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Seleksi dan Penerimaan

Cara Melihat Status Pendaftaran
Curriculum Vitae

Abdullah Faqih Al Mubarok

Abdullah Faqih Al Mubarok

Kab. Cirebon
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Portfolio

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 Logo Magenta

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

Hard Skills:
Analisa Data
Machine Learning
Cloud Computing
Python
R Programming

Soft Skills:
Komunikasi
Adaptive
Commitment
Discipline