Data Analyst
Resume:
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PROFESSIONALEXPERIENCE PROFESSIONAL EXPERIENCE
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DiLu Di Lu
646-***-**** *********@*******.***
YeshivaUniversity Yeshiva University Aug 2018 - Aug 2019 Master of Science in Quantitative Economics (STEM) New York, USA Core Courses: Data Science, Econometric, Data Science, Time Series, Probability and Statistics, Mathematical Method, Game Theory HangzhouUniversity Hangzhou Normal University Sep 2013 - Jun 2017 Bachelor of Marketing (Network Marketing) Alibaba Business College Hangzhou, China Core Courses: Network Marketing, Market Analysis and Predicting, Statistics, Data Mining, Consumer Behavior, International Marketing
Honors: Hangzhou Normal University Outstanding Graduates Study Abroad: University of California, Los Angeles (UCLA) S&P Global Inc.Jun 2019 - Present
Research Associate (Part-time) New York, USA
Extracted the stock and CDS time series data from the S&P Capital IQ Platform; Cleaned, screened, and normalized data to assure accuracy and consistency
Conducted preliminary analysis in R; Applied econometric method to identify early warning signal of approaching financial crisis on a level of economic sector; Visualized results for comparison Applied different statistics to optimize the predictive signal and conducted Monte Carlo Simulation with simulated data to prove the effectiveness of the algorithm in R
Represented the team (3/10) to present the analysis results to the senior manager from products and research departments Deployed rolling window to check the change of correlation of major US stock indices in R; Applied Hidden Markov process along with Topology Data Analysis to detect market regime change and systematic risk for the US financial system 2020 PPrroossppeecctt3333 Sep 2019 - Feb 2020
Data Analyst, The Client: Israel Discount Bank New York Branch New York, USA Supported the data governance project leading to a complete current state analysis with Senior Vice President and Vice President across 16 departments
Implemented fuzzy matching and normalization on systems list to ensure consistency over LoB’s to improve the efficiency Created a data domain matrix by identifying systems and applicable data domains across divisions with the IT department Collaborated in a team of 4 people to develop a data management and strategy framework Qianhe Planting Industry Co. Ltd.Jun 2017 - Jun 2018 Marketing Specialist Lu'an, China
Interviewed and investigated farmers and franchisers to evaluate customer needs, and collected data from ‘Tao Shu’ to analyze end-market demand to provide data-driven insights on future marketing tactics, resulting in around 3% increase in annual sales Collaborated and worked with the technical team to create the content, including case studies, articles, and video posts, to promote latest plating techniques, leveraging analysis to optimize the materials Developed and implemented more than 20 environmental technology promoting conference marketing activities, covering about 30 million customers, optimizing the activities process to improve the efficiency and effectiveness XizijunStore Xizijun Online Store Oct 2013 - Jun 2014 Founder Hangzhou, China
Identified the pain points to position shop and target customer through the analysis of products and customer reviews of competitors, and selected reliable supply chains
Conducted search engine optimization in optimizing product keywords and make desired changes to the elements of webpages to increase traffics and improve user interface experience, increasing around 2% in conversion rate Explored transaction and customer data to find actionable insights in products, promotions, and services MachineLearning Machine Learning
Sentiment analysis and prediction from clothing comments: Conducted TF-IDF in Python on e-commerce clothing reviews to prepare text data. Applied logistic regression and neural network to predict classification of sentiment and evaluated logistic regression as final model for less elapsed time and higher accuracy Lending Club Default Estimation: Applied ID3 decision tree algorithm in predicting whether loan applicants would default with data from lending club in Python
Developed a logistic regression classifier for classifying images of cats and conducted validation on model to find the number optimal number of iteration
DataDatabase Data Analytics & Database
Organized the flat dataset into a logical data structured for the Danske Bank AML dataset; Loaded and retrieved, and analyzed via complex SQL queries in the database; Utilized Python to detect money laundering red flag behavior, visualized the results, and provided the finding report and actionable solutions to senior stakeholder in laymen’s term ChangeManagement Change Management
Created an agile project plan for implementing Collibra (a data governance platform) in a financial institution, including process mapping, testing document and data migration approach document, and RAID log Python,R, SQL,Tableau,SPSS, Excel, Word, PowerPoint, Google Analytics, Machine Learning, Market Analytics, Data Governance
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