Rizki Anwar Syaifullah

Conducting quantitative analysis on the impact of ESG metrics on financial performance, utilizing machine learning techniques to analyze correlations with financial indicators.

Designed a machine learning pipeline to segment Walmart's e-commerce customers, applying various classification models and achieving significant accuracy for targeted marketing strategies.

Developed machine learning models to predict quality of life scores, enhancing model performance through feature engineering and SHAP analysis. Designed visualizations to present insights for policy recommendations.

Designed an interactive dashboard using Tableau Public to explore Netflix data insights, analyzing key metrics and showcasing findings through intuitive visualizations.

Led a team to manage content creation and publicity, building partnerships with various student associations and enhancing communication strategies.

Activities and societies: Thesis Research: Exploring the Impact of ESG Metrics on Financial Performance in South Korean and Indonesian Companies.

Deepening knowledge in data analytics, machine learning, and their application to business decision-making through coursework and projects. Building proficiency in Python, machine learning models, and statistical analysis through hands-on learning and assignments.

Exchange Student of Erasmus+ KA107 for Summer Semester 2022. Engaged with the Erasmus Student Network.

Grade: 3.94/4.00

Activities and societies: Appointed as the Head of Communication and Information Department of Student Association of Management for 1 year. Participant in National Student Science (PIMNAS) 2021.

Specialization in Finance with a strong academic performance, achieving a GPA of 3.94/4.00. Participated in an exchange student scholarship program by Erasmus+ to University of Zagreb for 6 months.