Developed pricing strategies for a major retailer (e.g., elasticity, key value items, price perception, zone pricing), and then created novel advanced analytic methods to derive actionable insights (e.g., predictive models, transaction market basket analyses, price text sentiment, clustering). Advanced analytics algorithms/models evaluated using R statistical programming for several clients across multiple industries (e.g., retail, telecommunication, healthcare, service, social network analysis). Analyzed large social networks to segment users into distinct communities, and then identified key influencers within each community. Constructed interactive web applications containing embedded advanced analytics (R Shiny programming) that are user friendly and provide actionable insights. Conducted text based analytics (e.g, topic modeling classification, word association strength, sentiment prediction) that quantitatively and qualitatively assessed common affinities allowing for specific targeted messages to individual communities and/or users. Some other examples of past analyses include forecasting time series revenue signals, understanding customer behavior through segmentation, predicting retention agent performance, characterizing driving variables leading to high hospital readmission rates, evaluating social/healthcare network health, etc.

•Analyzed reflectance and fluorescence spectroscopy signals using Matlab and R software programs that incorporated novel statistical and mathematical methods used to classify cervical and esophageal pre-cancerous tissue.•Directed colleagues and outside consultants on several projects vital to the medical device's development. •Lead several efforts to incorporate new optical components into the instrument that increased the performance.•Disseminated clinical and experimental results to coworkers, supervisors, etc. through regularly scheduled meetings, technical reports, and emails. •Explained complex ideas and concepts to non-technical groups within the company (e.g. sales, communication, marketing) that helped their understanding. •Conducted statistical analyses and interacted with FDA personnel at their headquarters during different stages of the instrument development in an attempt to obtain FDA premarket approval for two medical devices.

•Researched and developed pediatric and adult vision disability detection medical devices through theoretical optical eye modeling and experimental electro-optical prototype instrumentation.•Coordinated clinical research studies to verify our medical device's ability to identify and quantify strabismus (crossed eyes), refractive errors, and high-order ocular aberrations.• Knowledgeable on exporting and performing MATLAB analysis of unprocessed data obtained from clinical instruments (e.g. Pentacam, Humphrey Atlas, IOL Master, WaveScan). •Published in peer-reviewed journals and presented oral and poster presentations at conferences/meetings.•Prepared and awarded grant proposals submitted through government, military, and aerospace funding agencies.

• Performed independent and collaborative research towards the development of a medical device for non-invasive glucose monitoring using optical coherence tomography (OCT) methods. • Created customized signal and image processing algorithms to analyze and quantify glucose induced scattering changes and to measure localized blood flow in the dermal tissue layer by utilizing several MATLAB toolboxes (e.g. Statistics, Curve Fitting, Signal Processing, Image Processing).• Responsible for analyzing human clinical trial results and afterwards preparing technical reports, summaries, and quantitative analyses for other GlucoLight team members. • Theoretically modeled the medical device imaging performance using ZEMAX software by evaluating the geometric image formation, optical aberrations, stray light analysis, and the optical transfer function.• Experimentally evaluated the medical device imaging performance by constructing an external camera detector system utilizing LabVIEW software control and the Vision Development Module. • Experience working closely with outside testing laboratories and research institutions. • Commanded an extensive knowledge of the relevant scientific literature: glucose monitoring devices, optical and biomechanical skin properties, and OCT principles and applications.

• Constructed a novel electro-optical imaging medical device to detect and autonomously quantify ocular disorders.• Applied real-time adaptive medical device instrument control and data acquisition using LabVIEW software techniques and USB based measurement and automation devices.• Developed image processing software analysis algorithms to identify several ocular biometrics using the LabVIEW Vision Development Module and MATLAB Image Processing Toolbox. • Theoretically analyzed the ocular image used to measure and quantify the ocular disorders by incorporating eye models and the device's optical parameters into ZEMAX computer modeling software. • Published in scientific journals and presented oral and poster presentations during scientific conferences/meetings.• Gained experience writing research proposals to government, military, and aerospace external funding agencies.

• Instructed lectures and explained homework questions for freshman physics recitation courses.

• Modeled the electric field inside an electrodynamic particle trap using Poisson/Superfish and IDL software.