Sunday Ajala

Sunday Ajala

Intern

Followers of Sunday Ajala645 followers
location of Sunday AjalaAlbuquerque, New Mexico, United States

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  • Timeline

  • About me

    Process Integration and Yield Engineer

  • Education

    • Obafemi Awolowo University

      2012 - 2017
      Bachelor of Science - BSc Electronic and Electrical Engineering CGPA: 4.51/5.0
    • Norfolk State University

      2021 - 2022
      Master's degree Electronics Engineering
  • Experience

    • Forte Oil Nigeria

      Nov 2015 - Jun 2016
      Intern

      Key Achievements• Undertook electrical analysis of the power rating in Amps of the Master Fill Machines (MFM) for the acquisition of inverter of corresponding capacity to offset idle time caused by power change over.• Ensured protection, control, and safety of power systems at the lube oil blending plant, powerhouse, tank farm, and loading gantry with equipment such as Adelphi filling and capping machines, conveyor systems, boilers, electric motor, pumps, surface tanks and pipelines.• Assisted with and supervised the installation of new check valves, pressure valves, and flow meters on Forte Oil pipeline installations at the NNPC jetty Apapa. Show less

    • Moshood Abiola Polytechnic

      May 2018 - Apr 2019
      Graduate Assistant

      Key Achievements• Lectured EEE325 Digital Communication 1, for class of over 120 Higher National Diploma students.• Assisted a senior lecturer by taking EEC423 Control Engineering 1 lectures, for a class of over 54 Higher National Diploma students.• Taught EEC212 Circuit Theory 1 to about 15 National Diploma students requiring additional help, improving overall success in the coursework.• Graded all the courses mentioned above, published results, and provided written feedback and ideas for performance improvement. Show less

    • COVENANT UNIVERSITY CENTRE FOR RESEARCH, INNOVATION & DISCOVERY

      Sept 2019 - Jan 2021
      Research Intern

      Key Achievements• Researched the Transmit Power of a Universal Software Radio Peripheral Using GNU Radio Framework and a Handheld RF Explorer, published a conference paper https://iopscience.iop.org/article/10.1088/1755-1315/655/1/012006.• Conducted research on Automatic Modulation Recognition Using Cepstrum Descriptors and Feed -Forward Artificial Neural Network and then using Constellation Diagrams with Convolutional Neural Network.• Assisted with LeafsnapNet: An Experimentally Evolved Deep Learning Model for Recognition of Plant Species based on Leafsnap Image Dataset, published a journal paper https://thescipub.com/abstract/jcssp.2021.349.363.• Assisted with Experimentations with OpenStack System Logs and Support Vector Machine for an Anomaly Detection Model in a Private Cloud Infrastructure, published a conference paper https://ieeexplore.ieee.org/document/9183878. Show less

    • Norfolk State University

      Jan 2021 - May 2022
      Graduate Research Assistant

      MS Electronics EngineeringKey Achievements• Worked at Micron-NSU Nanofabrication Cleanroom in utilization of Mask Aligner, Reactive Ion Etching, Photolithography, Thermal Evaporator (Physical Vapor Deposition) and Scanning Electron microscope (SEM).• Taught undergraduate students and high school teachers how to use MATLAB for SEM image processing to obtain the effective index of silicon nanowires on silicon substrates in the National Science Foundation Bio-Sensing Research Experience for the Research Experience for Undergraduate/Teachers (REU/RET) Project. • Explored image and video processing algorithms for the segmentation of blur micrographs of human cells trapped and imaged using an optical stretcher. Show less

    • Netflix

      Aug 2021 - Dec 2021
      Netflix Data Science Bootcamp

      Key Achievements· Performed data analysis on automobile and car rental users’ data through Jupyter, Pandas, Keras, Tensorflow, Seaborn, Matplotlib, and Numpy. Did JSON data querying, simple and multiple regressions, and collaborated through GitHub · Executed ETL data engineering with PgAdmin database and SQL coding to make the data meet the requirements specified for further analysis. Fixed data management time by computing with PySpark · Developed prediction models using Sklearn and Seaborn for statistics, logistic regression, random forest classification. Accomplished a model with 88% accuracy and minimal type ll error (0.03). Show less

    • Intel Corporation

      May 2022 - Nov 2022
      TD Module & Integration Yield Engineer Intern
    • Intel Corporation

      Jan 2023 - now
      • Process Integration and Yield Engineer

        Sept 2023 - now
      • NAND Product Development Engineer

        Jan 2023 - Aug 2023
  • Licenses & Certifications

    • Neural Networks and Deep Learning

      DeepLearning.AI
      Aug 2021
      View certificate certificate
    • Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

      DeepLearning.AI
      Feb 2022
      View certificate certificate
    • Introduction to Machine Learning by Duke University

      Coursera
      Jun 2021
      View certificate certificate
  • Honors & Awards

    • Awarded to Sunday Ajala
      Award of National Merit Scholarship Total E&P Nigeria Limited Jun 2013
    • Awarded to Sunday Ajala
      Shell University Merit Scholarship Shell Petroleum Development Company, Nigeria. Apr 2012
    • Awarded to Sunday Ajala
      Second Prize Winner, National Cowbell Mathematics Competition, Oyo State, Senior Category Promasidor Nigeria Limited Jun 2008