Hansamali Prasangika

Graduate Teaching Assistant

Clemson University

Led technical instruction and taught undergraduate statistical computing (R, JMP), delivering quantitative consulting and hands-on guidance in data pre-processing, statistical modeling, and debugging. Mentored graduate students through complex technical reports and programming projects.

RJMPStatistical Modelingdata preprocessingDebuggingMentorship

Statistical Analyst / Temporary Lecturer

Executed advanced statistical analytics, regression modeling, and hypothesis testing in R and SPSS across clinical and biomedical research datasets. Delivered quantitative consulting on experimental study design, sample size determination, and analytical methodology, co-authoring biomedical research publications.

RSPSSRegression ModelingHypothesis TestingExperimental DesignConsulting

Training Data Analyst

Executed end-to-end data cleaning and exploratory analytics in Python on multi-attribute graduate career trajectory datasets. Built dynamic visualization workflows and quantitative trend models to extract actionable insights regarding graduate employment outcomes and workforce alignment.

PythonData CleaningExploratory Data AnalysisData VisualizationTrend Modeling

Civil Researcher

Developed an automated NLP and news classification pipeline in Python, utilizing lexical analytics and supervised ML algorithms to categorize unstructured textual data streams. Designed an unsupervised graph analytics and network clustering framework using similarity metrics to map complex behavioral patterns and interaction dynamics across social media datasets.

PythonNLPMachine LearningGraph AnalyticsClusteringSimilarity Metrics