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Research Assistant Resume

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New York, NY

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TECHNICAL SKILLS:

Data Analytics: Database Management (Oracle Modeler/Apex/MySQL); Data Mining & Statistic (SPSS Modeler/ Linear/ Neural Network/ Association/ Regression/ Decision Tree/Logistic/ANOVA); Web Analytics (Google Analytics/AB Testing); Confidential (NLP/Text Classification/Clustering/Topic Modeling/Sentimental Analysis); Visualization (Tableau/Power BI/Spotfire/QlikView/Alteryx); Big Data (Hive/Spark); MS Office (Excel Data analysis/Pivot Table/LOOKUP); Graph Database (Neo4j)

Programming: SQL; Python; R

PROFESSIONAL EXPERIENCE:

Confidential, New York, NY

Research Assistant

Responsibilities:

  • Processed over 14000 raw reviews and parsed out over 400000 fashion - related noun-phrases along with combining 3 sloppy dictionaries (over 5000 rows) using Python (Pandas, Stanford coreNLP)
  • Designed a graph-based database to store fashion week image information on Neo4j using Cypher Query Language
  • Adopted Tableau and Excel analyzing over 300 brands from Shanghai Fashion Week and generated brand portrait for 16 sample brands
  • Adopted Python (Pandas, Sklearn) to analyze product descriptions from online stores and gained insights into the fashion trend based on TFIDF results

Confidential, New York, NY

Data V isualization Intern

Responsibilities:

  • Built visualization models with D6’s Multi-dimensional Visualization Application, created insightful stories from the patterns, trends, features that can help businesses to make informed decisions
  • Cleaned and manipulated messy datasets with Python (Pandas) and Excel (Functions) to better fit the visualization application
  • Studied patterns and features shared by Kiva borrowers to help Confidential identify potential borrowers
  • Examined the relationships between the loan amount and poverty level of a country using Regression and Clustering models on Spark (MLlib), and deployed queries and visualization charts to describe patterns on Hive (Cloudera)

Confidential, New York, NY

Topic Modeling and Sentiment Analyst

Responsibilities:

  • Created an algorithm giving ratings to physicians based on selected topics to save users' seeking and reading time
  • Conducted Topic Modeling with LDA model to extract popular review topics using Python (Gensim, Sklearn)
  • Conducted Sentiment Analysis of reviews as ratings to select top positive/negative reviews for each topic using Python (NLTK Vader)

DATA ANALYTICS

Confidential, New York, NY

Responsibilities:

  • Analyzed NCAA historical datasets, built machine learning models (SPSS/Excel) and predicted 2019 Bracket, the winning probability of each team and the champion team.
  • Created an evaluation dashboard for website ‘GameLab’ using traffic data of 3 months with Google Analytics
  • Reported market insights and web behaviors with KPIs like Sessions, Bounce Rate, Landing Pages, Referrals

DATABASE MANAGEMENT

Confidential, New York, NY

Responsibilities:

  • Utilized ORACLE Modeler to build up relational model to store entity and attributes of pharmacy prescription system and implemented over 60 SQL queries by ORACLE Apex in pharmacy database

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