Nida Zakia Aldina

Experience

• 

  Badan Eksekutif Mahasiswa Fakultas Ilmu Komputer UPNVJ

  Jan 2021 - Dec 2022

  • Led a team of 4 staff in successfully executing 3 major work programs and 2 non-work initiatives, including national and faculty-level events.• Spearheaded the organization of a national-level technology webinar with 311 participants, enhancing knowledge exchange on current tech trends.• Organized a faculty-level webinar focused on writing for the Student Creativity Program (PKM), attended by 341 students, providing guidance to help students prepare successful proposals for university-level competition.• Oversaw academic mentoring, training sessions, and information dissemination, fostering academic growth and collaboration within the faculty. Show less

  • Head of Academic Division

    Jan 2022 - Dec 2022

  • Secretary

    Jan 2021 - Jan 2022
• 

  Kampus Merdeka

  Jul 2021 - Oct 2021

  Kredensial Mikro Mahasiswa Indonesia (KMMI) - Technopreneurship
• 

  FIKFAIR 2022

  Apr 2022 - Dec 2022

  Head of Social Media Management

  • Led the Social Media Management Division, overseeing strategy and content across Instagram, Twitter, TikTok, and YouTube Shorts to maximize engagement.• Developed and monitored video content that enhanced audience growth and interaction, with a focus on creating engaging and relevant material.• Designed visually appealing Instagram stories and other assets using Canva to maintain a cohesive brand aesthetic and boost audience retention.

• 

  Bangkit Academy led by Google, Tokopedia, Gojek, & Traveloka

  Feb 2023 - Jul 2023

  Machine Learning

  • Gained expertise in Python, data analysis, data visualization, and machine learning, focusing on identifying patterns, building models, and applying deep learning techniques. Specializations included: - TensorFlow: Data and Deployment by DeepLearning.AI on Coursera - DeepLearning.AI TensorFlow Developer by DeepLearning.AI on Coursera - Machine Learning by Stanford University & DeepLearning.AI on Coursera - Mathematics for Machine Learning by Imperial College London on Coursera• Dedicated 8+ hours daily to mastering advanced topics and meeting demanding deadlines. Actively engaged in collaborative team projects, developing strong soft skills while delivering high-quality work within tight timeframes. Achieved a final grade of A, demonstrating strong time management and academic performance. Successfully became one of the students who got the opportunity and passed the TensorFlow Developer Certificate• Developed a deep learning model using Convolutional Neural Networks (CNN) with over 3,000 images, achieving a training accuracy of 96% and testing accuracy of 93.77% for the Capstone Project. Successfully deployed the model in .h5 format. Show less