Nicolas Lopez Email & Phone Number

Corona, Ca, Us

San Antonio, Texas, Us

Dr. Nicolas Lopez has extensive experience developing and deploying machine learning models, delivering automated data analysis, and building software using modern architectures such as Amazon Web Services.As a data scientist at Rackspace, Dr. Lopez has worked with various clients to deliver to their individual needs from proof-of-concept data science models, to pipeline based automation, to data visualization and analysis.Work and Accomplishments Employed a graph database and currently building graph algorithms to perform targeted digital advertising. Set up a Snowflake data pipeline and Terraform infrastructure to run automated data analytics for a start-up company.Built software infrastructure within Terraform and separated it from functional code that ran as Lambda functions within Amazon Web Services. This was built for a company that links local emergency resources such as police, firefighter, and ambulances. Built a proof-of-concept model for people entity resolution. A model training technique was written based on the python library Dedupe. The trained model was able to match and resolve millions of records based on nearly-matching fields such as addresses, phone numbers, person names, person identification history, etc. Built a proof-of-concept model to identify critical parts of floor plans such as walls, windows, and doors. With less than thirty labeled 2-Dimensional floor plans, an image recognition model based on AWS Sagemaker Neural Net was trained with a high identifying accuracy (greater than 80%) on test data. AWS Certification: Solutions Architect Associate

C-licensed coach of competitive teams with the City SC soccer club in the Lake Elsinore, CA location.

Hermosa Beach, California, Us

Developed machine learning models to automate targeted ad products in the hotel industry. Clients include booking.com, trivago.com, laterooms, lastminute, and more. ▪Automated online travel ads using machine learning models to increase ad revenue. ▪Improved daily ad pricing for thousands of ad campaigns based on supply and demand using time series models (FB-Prophet).▪Productized user scores and built audience segments by clustering model predictions. ▪Optimized ad spending through business insights and A/B testing. ▪ Increased ad reach and placements by building a Flask app to label online travel web pages.▪Streamlined model deployments and services using Docker and Kubernetes. Monitored deployments with elastic search to decrease error response times.

New York, Ny, Us

Used predictive, statistical analytics to intelligently serve media advertising for Fox and eTrade. ▪Increased the efficiency of ad spending with scientific process to test, find audiences and then target segments of the population who are most likely to: (Fox) - buy movie tickets and/or movies/tv shows, (eTrade) - open accounts.▪Improved ad targeting by creating audience segments of movie/tv show affinities using unsupervised models such as text clustering.▪Increased the number of users reached with linear regression models based on variables such as time, number of impressions served, media channel, etc.

EndorsementI have personally and professionally known Nick Lopez, PhD. for over ten years, having watched him excel in his personal life, in academics, in the academics work sector and more recently (since 2013) in the private for-profit technical development work sector. Nick is a very fast learning / low maintenance work individual, bringing focus and clarity to the projects he supports, creating an agile technical “get-it-done” execution environment with focus on risk, cost and schedule. Nick invests positively in his work, with his time and talent, bringing value in what he creates. The reason I have written this personal endorsement is because Nick’s performance merits such recognition and I fully endorse Nick as he continues his technical career success.G.L. Francisco (glen.francisco@gmail.com or 321.289.6622)Project Management Director, Knights Armament Company, Titusville FL

San Diego, California, Us

Designed experiments and developed low memory machine learning algorithms for embedded systems.Accomplishments Developed classification algorithms for nanotube micro-sensors to detect gases at a resolution of a few parts per billion. Streamlined collection of gas sensor training data.

Riverside, Ca, Us

Development of Physical Models • Theory to efficiently create cold molecules with a high resolution magnetic field.• Modeled phase transitions for systems of millions of interacting ultra cold atoms. Experiments in atomic, molecular, and optical physics.• Positronium cooling and spectroscopy• Created proposals for quantum computing using cold atoms. • Taught experimental spectroscopy

Enrolled in Graduate physics courses. Teaching undergraduate physics courses in optics, electronics, electricity and magnetism, mechanics, radioactivity, muon detection, nuclear magnetic resonance spectroscopy, photoelectric effect.

Doctor Of Philosophy (Phd), Physics

Bachelor'S Degree, Mathematics And Physics