Freelancer profile translated to English.

Description

As an electrical engineer and data scientist, I use data science to solve complex challenges in the energy sector. I specialize in data analysis to optimize electricity generation and transmission processes, using advanced techniques such as machine learning and deep learning for long-term energy demand projection.

I have managed massive databases of the National Interconnected System (SNI) to identify consumption patterns and optimize the operation of power plants, which allows me to prepare detailed technical reports that drive strategic decision-making. I also have experience in evaluating the feasibility of integrating renewable energies and planning the charging infrastructure for electric vehicles, analyzing their impact on the distribution network. I master tools such as Python, R and Power BI to automate analysis, create predictive models and visualize key data

Languages

English
Native or bilingual
Spanish
Native or bilingual

Workplace preferences

Can work on-site

Quito (up to 50km)

AGENCIA DE REGULACIÓN Y CONTROL DE ELECTRICIDAD
Specialist of Technical Studies of the Electrical Sector
March 2025 - Today (1 year and 3 months)
Quito, Ecuador
• Realization of electrical and energy studies related to electricity generation, with a focus on data analysis for the optimization of demand projection using machine learning and deep learn
• Project management methodologies.
• Data mining.
Python Programming R programming Big Data Data analysis Data mining
ARCERNNR
PROFESSIONAL IN THE DIRECTION OF STUDIES AND INFORMATION OF THE SECTOR
July 2022 - December 2024 (2 years and 6 months)
Quito, Ecuador
• Data mining corresponding to the generation and transmission of energy
• Participation in the Electricity Master Plan, performing scenario analysis of generation plants in the long term using advanced techniques of
◦ Use of SDDP software for simulation and optimization of operation considering the uncertainty in water availability and demand.
• Application of OPTGEN for planning the expansion of generation and its impact on the cost of energy through a comprehensive data analysis
• Development of scripts in Python to automate analysis flows of data significantly improving efficiency.
• Management of large databases of energy resources, generation costs of power plants for analytical purposes.
• Preparation of technical reports based on data analysis to respond strategic in the planning of the electricity sector.
• Evaluation of the technical feasibility of integrating new power plants data-based evaluations.
• Analysis of large data sets of the National Interconnected System behavior and trends.
• Statistical and time series analysis for the prediction of generation wind, hydroelectric).
• Preparation of generation planning studies in the long term new technologies and demand growth through modeling Management of Distribution and Demand Studies
• Data mining corresponding to the distribution and demand of energy
• Analysis of energy demand at the national level identifying patterns in demand, using statistical models to predict the needs. Development of demand forecasting models in the short, medium and long term of Machine Learning.
• Evaluation of the impact of different energy policies on demand based on data.
Synergie PYD
Electrical Engineer
December 2021 - May 2022 (6 months)
Quito, Ecuador
Provision
• Electromechanical design of transmission lines
• Shielding and grounding systems for Substations.
• Dynamic state studies using DigSilent.
• Analysis of the directionality of power flow in the National Interconnected System (SNI) using DigSilent.
• Analysis of demand curves.
• Coordination of protections using DigSilent.
• Economic analysis of conductors.
• Preparation of Technical Reports.
• Preparation of plans in AutoCAD.