IVAN CORONA

EXPERIENCED ELECTRICAL ENGINEER | DATA SCIENCE | MACHINE LEARNING

About me

My name is Ivan Corona, an electrical engineer with experience leading automation projects for companies such as Amazon and Walmart. My passion for innovation and technology drives me to contribute to the development of artificial intelligence projects, especially in areas such as smart cities and renewable energies. Outside of work, I enjoy traveling, reading, and participating in cultural and sports events. I am committed to sharing my knowledge in programming and artificial intelligence to inspire innovative solutions.

Experience

Honeywell
Electrical Design Engineer II (August 2020 - December 2023)
  • Led the design and implementation of electrical control panels and automation of conveyor belt systems for clients such as Amazon, Target, Walmart, etc.
  • Designed low voltage control panels, creating layouts, schematics, and bills of materials using AutoCAD Electrical. Developed data analysis to cut electrical design times by 20%.
  • Conducted testing and commissioning for conveyor belt systems, swiftly resolving issues. Developed software to optimize commissioning, saving 20kUSD per project.
  • Collaborated with clients on finalizing electrical design specifications and reviewed fellow engineers’ designs for validation and approval.
  • Ensured regulatory compliance with NFPA70 and NEC standards, averting penalties and passing government audits.
Schneider Electric
Application Engineer (August 2018 - March 2020)
  • Electrical design of medium voltage distribution panels, encompassing the creation of layouts, schematics and bill of materials, driving 20% revenue growth at plant in medium voltage business unit.
  • Improved production rates by conducting data analysis on part numbers to ensure material supply saving aprox 50kUSD.
  • Engineered real time software applications for engineering and manufacturing areas, boosting processes efficiency by 40%.
  • Contributed to a multidisciplinary team, enhancing production rates at the Columbia EU plant by implementing lean manufacturing practices.

Education

Data Analytics – EDX & Tecnológico de Monterrey (2023-2024)
  • Studies in data analysis with Python, databases, data visualization, and machine learning.
    • Electrical Engineering – Instituto Politecnico Nacional (2014 – 2018)
  • Graduated with honors in the specialization area of power electrical systems.
  • Thesis on AI applied to electrical systems.
    • Electrical Engineering and Computer Science – AGH University of Technology (2017)
  • Participation in a workshop at ABB on advanced numerical systems for engineering, electrical control systems, and simulations of high-voltage electrical systems.

    • Technical Skills

    • Data Analysis: Proficient in Python for data manipulation, analysis, and visualization using libraries such as Pandas, NumPy, and Matplotlib.
    • Machine Learning: Experience in implementing machine learning models for classification and regression tasks using scikit-learn and TensorFlow.
    • Electrical Design: Skilled in designing electrical control panels and automation systems using tools like AutoCAD Electrical and ETAP and according to industry standards such as NEC (National Electrical Code) and NFPA70.
    • Programming Languages: Proficient in Python and SQL, with knowledge of C, Java and javascript.
    • Database Management: Experience with SQL databases (MySQL, PostgreSQL) for data storage and retrieval, as well as MongoDB.
    • Data Visualization: Proficient in data visualization tools such as Excel, Tableau, and Power BI for creating insightful visualizations and dashboards.

    Certifications

    1. Data science Bootcamp (Edx and Tecnológico de Monterrey – 2024)
    2. Artificial Intelligence (Huawei – 2024)
    3. Python Data Analyst (Coursera and Google – 2021)
    4. Lean Six Sigma Green Belt (Honeywell – 2021)
    5. Standards ISO 9001, 14001, 45001 (Bureau Veritas – 2019)

    Personal Projects

    1. Electric Generation in Mexico 2018-2023 (Data Visualization): Developed an interactive website using JavaScript, HTML, and CSS to visualize electric generation data in Mexico. Provided insights, statistics, and trends on energy production.
    2. Electric Energy Generation Prediction (Deep Learning): Created a deep learning model utilizing a recurrent neural network (RNN) to forecast electricity generation. Utilized CENACE data from 2021-2023 for training and validation.
    3. Electric Faults Prediction in High Voltage Systems (Machine Learning): Implemented machine learning techniques including Support Vector Machines (SVM), Random Forest (RF), Decision Trees (DT), and K-Nearest Neighbors (KNN) to forecast and prevent electrical faults in high voltage systems.
    4. Python for Electrical Engineering Book: Authoring a book aimed at electrical engineering students to teach Python programming language alongside electrical engineering concepts.