Recently, a Data Engineer in a project-oriented team at PChome Online. Formerly a Data Science intern at an insurance company, DHL Express PM intern, Nepal volunteer, Dance Club instructor, theater assistant in college. My diverse background builds up my personality, such as self-motivating, problem-solving, enjoying challenge, leadership and analytical thinking.
Taipei City, Taiwan +886952292118 [email protected]
Master of Science in Statistics and Data Science • 2019 - 2020
Exchange Program • 2018 - 2019
Bachelor of Science in Mathematical Science • 2014 - 2018
March 2021 - Present
Taipei, Taiwan
August 2020 - February 2021
Taipei, Taiwan
Establish Python Machine Learning models and obtain databases by SAS and SQL to predict high potential customers for agents. Increase agents' sales rate by a factor of three
Scikit-Learn, TensorFlow
Spark, Hadoop, Airflow, Sqoop, Hue, Hive
SQL, Bash/Shell, SAS, R, C++, GCP
Predict stock price by KRR with 0.8% RMSE. Adjust model by top 10 error cases
Construct a 70% accurate classifier by Logistic Regression, Natural Language Process to identify 200 corpuses
Apply K-Nearest-Neighbor, Support Vector Machine, PCA to identify tons of digits with 81% accuracy
Forecast stock price with 1.3% RMSE by using Auto Encoder technique, MLP predictor. Seek out the importance of each input and improve the algorithm
Recently, a Data Engineer in a project-oriented team at PChome Online. Formerly a Data Science intern at an insurance company, DHL Express PM intern, Nepal volunteer, Dance Club instructor, theater assistant in college. My diverse background builds up my personality, such as self-motivating, problem-solving, enjoying challenge, leadership and analytical thinking.
Taipei City, Taiwan +886952292118 [email protected]
Master of Science in Statistics and Data Science • 2019 - 2020
Exchange Program • 2018 - 2019
Bachelor of Science in Mathematical Science • 2014 - 2018
March 2021 - Present
Taipei, Taiwan
August 2020 - February 2021
Taipei, Taiwan
Establish Python Machine Learning models and obtain databases by SAS and SQL to predict high potential customers for agents. Increase agents' sales rate by a factor of three
Scikit-Learn, TensorFlow
Spark, Hadoop, Airflow, Sqoop, Hue, Hive
SQL, Bash/Shell, SAS, R, C++, GCP
Predict stock price by KRR with 0.8% RMSE. Adjust model by top 10 error cases
Construct a 70% accurate classifier by Logistic Regression, Natural Language Process to identify 200 corpuses
Apply K-Nearest-Neighbor, Support Vector Machine, PCA to identify tons of digits with 81% accuracy
Forecast stock price with 1.3% RMSE by using Auto Encoder technique, MLP predictor. Seek out the importance of each input and improve the algorithm