About Me

Azka Radinka graduated from Sepuluh Nopember Institute of Technology with a major in statistics and graduated from Google Bangkit 2021 with a major in machine learning. Self-motivated data science enthusiast with one year of data scientist internship experience at technical AI team building voice capabilities using deep learning. Experienced in teaching data analysis and visualization for one year in the computing lab statistics department.

Experience

Data Scientist at Koltiva

Jan '23 - Now

New Joiner

Data Scientist Intern at Telkom

Jun '21 - Aug '22

Technical AI Team - Emerging Technology Platform

  • Trained Indonesia RoBERTa language model using 20GB+ Indo4B text data using multiple GPU

  • Built speaker diarization CRUD API & real-time speaker verification API

  • Evaluated speaker diarization capability performance on AMI meeting audio dataset

  • Produced 20GB+ audio dataset containing 700 audio conversations between 2-7 speakers, generated from the VoxCeleb1 dataset

Voice Analytics Team - Big Data Platform, AI & Cyber Security

  • Built speaker diarization capability combining voice activity detection, voice recognition, clustering, and speaker verification task

  • Implemented & compared several voice activity detection, voice recognition model and clustering method for speaker diarization capability

  • Optimized current speaker verification inference speed by investigating inefficient pipelines in the code

  • Researched about question-answering system and presented the result to the team. It’s selected and implemented in the team project