Reivin Eriyanti

Performed customer data verification and validation to ensure data accuracy and compliance with company procedures. Identified data inconsistencies and potential fraud indicators to support credit risk analysis.

Performed exploratory data analysis (EDA) using Python and Excel to identify customer behavior patterns and credit risk trends. Developed interactive dashboards and analytical reports using Tableau and Excel to communicate business insights effectively to stakeholders.

Analyzed and interpreted datasets from various sources to produce informative infographics and data-driven content. Assisted in preparing data reports and visual presentations for public information and educational purposes.

Facilitated team-building and leadership development programs for 30+ members to enhance collaboration and internal communication. Monitored and maintained internal member performance data, tracking attendance and engagement metrics to support internal evaluation.

Performed data preprocessing, labeling, and validation to prepare image datasets for machine learning model development. Developed and evaluated machine learning models using Python to analyze image datasets and improve model performance.

Processed and organized regional economic and financial datasets using Microsoft Excel to ensure data accuracy and consistency. Conducted data cleaning and validation before analysis and reporting.

Successfully mentored and guided 12 new students during the orientation period.

Coordinated cross-campus collaborations and visits with student associations from 8 universities. Organized seminars featuring speakers from the Ministry of Finance and Tokopedia (100+ participants).

Managed high-volume administrative tasks, including data entry, event scheduling, and formal documentation for 100+ participants. Compiled, structured, and archived participant databases using Microsoft Excel to ensure data integrity for post-event evaluation reports.

Grade: 3.66/4.00

Activities and societies: Actively involved in leadership and organizational development alongside academic excellence.

Pursued a Bachelor of Statistics with a GPA of 3.66/4.00. Completed coursework in statistical quality control, decision analysis, and data mining, and developed a final project comparing deep learning models for plant disease classification.