Eric Solano Email & Phone Number

Charlotte, Nc, Us

Hanover, De

Palo Alto, Ca, Us

Execute data science projects as part of the Maana Knowledge Platform, a knowledge-centric technology that has been developed over the past years, while solving the most complex operational challenges of Global Fortune 500 industrial companies. The Maana Knowledge Platform turns human expertise and data into digital knowledge for employees to makebetter and faster decisions.

Bellevue, Washington, Us

Use cutting-edge technologies including Spark, Hadoop, Map/Reduce, MLlib, Mahout, probability theory, statistics, math modeling, etc., to help mobile shoppers search, plan, and complete their in-store shopping trips with Point Inside’s digital in-store product location solutions.

Beijing, Cn

Explored and examined data from multiple disparate sources; Discovered what companies do not know about their data; Identified use cases; Obtained predictive insight from data; Communicated relevant business stories from data; Identified subtle factors that can have a big impact on a company’s bottom line.

Research Triangle Park, Nc, Us

Designed methodologies for electric power load forecasting using micro-simulations and synthetic populations that could help develop a new electric forecasting paradigm. Collected, manipulated and analyzed data from different sources, structures and nature: energy consumption data, weather data, energy pricing data, etc. Used: Repast, R, SAS, QGIS, MySQL. Designed and developed micro-simulations, risk assessment models, incidence and prevalence models, Gompertz growth models, natural history models, screening models, and treatment models. Used: Repast, R. Used mathematical and statistical models to analyze luminosity intensity of Light Emitting Diode (LED) luminaires. Analyzed failure data collected from literature and from independent analyses. Used SAS and R environments to perform regression analyses and survival analyses. Developed a Compartmental “Susceptible-Exposed-Infected-Recovered (SEIR)” model in MATLAB to study the effectiveness of hepatitis A vaccination. Developed a quantitative framework to aid in decision making for integrated MSW management. Developed the core mathematical model. Used linear programming (CPLEX and COIN-OR), object oriented programming in VB.NET, life cycle assessment, engineering economics, modeling to generate alternatives, multi-objective programming, etc.

Raleigh, North Carolina, Us

Developed a quantitative framework to aid in decision making for integrated municipal solid waste (MSW) management. Developed the mathematical model to solve problem that caused the previous models to be time-consuming and overly complex. The model uses a flexible framework to represent many site-specific issues and considerations. It incorporates both cost and environmental objectives. The environmental objectives are defined in terms of life cycle inventories of energy and emissions (of carbon monoxide, fossil- and biomass-derived carbon dioxide, nitrogen oxides, sulfur oxides, particulate matter [PM], and PM10) and greenhouse gases) associated with MSW management strategies. The application of this model was demonstrated through realistic hypothetical case studies. Several MSW management scenarios of typical interest to U.S. municipalities were studied. Through these illustrative applications, the flexibility and capabilities of the model were demonstrated.

Ph.D., Systems Analysis

M.Sc., Civil/Environmental Engineering