Maulana Aryo
@maulanaaryo
Digital marketing enthusiast with proven experience in enhancing brand awareness.
What I'm looking for
I am a digital marketing enthusiast with a strong track record in enhancing brand awareness and engagement. My experience includes a successful internship at PT. Telkom Indonesia, where I created and edited trend-based social media content that boosted engagement by 20% in just one month. This role honed my skills in content creation and digital marketing strategies, particularly on platforms like Instagram and TikTok.
In my subsequent role at PT Nusantara Sakti Group, I led a team to exceed branch sales targets in under a month, demonstrating my leadership and operational management capabilities. I also focused on training team members to enhance customer service and operational efficiency, while implementing effective marketing strategies that improved customer engagement through targeted campaigns. My academic background in Informatics from Telkom University further solidified my analytical skills, particularly through my research on Convolutional Neural Networks for image recognition.
Experience
Work history, roles, and key accomplishments
PIC Gadai Sakti
PT Nusantara Sakti Group
Aug 2023 - Oct 2023 (2 months)
In my role at PT Nusantara Sakti Group, I led a team to exceed branch sales targets in under a month. I trained team members to improve operational efficiency and customer service, while implementing effective marketing strategies to boost customer engagement.
Digital Marketing Intern
PT. Telkom Indonesia
Jul 2022 - Aug 2022 (1 month)
As a Digital Marketing Intern at PT. Telkom Indonesia, I created and edited trend-based social media content using Adobe Premiere Pro and Photoshop, leading to a 20% increase in engagement. I also collaborated on digital marketing strategies to enhance brand visibility on Instagram and TikTok.
Education
Degrees, certifications, and relevant coursework
Telkom University
Bachelor of Science, Informatics
2019 - 2023
Conducted a journal research study titled Convolutional Neural Network Method Accuracy Analysis in Detecting Greek Alphabet Letters, showcasing expertise in applying data science methodologies for image recognition and analysis. The project emphasized the use of Convolutional Neural Networks (CNNs) to improve detection accuracy, reflecting strong problem-solving and analytical skills.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
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