Giffani Rizky Febrian

Designed and delivered weekly statistical computing practicums using R/ Python/ SAS/ SPSS, enabling students to apply analytical methods, visualize data, and interpret real datasets effectively. Developed structured practicum materials aligned with course learning objectives and collaborated with the supervising lecturer to ensure clarity, consistency, and strong academic grounding. Guided students during hands-on laboratory sessions, providing technical assistance, debugging support, and step-by-step explanations for statistical workflows and code implementation.

Co-led the planning and implementation of the Limited Mass Regeneration Program (PMT), strengthening leadership readiness and talent development for new HIMASTA-ITS members.
Directed soft-skills development initiatives for first-year Statistics students, ensuring structured training in communication, teamwork, and organizational adaptability.
Served as the primary liaison between HIMASTA-ITS and the Statistics Department management to ensure smooth coordination and compliance in student development programs.
Fostered departmental harmony by aligning HRD staff workflows, enhancing team collaboration, and supporting effective program execution.

Designed and delivered weekly statistical computing practicums using R/ Python/ SAS/ SPSS, enabling students to apply analytical methods, visualize data, and interpret real datasets effectively.
Developed structured practicum materials aligned with course learning objectives and collaborated with the supervising lecturer to ensure clarity, consistency, and strong academic grounding.
Guided students during hands-on laboratory sessions, providing technical assistance, debugging support, and step-by-step explanations for statistical workflows and code implementation.

Automated monthly passenger and cargo reporting system using Google Apps Script Developed Python scripts to parse and convert PDF-based cargo manifests into structured Excel files Built voyage-based cargo classification logic for improved internal reporting Supported passenger transport operations during embarkation

Automated monthly passenger and cargo reporting system using Google Apps Script
Developed Python scripts to parse and convert PDF-based cargo manifests into structured Excel files
Built voyage-based cargo classification logic for improved internal reporting
Supported passenger transport operations during embarkation

Monitored department-wide work program execution and ensured alignment with organizational timelines, objectives, and strategic performance targets.
Conducted structured performance appraisals and delivered data-driven insights to support planning improvements and decision-making.
Coordinated Monthly Gathering of Functionaries to consolidate cross-department feedback, identify operational issues, and enhance program effectiveness.
Led the compilation, analysis, and reporting of department performance data, producing quarterly analytical reports for internal transparency.
Collaborated with department functionaries to refine program design and execution, strengthening organizational impact and continuous improvement initiatives.

Managed Professional Statistics’s LinkedIn presence by planning and publishing professional content that increased audience engagement and strengthened the organization’s digital identity.
Produced and edited high-quality written content and visual materials using Canva, ensuring clarity, brand alignment, and message effectiveness.
Collaborated with multiple divisions to synchronize publication schedules and deliver timely promotional materials for organizational events and initiatives.

Managed external communications with speakers, judges, and partners, ensuring smooth collaboration and professional stakeholder engagement throughout the event.
Developed streamlined PR workflows and content guidelines that improved team efficiency and shortened publication turnaround time.
Directed all event-facing communication to ensure consistent branding, professional tone, and high-quality promotional output across platforms.