Curriculum Vitae
Education
Master of Science in Statistics and Data Science Sep 2021 - Aug 2024
IPB University
- Thesis: Classification Modeling with RNN-based, Random Forest, and XGBoost for Imbalanced Data: A Case of Early Crash Detection in ASEAN-5 Stock Markets
- Honors; Cum Laude
Bachelor of Economics in Islamic Economics Sep 2016 - Aug 2020
IPB University
- Thesis: The Integration of Islamic Stock Markets of OIC Countries during the China Stock Market Crisis and the US-China Trade War
- Honors; Cum Laude
Non-Formal Education
AI/ML Engineer Des 2023 - Des 2024
Pacmann Academy
Professional Experience
Data Consultant Jul 2020 – Present
Specialized in econometrics and quantitative methods for academic research and policy analysis, adept at using statistical software such as STATA, EViews, R, and Python.
Contributions:
- Assist academic researchers with data analysis.
- Deliver webinars, training sessions, and private consultations.
- Conduct research projects for government institutions and ministries.
- Successfully completed over 100 projects.
Socio-Economic Impact Analysis of Subsidized Fuel Restrictions Feb 2024 - Aug 2024
PT Pertamina (Persero)
Focused on assessing the socio-economic impacts of subsidized fuel restrictions, including effects on poverty, unemployment, inflation, and economic growth.
Contributions:
- Performed regression analysis to assess the effects of price changes on inflation and unemployment.
- Employed microsimulation analysis using SUSENAS data to evaluate the impact of fuel restrictions on poverty levels.
- Analyzed input-output data to explore the implications for economic growth.
Developed Best Outlier Detection Formula for Integrated Commercial Bank Reports Jun 2024
Bank Indonesia
The primary focus of this project was introducing various statistical methods for outlier detection. Additionally, the workshop featured hands-on practical sessions using Python. The two-day event was held in Lombok, Indonesia.
Contributions:
- Delivered theoretical knowledge on basic programming languages and outlier detection methods, encompassing classical statistics to machine learning and deep learning techniques.
- Led practical sessions to identify and implement the most effective outlier detection method for Integrated Commercial Bank Reports data.
Food Price Analysis May 2023 - Nov 2023
Indonesia Competition Commission (KPPU)
Analyzed the price transmission mechanism of 10 selected commodities by building models using the Nonlinear Autoregressive Distributed Lag (NARDL) model.
Contributions:
- Applied NARDL models in R to analyze price transmission mechanisms across 10 selected commodities at the national level, focusing on interactions among producers, wholesalers, traditional markets, and modern markets.
- Conducted training sessions on basic R programming and RStudio, emphasizing the theoretical foundations of ARDL and NARDL models.
- Created project reports and presentations.
Statistics and Econometrics In-House Training (IHT) Oct 2022
Bank Indonesia Institute (BINS)
Conducted training on statistics and econometrics tools, covering courses such as univariate time series, multivariate time series, and panel data using RStudio.
Contributions:
- Developed R syntax templates for econometric methods, including ARIMA, ARCH/GARCH, VAR, VECM, and panel data models with both fixed and random effects.
- Assisted doctors and professors as a teaching assistant during practical sessions.
Customer Classification and Sector Mapping Study Feb 2022 - Aug 2022
PT. Pegadaian
Developed customer classification model based on the probability of default using logistic regression. Conducted sectoral mapping of non-pawned products for each regional office of PT. Pegadaian. This analysis provided a foundation for policymaking.
Contributions:
- Assisted in data analysis using Excel and STATA.
- Led dissemination and knowledge transfer sessions.
Baseline Survey YESS Program Jul 2020- Nov 2020
Ministry of Agriculture
Worked as a supervisor and research assistant for the Youth Entrepreneurship and Employment Support Services (YESS), a collaborative program between the Ministry of Agriculture and the International Fund for Agricultural Development (IFAD), aimed at developing young entrepreneurs and a reliable workforce in the agricultural sector.
Contributions:
- Assisted in field surveys for data collection.
- Conducted data analysis using Excel.
- Wrote comprehensive reports.
Skills
Hard Skills
- Programming Languages: R, Python, SQL, Markdown
- Web Development: Quarto
- Other Software: STATA, EViews, SPSS
- Econometrics with R (Time Series, Panel Data, Spatial, Survey Data)
- Machine Learning (Ensemble Methods)
- Deep Learning (RNN, GRU, LSTM)
- Data Visualization (ggplot2, plotly)
- Parameterized Reporting (R Markdown, Quarto)
- Academic Writing
Soft Skills
- Project Management (Obsidian, Notion)
- Adaptability
- Problem-Solving
- Work Efficiency
Publications
Undergraduate Thesis
Master Thesis
- Pemodelan Klasifikasi dengan RNN-based, Random Forest, dan XGBoost untuk Data Tidak Seimbang: Kasus Deteksi Dini Tekanan di Pasar Modal ASEAN-5
- Code: GitHub
Books
Research Paper
Teaching & Advising
Instructor at QR Lab Training Center 2022 - Present
[IPB University – Department of Economics]
Teaching Assistant in Econometrics 2019 - 2022
[IPB University – Department of Islamic Economics]
Teaching Assistant in Quantitative Methods 2019 - 2022
[IPB University – Department of Islamic Economics]
Assistant to Prof. Muhammad Firdaus 2020 - 2022
[IPB University]
Honor & Awards
- Jabar Future Leaders Scholarship Sep 2021
- Oral presentation - 12th International Conference on Islamic Economics & Finance Aug 2020