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Fauzy C. — Mid-Level Machine Learning Engineer from Indonesia

Fauzy C.

Mid-Level Machine Learning Engineer

Indonesia 1-2 years
Open to offersNew to Platform
Languages
EnglishIndonesianJapanese
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About

Fauzy C. is a proficient Machine Learning Engineer with extensive experience working for BRI, where he has been instrumental since October 2021. His responsibilities include crafting comprehensive machine learning pipeline processes, from code versioning to monitoring deployed models. He has developed a dashboard system to monitor model performance, enabling business teams to receive timely reports and alerts. At BRI, Fauzy also designed the BRIMO Payment Reminder Dashboard, contributing to a remarkable increase in billing payments. His expertise in managing cloud-based services on Google Cloud Platform enhances data operations for various roles such as Data Engineer, Data Analyst, and Data Scientist. Fauzy's work with the Sabrina Chatbot utilizing Large Language Models has significantly improved customer interaction metrics, reducing fallback rates and raising satisfaction levels. Prior to BRI, he applied his skills at Alodokter, creating chatbots and performing sentiment analysis to enhance service efficiency. His technical acumen is further supported by certifications in data science, machine learning, and cloud technologies from recognized institutions.

Experience

  • MACHINE LEARNING ENGINEER

    BRI · 2021 — Present
    Developed an end-to-end machine learning pipeline process, encompassing code versioning, data engineering, exploratory data analysis (EDA), modeling, model deployment, and monitoring of existing models. Designed a dashboard to track model performance, enabling the business team to receive timely reports and alerts. Built the Dashboard BRIMO Payment Reminder for direct user notifications to enhance billing payments. Maintained cloud-based services such as databases and workbenches for Data Engineers, Data Analysts, and Data Scientists on Google Cloud Platform. Implemented Retrieval Augmented Generation (RAG) for the Sabrina Chatbot using a Large Language Model (LLM) while reducing the chatbot's fallback rate. Increased the satisfaction rate for the Sabrina Chatbot and developed the WISE project to assist frontliners and agents in addressing user complaints using LLM.

  • MACHINE LEARNING ENGINEER

    ALODOKTER · 2019 — 2021
    Created a chatbot designed to predict user intentions and provide suggested results awaiting doctor confirmation, achieving significant cost reductions in medical consultations. Conducted sentiment analysis on doctor reviews to enhance performance feedback for medical practitioners. Employed named entity recognition for tagging user inquiries, leading to a notable decrease in manual tagging efforts.

  • PYTHON ENGINEER

    LEADBOOK · 2019 — 2019
    Executed web scraping of company profiles to generate a database utilizing Python, Scrapy, MySQL, and MongoDB, enabling tailored lead suggestions for clients.

  • DATA SCIENCE PROGRAM

    PURWADHIKA STARTUP & CODING SCHOOL · 2018 — 2019
    Developed a project aimed at classifying individuals based on drug addiction into three categories: indica, sativa, and hybrid. Utilized data sourced from Kaggle to predict outcomes using machine learning models, and created a dashboard to extract insights from raw data.

  • ELECTRONICS ENGINEER INTERNSHIP

    ANGKASA PURA II · 2016 — 2017
    Performed maintenance on various electronic devices including televisions, telephones, routers, CCTV systems, and fire alarms. Monitored sensor data from the control room system and prepared daily reports.