithms models to predict ADHD symptoms• Prepared and edited study protocols to ensure HIPAA compliance• Used statistical A/B tests to select the best gamified task design• Applied EFA, CFA and SEM to identify latent psychometric factors• Applied hierarchical Bayesian… Show more • Applied ETL on structured and unstructured electroencephalographic (EEG) and behavioral data (SQL) using relational databases• Constructed and developed LASSO, Ridge and Random Forest machine learning algorithms models to predict ADHD symptoms• Prepared and edited study protocols to ensure HIPAA compliance• Used statistical A/B tests to select the best gamified task design• Applied EFA, CFA and SEM to identify latent psychometric factors• Applied hierarchical Bayesian modeling to behavioral data in Python & R• Used Random Survival Forest machine learning model to predict time-related task performance changes• Independently devised, planned, programmed, and executed cognitive experiments using Python• Successfully collaborated on several projects with other researchers and labs, meeting aggressive deadlines• Mentored students on the principles of scientific research and the basics of experimental design Show less

• Analyzed data in R and Python• Used Keras-based neural networks to predict personality traits from opensocial network data

Was in charge of finding blueprints for tanks, which were later digitized and put into game

Was in charge of conducting experiments and analyzing data.