Mirah Wardhana

I'm an Information Technology graduate from Udayana University with a concentration in Data Science (GPA: 3.82). My focus is at the intersection of data science, machine learning, and automation — building systems that turn raw data into actionable insights and automating repetitive workflows with Python. I've applied these skills across internships, academic projects, and real-world freelance work.

I'm most effective when I can combine analytical thinking with hands-on programming. I enjoy tasks like data pipeline automation, building ML-backed web applications, writing Python scripts to replace manual processes, and creating clear data visualizations. I tend to go beyond the assigned scope when I see a better way to solve a problem — for example, completing a 3-month data backlog in 1 month by automating the processing pipeline.

I'm open to roles in data science, machine learning, data analytics, or software development — particularly positions that challenge me technically and offer room to grow. I'm equally comfortable working independently or as part of a team, and I adapt quickly to new tools and environments. Remote, hybrid, or on-site arrangements are all welcome.

I do my best work in environments that value continuous learning, clear communication, and collaborative problem-solving. I appreciate teammates who are honest, curious, and take ownership of their work. I find purpose in roles where my contributions have a visible impact, and I enjoy being in a culture that encourages initiative and treats improvement as a shared goal.

I bring a solid foundation in data science and a track record of initiative — from automating Excel reporting pipelines at a gallery company to building a full-stack perfume recommender system for my thesis using BERT and Autoencoder models. I don't just complete tasks; I look for ways to do them better. I'm a fast learner, detail-oriented, and genuinely passionate about applying technology to solve real problems.