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Hana Fauziah

@hanafauziah

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Experienced Data Scientist and analytics engineer with a passion for AI.

Indonesia

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What I'm looking for

I am looking for a role that fosters innovation, encourages collaboration, and offers opportunities for professional growth in AI and data science.

I am an experienced Data Scientist and analytics engineer with over 5 years of hands-on expertise in building end-to-end data and AI solutions. My proficiency lies in developing machine learning models, scalable ETL pipelines, and interactive dashboards using Python, SQL, and cloud platforms. I specialize in applying generative AI and Large Language Models (LLMs) to solve complex problems, automate document processing, and unlock new value from unstructured data.

Currently, I serve as a Senior Data Scientist at Hukumonline Indonesia, where I design and implement advanced document review systems and court decision intelligence products using LLMs and agentic AI frameworks. My previous role as an Analytics Engineer at Govtech Edu Indonesia allowed me to design robust ETL pipelines and achieve a remarkable 99% data recovery during critical database downtimes. My journey also includes impactful experiences at Rakuten Mobile Japan, where I deployed machine learning algorithms that significantly improved process automation and customer retention strategies.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Scientist

Current

Hukumonline Indonesia

Mar 2025 - Present (5 months)

Designed and implemented advanced document review systems and court decision intelligence products using Large Language Models (LLMs) and agentic AI frameworks. Led the development of end-to-end AI pipelines, focusing on optimizing cost-eﬃciency, token usage, and legal solution quality.

Large Language Models Agentic AI Cost Optimization Token Usage Optimization

Analytics Engineer

Govtech Edu Indonesia

Apr 2023 - Present (2 years 4 months)

Designed and implemented robust ETL pipelines using Apache Airﬂow and DBT, ensuring eﬃcient data extraction, transformation, and loading processes for optimized data workﬂows. Successfully achieved 99% data recovery and reconstruction during a critical Pangkatan Data Nasional (PDN) database downtime for the Kartu Indonesia Pintar-Kuliah service, successfully minimizing data loss.

ETL DBT data recovery Data Reconstruction

Data Scientist

Rakuten Mobile

Oct 2020 - Present (4 years 10 months)

Deployed a recommendation machine learning algorithm using Keras and TensorFlow to automate workﬂows for the engineering and operations team, resulting in a 60% increase in process automation. Applied various time series forecasting techniques to predict customer behavior related to churn and retention, improving customer retention strategies. Built and deployed a sentiment analysis model leveragi

Machine Learning Keras TensorFlow Time Series Analysis Customer Behavior Prediction

Education

Degrees, certifications, and relevant coursework

Tokyo Institute of Technology

Master of Engineering, Engineering

2018 - 2020

Grade: 3.87 out of 4.00

Completed a Master of Engineering degree with a focus on advanced scientific and engineering principles. Achieved a GPA of 3.87 out of 4.00, demonstrating strong academic performance.

Institut Teknologi Bandung

Bachelor of Science, Science

2013 - 2017

Grade: 3.57 out of 4.00

Obtained a Bachelor of Science degree, focusing on core scientific disciplines. Achieved a GPA of 3.57 out of 4.00, reflecting a solid understanding of the curriculum.