Jorge Eduardo Vicente Hernández

Data and Artificial Intelligence Engineer

− Chatbot with GPT: I led and participated in the development of a chatbot project in whatsapp with OpenAI chatgpt using python language on the digital ocean platform (cloud platform)

Billing Coordinator

− Previously, sending electricity bills to free market customers via email required a total of 3 hours, involving significant manual effort. Presently, this task has been streamlined to just 10 minutes, with manual intervention completely eliminated.

Data Specialist

− Billing prediction: predict energy consumption and the number of customers in 1 month, 6 months an 12 months. this project was worked with the italian enel team, we develop two predictive models with arima, that provide approach to time series forecasting.

− Billing's RPA: Use of technologies such as computer vision, deep learning and RPA to automate part of the billing process; This new process reduces processing time by 40% and increases the analysis time for billing analysts.

− Fose process upgrade: Fose is a government benefit to help poor people, the upgrade is about the increase in the range of the benefit that changes from 100 kw to 140 kw, which means that people with less than 140 km comsuption will receive the benefit. This update also has a control panel in qliksense, which helps the analyst, view the increase of the beneficiaries by district, sector, range of consumption over time and tendences that help to make decision about that.

− Dashboard of the route of the billing: This dashboard was create in Qliksense, the goal is know the change of states of the custemers in the billing process; this dashboard is fed with data from reading consumption, verification of reading consumption, billing states and features of the costumers; this data is extract, tranform and load by azure data factory.

− Measurement of electricity consumption with computer vision and deep learning: Link: https://www.youtube.com/watch?v=gA4QVSI-iPA&t=1s

Information Security Coordinator

− During my work experience, I have developed statistical models and data analysis solutions to manage the budget of the company. I have used tools such as Python to implement these models and generate reports that enable the manegement to make informed decisions about the budget.

− I have also worked on the development of statistical models and data analysis solutions to prevent and avoid possible incidents related to the information security of the company. These models have helped the company identify and prevent potential security threats and protect the company's information and its customers.

− In my role as a coordinator, I have also been responsible for ensuring that the company complies with information security policies and directives. I have worked closely with information security teams and business leaders to ensure that information security requirements are met and that the company is protected against potential threats.

− I have also worked to strengthen compliance with Law 29733 (Personal Data Protection) in all Enel Group processes. I have collaborated with data privacy teams and business leaders to ensure that the company complies with data privacy regulations and that customers' personal information is protected in all processes.

Information Process Improvement Specialist

− In my role, I have proposed, developed, and managed data analysis solutions that have enabled the company to make informed decisions for Business Management. Using tools such as SQL Server, Integration Services, and QlikView, I have created and implemented data analysis solutions that have provided valuable insights into business performance, enabling the company to optimize its operations and achieve its goals.

− I am committed to continuous improvement in data extraction processes. As a data engineer, I have worked to streamline data extraction processes, leveraging my expertise in tools such as SQL Server and Integration Services to optimize data extraction and analysis. Through this continuous improvement, I have enabled the company to extract insights more efficiently and effectively.

− I have also developed data analysis solutions to identify risks in business processes, leveraging my expertise in tools such as SQL Server, Integration Services, and QlikView. These solutions have helped the company identify potential risks and vulnerabilities in its operations, enabling the company to take proactive measures to mitigate these risks and ensure the smooth functioning of its operations.

− As a specialist, I have also been responsible for managing the correct deployment of systems in the production environment, working closely with the IT area to ensure that systems are deployed correctly and that they function as intended. Through my attention to detail and expertise in deployment processes, I have ensured that the company's systems are always up and running, minimizing downtime and maximizing efficiency.

BI team Leader

− As a business intelligence analyst, I played a key role in developing a customer value analysis project to identify the most potential customers. Using my expertise in Oracle, Oracle Discoverer, and QlikView, I developed data analysis solutions that enabled the company to identify customers with the highest potential value and target them with customized marketing and sales strategies.

− I also worked on a project to identify the customer churn rate, using my expertise in Oracle, Oracle Discoverer, and QlikView to develop data analysis solutions that enabled the company to identify customers who were most likely to churn and take proactive measures to retain them.

− As a business intelligence analyst, I proposed, managed, and developed improvement projects for the extraction of information, leveraging my expertise in Oracle and Oracle Data Integrator (ODI). Through these projects, I improved the efficiency and effectiveness of information extraction, enabling the company to extract insights more quickly and accurately.

− Overall, my experience as a data engineer has given me the skills and expertise necessary to develop and implement data analysis solutions that drive business success. From customer value analysis to churn prediction to information extraction, I have worked to optimize data analysis processes and provide valuable insights that enable the company to achieve its goals.

Senior Business Intelligence Analyst

− As a business intelligence analyst, I was responsible for proposing and developing business solutions for the Financial and Commercial areas using tools such as Oracle and Oracle Discoverer. This involved working closely with stakeholders to understand their requirements and designing solutions that met their needs. I was also responsible for ensuring that the solutions were scalable, reliable, and delivered value to the business.

− In addition, I managed, analyzed, and developed the prepaid telephony datamart project. This involved working with large volumes of data to identify patterns and trends, as well as designing and implementing data models that were used for reporting and analysis. I utilized tools such as Oracle, Oracle Discoverer, and Qlikview to build and maintain the project.

− Finally, I was responsible for ensuring the proper functioning of ETL processes in the production environment. This involved monitoring and maintaining the processes using Oracle and ODI to ensure that data was extracted, transformed, and loaded accurately and on time. I also worked closely with other teams to troubleshoot and resolve any issues that arose during the ETL process.

Business Intelligence Analyst

− As part of the information support management I led the team responsible for managing and maintaining data extraction systems, specifically utilizing Sql Server Integration Services. This involved developing and implementing processes to ensure the accuracy, timeliness, and reliability of data being extracted from various sources.

− Additionally, as a Business Intelligence Analyst, I worked closely with the Regional Finance Management team across South America to develop and implement data analysis solutions. This involved utilizing Sql Server Reporting Services to create reports and dashboards that provided actionable insights and facilitated data-driven decision making. Through these efforts, we were able to improve financial performance and optimize business processes across the region.