Data Analyst / Graduate Research Assistant
February 2016 — Present
Technologies: Python, Pandas, Scikit-Learn, ML libraries, SQL, MS Excel, MS Access
► Developed classifiers for categorizing records, integrated them into data pipelines and measured the success of new algorithms with AB tests and analytics metrics.
► Built a database from unstructured data sets by labeling and conceptualizing safety records for maritime industries.
► Optimized query in data retrieval process and speed up the performance of the training model.
► Improved an overall accuracy of the predictive model by 30.7%.
► Performed regression analysis to identify the classification errors in data collection process and proposed recommendations to ABS.