AVAILABLE FOR ALL OPPORTUNITIES

Hi, I'm

FURQAN

Data Scientist & ML EngineerData EngineerBackend EngineerDevOps Associate

Fresh graduate in Informatics from Universitas Syiah Kuala. I build end-to-end data solutions — from ML models and data pipelines to backend APIs and cloud infrastructure. An avid Kaggle competitor who enjoys tackling real-world data challenges and continuously sharpening problem-solving skills through competition.

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// WHAT I WORK WITH

SKILLS & TOOLS

01

Languages & Libraries

PythonNode.jsSQLNumPyPandasMatplotlibSeaborn
02

Machine Learning

Scikit-learnXGBoostLightGBMFeature EngineeringModel Evaluation
03

Deep Learning

TensorFlowKerasPyTorchJAXCNNsRNNsTransformers
04

Data & Cloud

PostgreSQLGoogle BigQueryAmazon RedshiftAWS S3Google ColabSparkKafkaRabbitMQFlink
05

MLOps & Tools

DockerKubernetesGitMLflowJupyterFastAPIStreamlitWeight and Biases
06

Visualization & BI

TableauPower BIPlotlyApache SupersetGrafana
07

Workflow Automation

n8nApache AirflowPrefectGitHub ActionsCI/CD
08

AI Agents & Agentic Design

LangChainLangGraphCrewAIAutoGenClaude APIOpenAI APIRAGMCPOpenClaw

// WHAT I'VE BUILT

PROJECTS

03▶ ONGOING

ROGII — Wellbore Geology Prediction

Building a model to automate wellbore geology prediction and contribute to drilling operations in the oil and gas industry.

PythonMachine LearningGeologyKaggle
04▶ ONGOING

BirdCLEF+ 2026 — Acoustic Species Identification

Acoustic species identification in the Pantanal, South America. Building audio classification models to identify animal species from field recordings.

PyTorchAudio MLCNNsPythonKaggle
05

Children's Automatic Speech Recognition — Phonetic Track

Developed automatic speech recognition models that produce phone-level IPA transcriptions of children's speech. DrivenData competition 2026.

ASRSpeech RecognitionIPAPythonDrivenData
06

Children's Automatic Speech Recognition — Word Track

Developed automatic speech recognition models that produce word-level transcriptions of children's speech. DrivenData competition 2026.

ASRSpeech RecognitionNLPPythonDrivenData
07

Drowsiness Detection for Human Safety

Built a computer vision model to detect drowsiness in real-time for human safety applications. Kaggle competition, November 2025.

Computer VisionCNNOpenCVPythonKaggle
08

MABe — Social Action Recognition in Mice

Detected unique social behaviors from pose estimates of mice using sequence modeling. Kaggle competition, September–October 2025.

Pose EstimationBehavior DetectionSequence ModelingPythonKaggle

// MY JOURNEY

EXPERIENCE & EDUCATION

WORKEXPERIENCE

EXP-01

Research Intern — PURE Program

Sabancı University, Istanbul, Turkey

July 2025 – August 2025

Engineered a data processing pipeline using AI Agents and prompt engineering to transform unstructured OER text into structured format. Fine-tuned Mistral and GPT-OSS models for generating structured training modules. Presented research findings through a mid-program review and final research poster.

AI AgentsLLM Fine-tuningMistralPrompt EngineeringPythonJSONL
EXP-02

Data Engineer Intern

Ministry of Foreign Affairs of the Republic of Indonesia, Jakarta

September 2024 – December 2024

Built data models and databases for the Investolink application backend. Conducted ETL processes and data scraping for the SIDE economic diplomacy dashboard, sourcing Trade, Tourism, Investment, and Services (TTIS) data from UN Comtrade, Trademap, and OECD.

Data EngineeringETLPostgreSQLPythonSQLData Scraping
EXP-03

Lab Assistant

Syiah Kuala University, Aceh, Indonesia

August 2022 – Present

Supported labs for Data Structures & Algorithms, C Programming, Computer Networks, NLP, Machine Learning, and Big Data. Developed and implemented specialized lab modules for NLP and ML courses using contemporary tools and methodologies.

NLPMachine LearningPythonBig DataAlgorithms

EDUEDUCATION

EDU-01

Bachelor of Informatics

Syiah Kuala University, Aceh, Indonesia

2022 – May 2026

GPA: 3.86 / 4.00. Research focus on NLP and machine learning. Supervised by Prof. Dr. Taufik Fuadi Abidin, S.Si., M.Tech. Thesis advised by Razief Perucha Fauzie Afidh S.Si., M.Sc.

Machine LearningNLPDeep LearningGPA 3.86 / 4.00
EDU-02

Machine Learning Cohort

Bangkit Academy led by Google, GoTo & Traveloka

February 2024 – June 2024

Intensive bootcamp with individual learning and a capstone project integrating mobile development, cloud computing, and machine learning in a multidisciplinary team.

Machine LearningCloud ComputingTensorFlowCapstone Project

CERTCERTIFICATIONS

CERT-01[VIEW]

Dev Certified for Machine Learning with TensorFlow

Coursera / DeepLearning.AI

January 2025
TensorFlowMachine Learning
CERT-02[VIEW]

TensorFlow: Advanced Techniques

Coursera / DeepLearning.AI

May 2024
TensorFlowDeep Learning
CERT-03[VIEW]

TensorFlow: Data and Deployment

Coursera / DeepLearning.AI

May 2024
TensorFlowDeployment
CERT-04[VIEW]

DeepLearning.AI TensorFlow Developer

Coursera / DeepLearning.AI

April 2024
TensorFlowDeep LearningPython
CERT-05[VIEW]

Machine Learning Specialization

Coursera / DeepLearning.AI

April 2024
Machine LearningSupervised LearningNeural Networks
CERT-06[VIEW]

Mathematics for Machine Learning and Data Science

Coursera / DeepLearning.AI

March 2024
Linear AlgebraCalculusStatisticsML Math