Bernice Wang Email & Phone Number

• Accessed ‘Tika’ library in python to extract text of PDF and PowerPoint documents, in order to help the team to clean up and consolidate the raw data.• Applied Natural Language Processing Toolkit ‘NLTK’ library to divide big quantity of text into single words and removed the ‘stop words’ for topics analysis.• Performed sentiment analysis to extract keywords of the text and built k-means clustering model to acquire the topics of each part of the content.• Visualized the results of the topics analysis by generating Word-Cloud in Python to anticipate the topics of each paragraph and the summary of the whole text file.

Greater New York City Area

• Used Python to extract, clean and merge different data frames and perform Exploratory Data Analysis based on the features of the new consolidated table.• Built a Keras SoftMax model and applied text embedding technique in Python to predict the Google Shopping products labels in the Google taxonomy.• Created classification model in Python to automatically generate the product category labels and optimize the accuracy of the model.

Beijing City, China

• Performed Keywords Research for Amazon accounts to optimize products page rank and increase products exposure rates.• Created dashboard and visualization report by using Excel to analyze the different performances of each product category.• Tracked historical sales and inventory performance by analyzing different business reports in Excel.• Optimized Amazon seller’s backend product data in Excel to increase sales performance.