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

A versatile Data Scientist and Machine Learning Engineer with a robust foundation in developing, deploying, and optimizing machine learning and deep learning models across various domains. Skilled in handling structured and unstructured data, including financial data, geospatial, and text data, to deliver impactful, data-driven solutions. Adept at building end-to end machine learning pipelines, integrating data science solutions into business processes, and leveraging innovative technologies to address complex problems.

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Experience

PT. Pegadaian

Data Scientist
SEP 2023 - Present
  • 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 deployed machine learning models to segment financial data, improving business decision-making. Deployed models and data pipelines to BigQuery, with interactive dashboards in Looker Studio to visualize insights.
  • Enhanced the credit risk scorecard using machine learning models. The models were continuously monitored and updated to adapt to evolving data patterns, ensuring optimal performance.
  • 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
  • Performed geospatial analysis using Google Earth Engine.
  • Visualize Geospatial Data.
  • Apply statistical analysis and machine learning algorithms to extract meaningful insights from the data.

Big Legal by Telkom Indonesia

Data Scientist
JAN 2022 - MAY 2023
  • Partnered with business teams to align Natural Language Processing (NLP) solutions with compliance and legal objectives.
  • Developed and deployed NLP models (TensorFlow, spaCy) on AWS SageMaker to analyze unstructured text from social media and news portals.
  • Built interactive Kibana dashboards to track sentiment trends and key entities.

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