Welcome to my portfolio website!

Hi Everyone, I'm
Adli F. Ibrahim Data Scientist AI / ML Engineer Data Analytics

Experienced Data Scientist with 4+ years of experience across financial services and telecommunications industries. Skilled in machine learning, analytics, and data engineering, with hands-on experience in predictive modeling, large-scale data processing, ETL pipelines, dashboarding, and business insight generation. Proficient in Python, SQL, BigQuery, Spark, and cloud-based (Google Cloud Platform, Amazon Web Services, Cloudera Data Platform) data solutions to support data-driven decision making.

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Experience

Telkomsel

Data Scientist
FEB 2026 - APR 2026
Supported customer retention and Micro Small Medium Enterprise (MSME) acquisition initiatives by developing predictive analytics solutions and machine learning models to improve business targeting effectiveness.
  • Developed a machine learning model for our fixed broadband product to predict customerinitiated subscription cancellations, enabling targeting retention strategies.
  • Designed a Positive-Unlabeled (PU) Learning framework to identify MSME customer from millions of unlabeled users. Generated high-potential MSME leads, supporting data-driven expansion strategy and improving targeting efficiency.

PT. Pegadaian

Data Scientist
SEP 2023 - JAN 2026
Delivered machine learning and analytics solutions across risk, fraud, customer growth, and emerging AI initiatives, partnering closely with business stakeholders to support data-driven decision-making.
  • Advised on model development and analytics, supporting cross-functional teams with the implementation of machine learning and deep learning models.
  • Collaborated with business units on ad-hoc data acquisition and analytics requests.
  • Developed and enhanced credit risk scorecard using Machine Learning Techniques, improving model discrimination (KS +8-12% uplift) and enabling better risk-based approvals.
  • Developed customer segmentation models to identify high-potential customers for digital application adoption, enabling targeted acquisition campaigns.
  • Supported Anti-Money Laundering (AML) compliance by processing and validating large scale datasets, improving data accuracy and audit readiness.
  • Delivered production-grade data pipelines (BigQuery, Cloudera Data Platform, SQL, etc.) and dashboard (Looker Studio).
  • Explored emerging AI technologies, including Large Language Models (LLMs) and Retrieval Augmented Generation (RAG) frameworks, for Generative AI use cases.
  • Developed graph-based models to uncover hidden patterns in customer relationship, improving fraud detection with Neo4j.

Big View by Telkom Indonesia

Data Scientist
MAR 2023 - MAY 2023
Supported geospatial analytics initiatives by applying statistical and machine learning techniques to large-scale satellite datasets.
  • Performed geospatial analysis on large-scale satellite datasets, enabling location-based insights for business use cases.
  • Applied statistical and ML techniques to extract patterns, improving decision support for spatial analysis projects.

Big Legal by Telkom Indonesia

Data Scientist
JAN 2022 - MAY 2023
Developed Natural Language Processing solutions to automate legal document processing and support AI-driven digital transformation initiatives.
  • Developed Natural Language Processing pipelines (spaCy) to process thousands of unstructured documents (news and social media)
  • Developed Named Entity Recognition models, improving entity extraction and reducing manual review effort. Automated email and document processing workflows, and increasing operational efficiency.
  • Guided stakeholders on AI-driven digitalization initiatives, including automating email processing and entity extraction.
  • Developed dashboards and report to visualize data trends and insights for stakeholders

Educations

Telkom University

Computer Engineering
2017 - 2021
GPA : 3.25/4.00 (Cumlaude)
  • Bangkit 2021 Graduate
  • Laboratory Assistant I-Smile Laboratory Telkom University
  • Coordinator of Research Assistant I-Smile Laboratory Telkom University
  • Head of Majelis Perwakilan Mahasiswa HMTK Telkom University

Projects

PT. Pegadaian

  • Neo4j: Implemented a hybrid solution combining graph algorithms and supervised learning for advanced prediction tasks. Delivered actionable insights by visualizing graph-structured data in Looker Studio and Neodash (graph visualization tool for Neo4j).
  • Generative AI with LLMs: Implemented LLMs combined with RAG to generate synthetic datasets and retrieve relevant, real-time data for more accurate model training, addressing data limitations and enhancing internal workflows.
  • Credit Risk Scorecard: Enhanced and deployed a credit risk model that improved predictive performance, leading to better decision-making in credit approval processes.
  • Outlet Segmentation: Developed ML models to segment outlets using financial data, improving operational efficiency.
  • Data Engineering:
    - Support jobs migration from Cloudera Data Science Workbench to Talend.
    - Managed dashboard and data pipeline monitoring, ensuring the accuracy and timeliness of critical data insights.

Big Legal by Telkom Indonesia

  • Helping our client for digitalize their emailing process.
  • Built a Natural Language Processing pipeline using SpaCy and TensorFlow to extract entities from unstructured text.
  • Develop Named Entity Recognition model for our client needs.

Final Assigment (Skripsi/Tugas Akhir)

  • Develop system that can detect micro-expressions from SMIC-Cropped datasets. Using CNN VGG19 as feature extractor and Random Forest as classifier.

I-Smile Laboratory Telkom University

  • Develop an intelligence system that can recognize the road sign (no parking sign, no horn sign, no stop sign) using Python and YOLO Algorithm (darkflow framework).

Let's Connect

adlifarhanibr@gmail.com