Cesar

-High throughput experimentation to study CO2 electrocatalytic reduction.
-Bayesian optimization for reaction optimization.
-Design of experiments to obtain a rich and varied dataset linking important parameters with product selectivity and stability.
-Train machine learning models to extract feature importance and to design further experiments.

-Organize and conduct powder processing trials of complex mixes of ingredients covering large range of physical properties (viscosity, pH, density, TS, PSD)
-Implement design of experiments (DoE) to study the effects of the recipe ingridients in the the processaiblity for spry-drying process. Additionally, implement DoE to generate a recipe space to have a representative sampling to enhace machine learning prediction.
-Implement data architecture solutions to lead a proper data management flow with machine learning applications.
-Implement machine learning models (multivariable linear regresion, Lasso regresion and neural networks)

Laboratory of Molecular Simulation: I am developing a python based web modules for interactive learning of vibrational spectroscopy for molecules and solids. The modules are based on generation of applications of simulations (DFT, numerical and analytical) for the better understanding of vibrational spectroscopy. Additionally, I am benchmarking a machine learning model for the prediction of photoelectric excitations of carbon and oxygen with immediate application in prediction of their XPS spectra.

GEM Lab: I developed and characterized a novel ink for inkject printing on fuel cell interconectors. This ink has the capability to prevent electrodes from chromium poisoning.
The rheological characterization was performed using viscometer, Z-sizer and optical tensiometer.

-Administration of data bases using Microsoft applications (SharePoint, Power Automate)
-Treatment of AAA (Advanced Accelerator Applications) global data regarding Key Quality Indicators (KQI) to present it in a visual way and make decisions.
-Project management under Lean Six Sigma methodologies to perform continuous improvement
processes of administrative services
-Automation of financial, metric and processing dashboards using Qlik Sense
-Change Task Manager in Agile PLM Oracle: development of data based solutions by means of
developing Qlik Sense Applications to find tendencies and bottlenecks in the process of Change
Control, then take preventive and corrective actions.
-Document Management activities in Service Development Process as part of Service Transition
Process.
-Back up for Radiopharmacy Qualification: support a division to evaluate Quality Compliance of
Radiopharmacies and vendors involved in the preparation of Clinical Trials based on the Novartis
guideliness.

Deployment of Continuous Improvement initiatives in the site, coordination in the development and implementation of new services, guidance in the execution of digital initiatives.
Tool Implementation: Implementation of Qlik Sense environment in a global division. Dashboard based on Qlik Sense (BI), tool for issues analysis to find trends.

OpEx Efficiencies: 75,000 dlls in savings during 2021 (supporting 2 GB Projects) and 30,000 dlls in 2022 so far.(KPI calculation automation, automated presentations, databases in SharePoint to be in compliance with Data Integrity Novartis Guidelines). During 2022 I have leaded and concluded 4 projects so far.

Service Development: successfully concluded 1 project in 2022, being part of the creation of the service in America for AAA divison.

I was part of 4 projects of process automation which I successfully finished using Qlik Sense.
-Project management under Lean Six Sigma and SCRUM methodologies to perform continuous improvement processes of administrative services
-Automation of financial, metrics and processing dashboards using Qlik Sense
-Documentation for verification of computerized systems
-Learning Administrator in Up for Growth (UP4G)
-Change Task Manager in Agile PLM Oracle
-Document Management activities
-Trainer of basic tools to use Qlik Sense