Erool Palipane, Phd Email & Phone Number

Bloomington, Il, Us

Developing Pricing models, Market Analytics, Insurance Bias detection/mitigation and developing Explainable AI models.

Phoenix, Az, Us

Davis, California, Us

Cross-team Collaboration and Research: Conducted research and assisted research team within the Grotjahn group, a UC-Davis team of scholars studying extreme weather patterns. Programming Languages: Identified mechanisms of extreme weather, including heat waves and cold air outbreaks, by utilizing tools such as C shell, NCAR Command Language (NCL), and R.Predictive Modeling and Coding Experience: Collaborated with team on a strategic and innovative predictive modeling initiative, developing codes to identify and forecast heat waves.Data Analysis and Linear Regression: Managed data analysis activities, leveraging cutting-edge learning techniques and linear regression models to predict temperature extremes. Computed a single index from a 1TB data set.Statistics, Support Vector Machine (SVM), and Contingency Analysis: Used advanced statistics techniques, including generalized linear models (GLMs), random forests, and support vector machines, to identify the shape, scale, and return values of the collected data. Created contingency tables to test strength of predicted lower-level temperatures.Data Science and Predictive Analytics: Formulated research-informed extreme weather predictions, helping to safeguard resources for the American dairy industry (which has incurred billion-dollar losses from singular heat wave events).http://grotjahn.ucdavis.edu/EWEs/Palipane_Programs/

Fairfax, Virginia , Us

Research Design and Project Management: Conceived, designed, and completed a research project examining the impact of climate change on jet streams in the mid-latitudes.Data Modeling and Quantitative Analytics: Led data modeling activities, which included running a climate model (CCSM4 on NCAR) with a boundary condition and initial conditions to determine output. Tested the performance of high-resolution climate modeling by using chi-squared distributions, F statistics, and T-tests.Unix, Shell Scripting, Matlab, and GrADS: Interpreted data in diverse environments, including Unix, shell scripting, Matlab, Fortran, and Grid Analysis and Display System (GrADS).Data Manipulation: Processed parallel programs in supercomputers to simulate current/future climates; utilized dimension reduction to condense 300MB of data to a single index (.3MB).Cross-team Collaboration: Collaborated with teams from Princeton, Cornell, and the University of Utah to analyze 100GB of data, incorporating statistical techniques and best practices to identify a significant jet stream shift.Worked on a $205K research grant from the National Science Foundation (NSF) to facilitate climate project. Garnered media attention for research work.*Media: http://phys.org/news/2016-07-scientists-simulate-climate-jet-stream.html

Peradeniya, Lk

Engineering Mathematics and University Teaching: Taught university students and conducted tutorial sessions on topics related to engineering mathematics.Research: Performed research work for the Engineering Math Department.

Colombo, Western, Lk

Risk Assessment, Engineering, and Loss Adjusting: Assessed client risk as a full-time engineer (2006–2008) and independent consultant (2008–2009). Advised underwriters on potential risks of exposure to natural hazards and initiated loss adjustment processes.Training & Development and Technical Writing: Trained 4 technical officers to write reports and conduct surveys, building capacity.Survey Research, Business Analysis, and Client Relations: Reduced flood losses by 20% through conducting risk surveys and offering recommendations to clients.Cost Savings: Saved company 30% on claim adjustment payouts related to fires, floods, and natural disasters.Claim Investigation: Identified incorrectly approved claims within a construction policy, cutting losses by up to $500K.

Phd, Climate Dynamics

Manufacturing Engineering