ananda andiati User

Led a store team of 4 members, overseeing daily operations, performance, and development. Drove store revenue growth, achieving up to IDR 1.57 billion in monthly sales and a record-high 10% conversion rate.

Achieved store sales targets with consistent performance, contributing up to 99% of overall store achievement. Managed inventory and sales performance by analyzing key metrics such as Day of Stock and Average Order Value.

Conducted data cleaning and preprocessing using Microsoft Excel and Power BI. Designed and presented interactive data visualizations in Power BI to support business decision-making.

Generated over 50% profit margin by leading merchandise sales operations. Built and sustained partnerships with 10+ major stakeholders including CGV, TIX, and Wonderful Indonesia.

Led end-to-end ML workflows including data cleaning, feature engineering, model training, and performance evaluation. Created interactive Tableau dashboards to visualize findings and enable data-driven decision-making.

Delivered three successful performances of the original play Violet to audiences of 1,000 per show. Collaborated with directors, choreographers, and cast members to refine staging and performance.

Planned and executed ESG-focused webinars end-to-end, defining themes, coordinating speaker lineups, and managing tech logistics. Liaised with subject-matter experts and partners to secure guest speakers.

Ongoing Data Science course on Udemy, currently in progress as of November 2026.

Completed a 3-month English for Administration course, achieving a B1 TOEFL ITP score and gaining practical business English skills.

Completed a 2-month Data Science course, building a machine learning model to predict property prices and gaining hands-on experience in data management and Python.

Activities and societies: Relevant coursework: Digital Marketing for Manager (A), Testing and System Implementation (A), Business Process (A)

Bachelor of Information Systems with no coursework left. Thesis on geospatial and Pareto best analysis for predicting market potential of fiberoptic networks.