Data Analyst / Physicist / Quality Control Engineer: Former Laser Engineer and Quality Control Specialist turned Data Analyst with a talent for problem solving and analytics. Physics background and diverse personal inter…
Data Analyst / Physicist / Quality Control Engineer: Former Laser Engineer and Quality Control Specialist turned Data Analyst with a talent for problem solving and analytics. Physics background and diverse personal interests create a broad domain knowledge. Fast learner and strong work ethic will go above and beyond to complete tasks and deliver quality work.
Delivered an in-depth python analysis and visualization of over 160,000 wine reviews. Concluded the best value of wine measured by review score per dollar is found in the United States, and that Italian wine without an appellation designation scores significantly lower than the country mean.
Developed an R Shiny Application for visualizing various factors impacting life expectancy. Engineered a feature to calculate an overall health metric. Reported and visualized countries with favorable factors towards longer life expectancy for the purposes of healthcare marketing.
Trained predictive models of house prices from Ames, Iowa. Deployed tree based and gradient boosted model ensembles to predict house price with accuracy approaching 96%.
Performed customer segmentation on Starbucks customer data for the purpose of creating new mobile, web, and social media product offers to increase customer RFM. Modeled customer clusters using support vector machines to predict responses to proposed offers.
Delivered an in-depth python analysis and visualization of over 160,000 wine reviews.
Concluded the best value of wine measured by review score per dollar is found in the United States, and that Italian wine without an appellation designation scores significantly lower than the country mean.
Developed an R Shiny Application for visualizing various factors impacting life expectancy.
Engineered a feature to calculate an overall health metric.
Reported and visualized countries with favorable factors towards longer life expectancy for the purposes of healthcare marketing.
Trained predictive models of house prices from Ames, Iowa.
Deployed tree based and gradient boosted model ensembles to predict house price with accuracy approaching 96%.
Performed customer segmentation on Starbucks customer data for the purpose of creating new mobile, web, and social media product offers to increase customer RFM.
Modeled customer clusters using support vector machines to predict responses to proposed offers.
Deployed enterprise resource planning software and performed data cleanup and migration to new system including training and maintenance.
E.R.P. and Database administrator, responsible for data integrity, custom report and dashboard generation and communicating technical details to sales and support staff.
Created a quality control department from the ground up.
Including infrastructure, instrument procurement, procedures, best practices, quality benchmarks, and staff training.
Part of a team to diagnose a common product failure mode and implement a solution which increased average product lifespan by 3 years.
نظام التوظيف التشغيلي المعتمد على الذكاء الاصطناعي أولاً، الذي يوحّد ويؤتمت دورة التوظيف بالكامل للمؤسسات الحديثة حول العالم.
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