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Data Marketing

Location:
Boulder, Colorado, United States
Posted:
February 03, 2019

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Resume:

Lan Sang

ac8dkd@r.postjobfree.com +1-720-***-**** **** Fuller Court, Boulder, Colorado, USA

EDUCATION

Nanjing Normal University Nanjing, China

Bachelor of Arts in French; Bachelor of Administration in Business Administration (GPA:3.5/4.0) Sep.2013-Jun.2018 Relevant coursework: Java Programming, Data Structure, Applied Statistics, Neurolinguistics University of Colorado Boulder Boulder, United States Master of Science in Computational Linguistics, Analytics, Search and Informatics(CLASIC) Expected: May.2020 Relevant Coursework: Data mining, Linguistic Phonetics, Morphology and Syntax, Natural Language Processing RESEARCH EXPERIENCE & PROJECTS

Data Mining:The Most Influential Factors that Affect the Success of Telemarketing Boulder, United States Team Leader Oct. 2018 – Dec.2018

Collected, cleaned and preprocessed a dataset of 45,211 records with 17 attributes of a Portuguese bank from the UCI Machine Learning Repository

Used Decision Tree and Logistics Regression to do classification work on the dataset

Found most optimized attribute combination based on the experiment of the attribute factors and the selection of data attributes

Chatbot: Application of NLP and Deep Learning Nanjing, China Team Leader Oct. 2017

Collected, cleaned and imported weather data for 3000+ Chinese cities and rural areas from a weather searching App, to an organized Itchat database for further searching and explaining the data

Converted 978 lines of WeChat conversation records into JSON files of key value combinations for data extracting

Designed an interactive Wechat robotic that predicted weather condition and quality, the range of temperature, and provided useful tips through Chatterbox in Python 3.6 Global Engagement for Academic Research Summer Program North Carolina, USA Research Assistant Jul. 2017 - Aug. 2017

Researched and analyzed annual reports and experts’ critics from 2012 to 2016 on the targeted company to understand its financial projection and assess current strategies’ sustainability

Prepared digital questionnaire to understand the correlation of various demographic factors with spending behaviors Theory of Statistics: Artificial Intelligence and Big Data Nanjing, China Team Member Jan. 2016 - Feb. 2016

Collected 20,000 records of real estate transactional data from the Nanjing Real Estate Website using personalized web-scraping code

Built support vector machine model using 8 features on GeoHey to predict Nanjing real estate market prices in 2015

Presented key findings in an academic seminar to departmental students and professors PROFESSIONAL EXPERIENCE

Duke Kunshan University Kunshan, China

Intern, Global Recruitment Marketing Feb. 2017 - Jun. 2017

Designed questionnaires to collect demographics and feedback on different marketing schemes in order to examine admission applicant profiles and identify areas of improvement for existing marketing strategies

Recommended detailed proposals to improve marketing strategies by outlining the profitability impact of increasing frequency of admission open houses; explored opportunities of outsourcing education marketing companies Industrial Bank Co.,Ltd Kunshan, China

Intern, Retail Department Jul. 2016 - Aug. 2016

Collected and performed missing data treatment on demographic and financial variables for accounts booked in 2015

Categorized accounts into 5 key segments using K-means clustering by SPSS and Excel to identify spend tiers

Modified financial products and marketing strategies for respective spend tier segments by analyzing profitability and risks metrics to maximize their spending potential while controlling for default risks TECHNICAL SKILLS

Technical: C, C++, Java, Python, Praat, LaTeX, SPSS, SAS, SQL Languages: Mandarin (Native), English (Fluent), French (Fluent)



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