Ade Dwi Aryani Email & Phone Number

Jakarta, Indonesia

Jakarta Raya, Indonesia

Jakarta, Indonesia

- Executed data collection, cleaning, tabulation, and visualization processes from large monthly datasets (2010-2024) in the banking sector, ensuring accuracy and integrity to support research initiatives at Bank Indonesia.- Analyzed data using statistical software (R, Python, and Stata) and machine learning techniques, identifying trends and developing predictive models with over 80% accuracy, enhancing the quality of research in the banking sector.- Contributed to writing four studies in the banking sector, with two published in Bank Indonesia's working paper, providing valuable references for future research and empirical evidence for government banking policies.- Authored an article in Bank Indonesia Epsilon on financial inclusion and monetary policy that received over 33,000 hits and has been cited by three other publications, sparking discussions on economic policy.

Jakarta Selatan, Jakarta Raya, Indonesia

- Conducted research and data visualization on the impact of COVID-19 on micro and small enterprises (MSEs) in Indonesia, resulting in a presentation deck for discussions in the DPR and MPR regarding national economic revitalization in the COVID-19 era.- Facilitated weekly webinars that engaged over 200 MSMEs during the COVID-19 pandemic, providing essential information and support to help these businesses navigate significant challenges.- Collaborated with reporters to conduct in-depth research and gather materials on economic and legal issues, producing over 5 articles monthly that enhanced reporting clarity and credibility and improved audience engagement.

West Java Province, Indonesia

- Facilitated student learning by collaborating with the instructor and other TAs to design and implement engaging recitation sessions that helped over 60 students better understand economic theories.- Managed and evaluated coursework and assessments for multiple classes, ensuring timely feedback and grading to support student progress.- Supported students by responding to inquiries and challenges related to economic theories and applications, fostering a positive learning environment and enhancing communication between students and instructors.

Full Stack Data Analytics, 100/100

- Learned data structures, applied statistical methods, and utilized software like Spreadsheet, SQL, and Python for data manipulation.

S.E, Economics

- Studied economics, statistics, and mathematics, with a minor in functional management. - Actively involved in the Economics.

Full Time Data Science, 89/100

- Studied statistics using Python and SQL, created machine learning projects (both supervised and unsupervised) and deep learning models.