Experience

  • Data Analyst

    at Jirnexu

    May 2019 - at Present

    Kuala Lumpur

    • Researched and developed multilingual embedding NLP models for customer profiling using algorithms such as Facebook’s LASER, MUSE, and FastText • Implemented customer segmentation and product recommendation systems using Tensorflow and Pytorch to develop different deep learning models such as RNN, LSTM, and GRU together with Approximate Nearest Neighbors algorithm like Spotify’s Annoy • Designed machine learning models such as Random Forest and XGBoost to predict personal loan approval rates using Scikit-learn and H2O.ai AutoML • Wrote SQL queries to extract and manipulate datasets with Presto and performed data analysis • Wrote scripts to consolidate data from Google Analytics, Facebook Ads and Bing Ads • Communicated results and inferences derived out of data science models using data visualization tools like Tableau, Google Data Studio and Redash

Knowledge and keywords

Hives