As an Associate Data Scientist at Juris Technologies, I specialize in developing and deploying AutoML solutions for various business problems, using tools like Python, PHP, and R. I have contributed to enhancing the efficiency and accuracy of the company's data products, such as credit scoring, fraud detection, and customer segmentation. With the help of my team, I have also implemented multiple data pipelines and dashboards for data ingestion, transformation, and visualization.Before joining Juris Technologies, I completed an internship at DKSH, where I gained valuable experience in natural language processing and predictive modeling. I worked on a project that involved text categorization for multiple languages, using different methods such as TF-IDF, N-gram, and word embeddings. I also performed clustering analysis using K-means to identify patterns and trends in the data. Through this project, I improved my skills in Python, machine learning, and data analysis.I hold a Bachelor's in Advanced Computer Science from Monash University Malaysia, where I took several Data Science electives, such as data mining, deep learning, and big data. I also obtained certifications in Data Science Projects, Deep Learning Fundamentals, and Big Data 101 from reputable online platforms. I am passionate about learning new technologies and applying them to real-world scenarios.I am eager to transition to a Junior Data Scientist role, where I can leverage my skills and knowledge to deliver impactful and innovative data solutions. I am motivated by the challenges and opportunities that Data Science offers, and I aspire to grow and excel in this field.