Ariq Lubis Email & Phone Number

Data Scientist specializing in Machine Learning and Natural Language Processing, with proven track record in delivering impactful solutions. Throughout my early career, I've demonstrated strong capabilities in developing innovative solutions, highlighted by engineering a text classification system that achieved 83% accuracy improvement at Telkom Indonesia and creating a predictive model for SDG classification exceeding 0.74 Jaccard Score at IPB University. My technical expertise was further recognized when I won the Big Data Challenge at SATRIA Data 2022, and through my successful completion of the Machine Learning Path at Bangkit Academy led by Google, where I developed an NLP-based job recommendation system achieving 95% accuracy.Currently at BFI Finance, I'm focused on developing an automated feature selection system that significantly streamlines the machine learning pipeline. This system reduces model development time by optimizing feature engineering processes and identifying key performance drivers through comprehensive time series analysis. This role has strengthened my expertise in building efficient, scalable data science solutions.Looking ahead, I aim to leverage my expertise in NLP, predictive modeling, and feature engineering to create innovative data-driven solutions that drive business growth. I'm particularly drawn to opportunities that involve advanced machine learning applications and complex data challenges where I can contribute to meaningful business impact.

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  Institut Pertanian Bogor (Ipb)

  3.58, Cumlaude