Kementerian BUMN dan Forum Human Capital Indonesia (FHCI) bersinergi dengan seluruh BUMN di Indonesia untuk dapat memberikan kesempatan magang bagi mahasiswa dan fresh graduate baik lulusan dalam negeri maupun luar negeri.
I have over two years of experience working as a data engineer. I am currently studying data analysis in the biological domain at the University of Copenhagen. Previously I worked at Tokopedia, helping to build a data tracking test platform and data
Juni 2024
University of Copenhagen
S2•BIOINFORMATIC•
IPK 3.71
Agustus 2019
Institut Teknologi Bandung
S1•Teknik Biomedis•
IPK 3.73
Desember 2023 - Februari 2024
Bioinformatics Intern (PRS)
NalaGenetics•Magang
Implemented a Nextflow pipeline for Polygenic Risk Scoring (PRS) data preparation integration with NCBI ClinVar database
Executed client's ad-hoc requests, including variant annotation using Illumina's Nirvana and variant exploration via Nalagenetics' internal PRS pipeline
Januari 2023 - Maret 2023
Junior Researcher
Verified intern of
PT Bio Farma (Persero)•Magang
Maret 2022 - Juli 2022
Data Engineer
Ula.app•Full Time
Streamlined business operations by standardizing and documenting data dictionary across all departments for improved efficiency
Optimized the data warehouse by applying partition and clustering rules, implementing new tables’ schema, and enforcing stringent access controls, resulting in a 40% reduction in monthly costs
Ingested 2 data sources from AppsFlyer using GCP Dataflow and 5+ AWS RDS databases using AWS Kinesis into the data warehouse
Created and maintained 30+ basic data processing, transformation pipelines, and dashboards in Redash
Juli 2020 - Februari 2022
Data Engineer
Tokopedia•Full Time
Significantly reduced data discrepancies between client and server-side data from 30% to 5% by performing analysis and investigation of more than 1000 analytical events
Built a simple data lake anomaly monitoring tool using Airflow, Google Data Studio, and Slack API, which reduced issues acknowledged time from one week into one day
Collaborated with web and QA engineers to develop an internal tool aimed at automating client-side data dictionary requests and testing, reducing new client-side event(s) creation by up to 50%
Maintained and built a data dictionary consisting of client-side events to guarantee consistent data standards across all business units
Performed ad-hoc requests and consultancies of Google Analytic client-side events from all business units in Tokopedia