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Data Analyst with 4+ years in Data Analytics & Machine Learning
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Results-driven Data Analyst with 4+ years of experience in data analytics, ETL development, business intelligence, and AI-driven solutions. Skilled in transforming complex data into actionable insights through data visualization, automation, and advanced analytical techniques. Experienced in designing end-to-end ETL pipelines, developing interactive dashboards, and collaborating with cross-functional stakeholders to support strategic business decisions and operational excellence.
Institut Teknologi Sepuluh Nopember (ITS) Surabaya
Bachelor of Statistics · Statistic
August 1, 2016 – June 30, 2020
Modena
Data Analyst
December 1, 2025 – June 1, 2026
DKI Jakarta, Indonesia
PT. Technology Aksara Nusantara
Data Analyst
March 1, 2025 – December 1, 2025
Tangerang, Indonesia
PT. Teknologi Artifisial Indonesia
Mentor Bootcamp Indonesia AI – Part Time
August 1, 2024 – December 1, 2025
Indonesia
Telkom Indonesia
Data Analyst – BigBox
September 1, 2022 – March 1, 2025
DKI Jakarta, Indonesia
Telkom Indonesia
Technical Support – Tribe Big Data and Smart Platform
November 1, 2020 – August 1, 2022
DKI Jakarta, Indonesia
One Flux - Mitratel
March 1, 2025 – December 1, 2025
Develop Python automation scripts for retrieving and processing geospatial data from DUKCAPIL API, ensuring seamless authentication, data validation, and storage
PMT (Pusat Monitoring Telekomunikasi) - Komdigi
March 1, 2025 – December 1, 2025
Leverage Python, SQL, PostGIS, and geospatial libraries for end-to-end data processing and automation
Telkomsel
March 1, 2025 – December 1, 2025
Build interactive dashboards using Google Looker Studio and Apache Superset to visualize complex geospatial and business data
DPMPTSP (Dinas Penanaman Modal dan Pelayanan Terpadu Satu Pintu Kota Semarang)
September 1, 2022 – March 1, 2025
Analyzing data related to capital investment using MySQL programming language. It will give insight in the form of graphic visualization on the DPMPTSP Semarang dashboard.
PT ASDP Indonesia Ferry
September 1, 2022 – March 1, 2025
Creating a dashboard for monitoring FRAUD and a dashboard for monitoring NATARU (Natal dan tahun Baru).
KPU (Komisi Pemilihan Umum)
September 1, 2022 – March 1, 2025
Analyzing data related to DAPIL (Dewan Perwakilan) in the form of queries using the MySQL programming language. It will give insight in the form of graphic visualizations on the dashboard.
BAPPENAS for REGSOSEK (Registrasi Sosial Ekonomi)
September 1, 2022 – March 1, 2025
Analyzing data for interoperability. Assists in providing datamarts and queries tailored to the indicators required by REGSOSEK.
BPKP (Badan Pengawas Keuangan dan Pembagunan)
September 1, 2022 – March 1, 2025
There are 13 data sources and each data source needs to be analyzed and then created a data mart which will give insight in the form of dashboard visualization according to BPKP's needs.
PT Pos Indonesia
September 1, 2022 – March 1, 2025
Processing data from PosPay for datamart needs which will later be further processed by Data Scientists for modeling churn and customer lifetime value. The tools used are different from the previous project (using MySQL), in this project using Athena from AWS Amazon
BigVision (Product)
September 1, 2022 – March 1, 2025
Assisting in the development of BigVision products (CCTV Analytics using AI). Grab images and videos from existing CCTV from several use cases. Produce insights in the form of graphic visualizations on dashboards for Big Vision products such as Water Level Detection, Safety Apps etc. Forecasting data from vehicle counting results and the forecasting results will appear in graphic on the dashboard of Big Vision.
Foundations of Business Intelligence
January 1, 2024 – Present
Get Started with Python
January 1, 2024 – Present
Foundations of Data Science
January 1, 2024 – Present
Translate Data Into Insight
January 1, 2024 – Present
Advance Data Analytics Capstone
January 1, 2024 – Present
Analitik Data Google
January 1, 2023 – Present
Konferensi Big Data Indonesia
Unknown
January 1, 2022 – Present
Cultural Fit Analysis
The candidate has diverse project experience across various industries (telecommunications, government, product development, logistics), indicating adaptability and a broad understanding of different business contexts. Their involvement in AI-driven solutions and machine learning mentorship aligns well with a forward-thinking, data-driven culture. The range of tools and technologies used suggests a willingness to learn and apply new skills.
Soft Skills & Operational Fit
The candidate demonstrates strong collaboration skills through stakeholder engagement and cross-functional team work. Their experience as a trainer and mentor suggests good communication and leadership potential. The psychometric test score is low, which might indicate potential challenges in logical reasoning, stress handling, or team collaboration, requiring further investigation.