Sedang berjalan

Universitas Nasional

S1 • Informatika • IPK 3.92

April 2024 - September 2024

Data Scientist

Verified intern of

PT Telekomunikasi Indonesia (Persero) Tbk • Magang

Januari 2024 - April 2024

Samsung Research Indonesia • Magang

1. Mengumpulkan dan mengelola lebih dari 15.000 data suara dan teks bahasa Indonesia untuk tujuan pelatihan AI, termasuk berkoordinasi dengan berbagai sumber data serta peserta untuk perekaman suara, memastikan data yang beragam dan representatif untuk berbagai skenario penggunaan.
2. Mengembangkan dan mengimplementasikan metode normalisasi yang efisien dan efektif untuk meningkatkan kualitas dataset yang melibatkan membersihkan data dari elemen-elemen yang tidak relevan, menstandarkan format data, dan menangani variasi data suara dan teks.
3. Melakukan pemeriksaan kualitas data secara menyeluruh untuk memastikan data bebas dari kesalahan dan gangguan. Hal ini termasuk manual dan otomatis pengujian manual dan otomatis untuk mendeteksi anomali, inkonsistensi, dan kesalahan yang dapat memengaruhi kinerja model AI

Agustus 2023 - Januari 2024

Bangkit Academy • Organisasi

Excelled in teamwork, showcasing adaptability and project management skills, and completed 5 advanced Coursera certifications ahead of schedule in areas such as Machine Learning and Data Analytics.
Built a machine learning model in the form of NLP with an accuracy rate of 87% to classify mental health.
Developed and implemented a machine learning model with a solution that utilized Transfer Learning and Fine Tuning with pre-trained BERT models to accurately identify various mental health issues from user text posts.

Juli 2022 - Agustus 2022

Home Credit Indonesia • Magang

Process raw data into a clean format that can be used for machine learning analysis and modeling.
Created machine learning models and algorithms to address specific challenges within the credit management system, employing more than 2 different models for comparative analysis.
Applied rigorous hyperparameter adjustments to enhance the accuracy of machine learning models, setting a target accuracy rate of over 85%.
Strived for practical implementation capabilities in real-world applications, achieving an evaluation rate of more than 60%, emphasizing the practicality and impact of the developed models.

Juni 2022 - Juli 2022

ID/X Partners • Magang

Leveraged strong programming skills in Python to analyze and process data, aiming to enhance team efficiency through the implementation of machine learning models. Achieved an accuracy rate of over 80% in predictive modeling, contributing significantly to informed and targeted business decision-making and Applied statistical techniques using more than five Python programming language libraries to explore and manipulate quantitative data. This involved the creation of new features necessary for modeling, showcasing adaptability and proficiency in data analysis.