Experience

National Public Procurement Agency of Indonesia (NPPA)

Product Manager • Jan, 2018 — Des, 2021

I was a product manager of the e-procurement support applications. I have been involved in more than six challenging products for four years. Furthermore, my responsibilities were as follows

  • Defined, measured, and analyzed key metrics that informed product success
  • Created product plans, including its roadmap, measurement, prioritization, and deliverables based on government vision and market opportunity
  • Planned, managed, led, and monitored end-to-end development lifecycle by working closely with the system analyst, programmers, operation, quality assurance and control application, technical writer, UI/UX, and helpdesk team
  • Gathered and analyzed user requirements of e-procurement applications from stakeholders, which are vendors and government employees in procurement
  • Translated user requirements, especially requirements derived from regulations, into executable work items like Product Requirement Documents on JIRA or Gitlab Board
  • Discussed, groomed, and assessed products continuously through direct engagement with stakeholders to understand their needs
  • Projects SIKaP (Vendor Management System), Centrum (Non-Vendor Management System), LPSE Support (Customer Relationship Management), DCE (Data Collection Engine & Procurement Dashboard), ISB (Procurement’s API Gateway), and Inaproc (National Procurement Website)

National Public Procurement Agency of Indonesia (NPPA)

Data Analyst • Jan, 2018 — Dec, 2021

I was a data analyst of the e-procurement applications. I have queried, analyzed, and visualized data for four years to evaluate and improve the quality of existing products. Furthermore, my responsibilities were as follows

  • Used an analytical method to analyze patterns, behaviors, and opportunities in a complicated and huge number of procurement data
  • Did pre-processing huge and complex procurement data on database level
  • Queried and analyzed product data to gain insights regarding products that need to be improved
  • Conducted quantitative analysis to solve business problems
  • Delivered insight and recommendations to the upper management based on finding from the data
  • Projects DCE (PostgreSQL), Analyzing Annual Performance Evaluation (R Language), SIKaP (PostgreSQL), LPSE Support (MariaDB), and Inaproc (MariaDB)

National Public Procurement Agency of Indonesia (NPPA)

IT Helpdesk Analyst • Apr, 2017 — Des, 2017

I participated in e-procurement system, my responsibilities were as follows

  • Queried and analyzed data errors in the e-procurement system
  • Provided an insight based on analysis to the upper management
  • Handled the ticket problem
  • Did a User Acceptance Test of the e-procurement system
  • Trained users using the e-procurement system

PT Cinovasi Rekaprima

IT Business Analyst • Aug, 2015 — Sept, 2016

I managed several projects, my responsibilities were as follows

  • Gathered and analyzed clients' business process requirements to match system objectives
  • Managed teams that consisted of developers, operations, technical writers, and application testers teams.
  • Queried and analyzed client's data and giving insight to the clients
  • Created a stored procedure
  • Projects iPorts (Pelindo IV) and Financial Quarterly Report (SKK Migas)

Education

University of Helsinki

Master of Data Science • 2021 — present

  • Current GPA 3.83
  • Specialization Studies Machine Learning, Statistical Data Science, and Human-Computer Interaction
  • Projects Predicting graffiti using city layout (Python) [link], Predicting traffic in Guangzhou China (Python), Predicting NPF in a forest (R), News topic classification (PyTorch), and Accidental injuries project UX design.
  • Report Paper Blockchain Application in the Government and Sustainable Energy Sector [pdf]

Institut Teknologi Sepuluh Nopember

Bachelor of Informatics Engineering • 2010 — 2015

  • Current GPA 3.20
  • Specialization Studies Intelligent Computing and Visualization
  • Projects Finding Crime and Disaster based on tweet (Python), Predicting Service Center 311 in Vancouver (Python), and Recognition of Motor Vehicle-License Plate Using Template Matching (Matlab).
  • Thesis Settlement Scheduling No-Wait Flow Shop Use the Metaheuristic Method Genetic Algorithm and Tabu Search (Matlab) (Grade A) [pdf]

Projects

Predicting Traffic in Guangzhou, China

Associated with MSc. Data Science, University of Helsinki

Data Scientist & Data Engineer • Python • Jan 2022 — May 2022

The delivery product is a model that gives good enough accuracy with less cost, including the run time of the model's training. This project consists of four people. My responsibilities were

  • Explored the causes of traffic from variables that were given
  • Tried several models that could give good enough accuracy
  • Created a data pipeline on Amazon Web Service
  • Monitored and analyzed computing costs between models

News Topic Classification

Associated with MSc. Data Science, University of Helsinki

Data Engineer • PyTorch • Feb 2022 — Apr 2022

This project's purpose is to classify multi-label news topics on each document. Each document is in XML format. This project consists of three people. My responsibilities were

  • Created a pipeline to process the classification on CSC's High-Performance Computing (HPC)
  • Monitored and analyzed computing costs on CSC's HPC

Analyzing Annual Performance Evaluation

Associated with National Public Procurement Agency of Indonesia

Data Analyst • R Language • Dec 2021 — Jan 2022

This project aims to measure employee performance. NPPA has three types of employees, namely individual consultants, consulting firms, and other services. With an annual performance evaluation that is analyzed in-depth like this, upper management can gain insight to determine what actions need to be taken to manage employees in the future. This project was purely my own initiative without any orders from others because I saw that there was no good scoring and evaluation system at that time. These assessment parameters will be continuously updated according to the work environment.

Predicting New Particle Formation (NPF) in Forest

Associated with MSc. Data Science, University of Helsinki

Data Scientist • R Language • Oct 2021 — Dec 2021

This project aims to figuring out when the NPF Events occur and classifying the NPF events. This project consists of two people and use R language. My responsibilities were finding the correlation between variables, tried the dimension reduction, tested classifiers, and estimated classifiers. The methods that are used were

  • Created a correlation between variables
  • Analyzed correlation between all datasets (mean and std.)
  • Used Principal Component Analysis for the dimension reduction due to the nature of how it derives its factors
  • Tested classifiers using discriminative (Support Vector Machine) and generative (Naive Bayes)
  • Estimated the performance of the classifiers using two metrics":" Accuracy and perplexity
  • Made the estimates more generalizable to the test set using k-fold cross validation

Associated with MSc. Data Science, University of Helsinki

Data Analyst • Python • Sep 2021 — Oct 2021

This project analyzes what city properties correlate with graffiti generation in Vancouver, CA. This project consists of three people. My responsibility in this project was to explore the relationship and correlation between variables so that we could focus on the causes of graffiti further.

Associated with National Public Procurement Agency of Indonesia

Product Manager • - • Jan 2019 — Dec 2021

Sistem Informasi Kinerja Penyedia (SIKaP) is a vendor managemet system. I led releasing two major versions of SIKaP, 2.0 and 3.0. Some major features are vendor registration, vendor and buyer assessment, public search for vendors, transparency of change history and data verification, and integration data with several ministries, such as the Ministry of Finance, Investment Coordinating Board, and Ministry of Public Works and Public Housing.

This project is the most challenging for me. Why challenging? Because there were many things to be done in technical and non-technical aspects. For example, vendor registration features.

  • Technical
  • - Merging two vendor databases was difficult since the two databases have different characteristics. It isn't easy because one database allows one vendor (unique NPWP) to have a different username, and the other doesn't allow that
    - Centralized vendor registration to one app from 346 apps was complex because it needed to update all of the apps, so there wasn't redundancy in vendor registration

  • Non-Technical
  • - There are substitution of directors that made this feature has to be represented again and convinced the new director that the feature was essential for procurement
    - Changing the old vendor registration to the simple one is difficult since it is needed to explain thoroughly that the newer flow is better than the old one

  • Solution
  • - Detailed the pros and cons to the upper management and team
    - Lot of discussion between teams so that the idea is the best one that we can implement
    - Two times a week, discussed the features, from the technicality to the non-technical
    - Detailed task management using GitLab board

    Uniform User Experience

    Associated with National Public Procurement Agency of Indonesia

    Product Manager • - • Jan 2019 — Dec 2021

    This project aims to make it easier for users to use the system created by the NPPA. In addition, in this project, I also focused on making the system friendly to people with disabilities. I started this project because I noticed difficulties for users when using some of the existing systems with different experiences. Meanwhile, unifying all these systems is very difficult because several systems have different requirements, and the complexity is quite difficult. Therefore, this project needs to be implemented in every system so that the system can implement the experience offered by this project.

    Associated with National Public Procurement Agency of Indonesia

    Product Manager • - • Mar 2018 — Sep 2018

    Inaproc is a system that contains all the contents of Indonesia's goods/services procurement. Apart from that, one of its major features is to impose sanctions on vendors by blacklisting them. I led a team of systems analysts, programmers, and technical writers. The challenge for this product is implementing standard regulations into applications. The next challenge is to make a product that is easy to use. If the user has difficulty, it is feared that the user will make an error in displaying this black list.

    Moreover, the users who broadcast this black list are officials whose positions are already very high in their respective agencies. Consequently, an error in the blacklist may prevent the vendor from participating in government procurement throughout Indonesia, and legal action may be taken against the user.

    The solution offered is to match a user-friendly display for these officials. High-ranking officials owned one of the social media that I knew at that time was Facebook. So, I adopted a look and experience similar to Facebook. The following solution is to communicate with users to get a system that suits their needs.

    Skills

    ITIL 2011 v3 Foundation Certification

    ITIL v3 Foundation introduced candidates to the key elements, concepts and terminology found in ITIL [link].

    Tools

    Microsoft Office, Jira, Slack, Miro, Gitlab/Github, Tableau

    Technical

    SQL, Python, R, Amazon Web Service, HTML5/CSS, C++, C

    Non-Technical

    Communication, Teamwork, Leadership, Adaptability, Lateral thinking

    Language

    Bahasa Indonesia (Native), English (Business), German (Elementary)

    Recognition

    Scholarship Awardee for International Master's Study

    The Indonesia Endowment Funds for Education (LPDP) • 2019

    Issued by Indonesian Endowment Fund for Education (LPDP), Ministry of Finance, Republic of Indonesia [link].

    Goethe-Zertifikat B1

    Goethe Institut • 2015

    A German exam for young people and adults. It certifies that candidates are independent users of the German language and corresponds to the third level (B1) on the six-level scale of competence laid down in the Common European Framework of Reference for Languages (CEFR) [link].

    Outside Interests

    • Football
    • Psychology
    • Urban Planning
    • Philosophy
    • Government Procurement