Tirta Rumy Swandaru

I’m Tirta a Data Science & Machine Learning Enthusiast with a background in Informatic Engineering from Politeknik Elektronika Negeri Surabaya. Skilled in Python, SQL, and ML frameworks, with experience in statistical analysis, data modeling, and algorithm development. Passionate about transforming raw data into actionable insights through exploratory analysis and predictive modeling. Constantly learning and actively engaged in the data science community. Involved in publishing conference papers for the International Electronic Symposium 2024 and Journal in the field of Artificial Intelligence & Machine Learning Application. With this background, I want to try new opportunities to dedicate my self deep into Machine Learning Environment . I am a type of easy going person, critical and enjoy working in a team or individually also love to learn new things.

• Hands on MLOps for predictive models of exam student score prediction.
• Build NLP Case  WebApp of MBTI Prediction for college major recommendation using Django & PostgreSQL.
• Hands-on Computer Vision project for Indonesia Sign Language Recognition using Mediapipe & Tensorflow.
• Build predictive model for marketing campaign result optimization and getting Insight with data visualization .

• Related Course : Cloud Computing Workshop (A+), Artificial Intelligence Workshop (A-), Data Mining Workshop (A-), Image Processing (A-), Software engineering (A+), FrameWork Programming Workshop (A+), Testing and Software, Quality Assurance (A+), Clean Code Workshop (A+), Agile-based Software Development (A-)y
• Involved in publishing conference papers for the International Electronic Symposium 2024 and Journal in the field of Artificial Intelligence & Machine Learning Application.
• Leader UI/UX designer mobile apps & website in software development for Pick A Bin, at Software Modeling worksho also Flutter developer member in software development for Pick A Bin at Software Modeling.
• Awardee of top 10 soft skills by SimHive X PensFest 2023
• Current GPA : 3.64/4.0