Khoirul Amar Sidik

Experience

Work Experience

Dec 2025 - Present

Data Analytics

PT Bank Tabungan Negara Tbk (Digital Operations Division)

Menara 1 BTN, Jakarta Pusat

Processed and monitored 10+ digital channel performance data using Microsoft Excel (advanced formulas, pivot tables, data visualization), SQL, and Power BI to support operational reporting and performance analysis.
Developed real-time monitoring dashboards in Grafana to enhance visibility into digital channel performance and support faster issue detection and operational response.
Improved data reliability and operational stability by enhancing monitoring processes for digital banking services, supporting more accurate data and enabling faster data-driven decision-making, delivering an estimated 20% improvement in monitoring effectiveness and data reliability.

Aug 2025 - Dec 2025

Data Engineer - Digistar Internship Program

PT Telekomunikasi Indonesia Tbk (Tribe OSS BKPM)

PaDi UMKM Headquarters, Jakarta Selatan

Built a real-time Change Data Capture (CDC) pipeline from PostgreSQL to ClickHouse using Debezium to support analytical workloads, enabling near real-time data availability and reducing data delivery latency by approximately 15-20%.
Monitored and optimized data pipeline performance using Grafana, ensuring stable data replication and low-latency processing, while troubleshooting and tuning replication and ingestion processes to maintain data consistency and accuracy.
Developed and orchestrated data workflows using Apache Airflow for data ingestion, transformation, and dataset validation, handling end-to-end orchestration for 5+ data pipelines with automated validation checks.

Feb 2024 - Jul 2024

Data Scientist, Data Analyst - MSIB Program

PT Telekomunikasi Indonesia Tbk (IndiHome Product Team)

STO Gambir, Jakarta Pusat

Extracted and analyzed data from databases using SQL and Python to support business and product analysis.
Developed machine learning models and LLM-based sentiment analysis to generate insights into customer behavior and product perception, achieving up to 90% model accuracy.
Conducted RFM (Recency, Frequency, Monetary) analysis to identify high-value customer segments and support targeted upselling strategies.
Delivered data-driven insights and recommendations that contributed to approximately 15% growth in add-on upselling revenue.
Designed and maintained Looker Studio dashboards for monitoring of sales performance, customer personas, segmentation, product recommendations, sentiment trends, and conversion funnels.

Organization

Jan 2023 - Jan 2024

Survey and Research Division, Academic Department

Himpunan Mahasiswa Sains Data (HMSD) ITERA

Led the "HMSD Satu Data" initiative to centralize and integrate organizational datasets, improving data accessibility and supporting data-driven decision-making.
Conducted surveys and data analysis to support departmental planning and evaluation through statistical reporting.
Coordinated the technical execution of L3C and POSTAT competitions during ITERA Data Science Week 2023 as Head of Competition Division, ensuring smooth event operations and participant engagement.

Training & Bootcamp

Statistics & Data Analysis

Pacmann Academy

Experimental Design and A/B Testing
Sampling
Data Wrangling & SQL
Probability
Introduction to Data & Visualization
Python

Pacmann Certificate

Data Science Academy

COMPFEST 15

Camp 1: Intro to Data Science, Statistics, Data Cleaning, EDA

Camp 2: Machine Learning, Supervised & Unsupervised Learning, Hyperparameter Tuning, Deep Learning

Camp 3: Tableau & Data Storytelling

COMPFEST Certificate

Data Science Learning Path

Dicoding Indonesia

Structured Query Language (SQL)
Git and GitHub
Machine Learning

Dicoding Certificate

Projects

Grafana SQL Excel

Digital Banking Channel Monitoring & Operational Analytics Platform

Developed real-time monitoring dashboards using Grafana, SQL, and Excel to track digital banking channel performance and support operational reporting and data-driven decision-making.

Internal Project BTN

CDC Debezium PeerDB

Real-Time Data Replication Pipeline

Built and maintained a real-time Change Data Capture (CDC) pipeline from PostgreSQL to ClickHouse using Debezium, enabling high-throughput analytics with improved data consistency and reducing data delivery latency by approximately 15-20%.

Internal Project Telkom

Looker Studio Analytics BI

IndiHome Sales, Customer, and Product Analytics Dashboard

Designed and maintained interactive dashboards using Google Looker Studio to monitor sales performance, customer segmentation, product recommendations, sentiment trends, and conversion funnels, supporting data-driven product and marketing decisions.

Internal Project Telkom

RFM Analysis Machine Learning Segmentation

IndiHome Customer Segmentation & Upselling Optimization

Applied RFM analysis and machine learning models to identify high-value customer segments, generating actionable insights that supported targeted upselling strategies and contributed to approximately 15% increase in add-on revenue.

Internal Project Telkom

Computer Vision MobileNetV2 CBAM

Classification of Oil Palm Fresh Fruit Bunch Ripeness Based on Images Using MobileNetV2 Architecture with Convolutional Block Attention Module (CBAM)

Developed an attention-enhanced CNN model for image-based ripeness classification, achieving 98% classification accuracy and improving feature focus through Convolutional Block Attention Module (CBAM).

Bachelor's Thesis

YOLOv8 OMR Computer Vision

YOLOv8-Based Optical Mark Recognition (OMR) for Automated Ballot Reading and Counting in General Elections

Developed an Optical Mark Recognition (OMR) model using YOLOv8 with image processing techniques and hyperparameter tuning, achieving near-perfect prediction performance with a Mean Absolute Percentage Error (MAPE) of 0.0000 on test data.

DSC IPB 2024

Dashboard Tableau Environmental Data Analytics

Urban Heat Island & Albedo Effect Analytics Dashboard

Built an interactive dashboard to analyze and visualize urban heat island patterns and albedo effects using meteorological and environmental data.

KKN Project

Data Science Product Design

EcoLung: A Digital Solution in the Midst of Air Pollution

EcoLung is a collaborative project led by a multidisciplinary team at Data Science Academy COMPFEST 2023, integrating data science, user experience, product management, and software engineering to address air pollution challenges.

COMPFEST 15