Transform data into valuable insights and build intelligent AI/ML models to enhance decision-making.
I am a data scientist & analyst with a strong background in mathematics and statistics, dedicated to transforming complex data into meaningful insights and intelligent solutions. By combining analytical thinking with a deep understanding of patterns and trends, I develop AI-driven systems that optimize processes, enhance decision-making, and drive innovation. I believe that data is more than just numbers—it tells a story, uncovers hidden opportunities, and has the power to shape the future in impactful ways.
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Analyze market, competitor, consumer behaviour data, manage price survey, perform web scraping to get external data, and maintain databases and dashboards for the Market & Sales analyst team.
Managed and developed manpower databases using MySQL, integrated and preprocessed data with Python and SQL, and built dashboards in Metabase to support reporting and data-driven decision making.
Analyzed customer chat logs to improve chatbot knowledge bases, built complaint and retention dashboards, automated complaint classification using LLMs and created Excel-based scorecards for customer service teams.
Automated web scraping using Python, Selenium, and BeautifulSoup, built efficient data workflows for AI-powered regulatory analysis, and collaborated with teams using Git-based development practices.
Designed and developed a 10-node cluster computing system using Apache Spark and OpenMPI for big data and machine learning workloads, delivering a portable and cost-efficient infrastructure for Big Data and AI education.
Developed a face recognition attendance system using FaceNet, Python, OpenCV, and DeepFace, integrated with SQL databases and a Streamlit interface for real-time verification and automated attendance logging.
Jakarta, Indonesia
syahrulazka91@gmail.com