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Software Developer Data

St. Louis, Missouri, United States
August 16, 2018

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Yu (Nancy) Jin

Tel: +1-314-***-****: Email:

Seeking for: Entry-level Software Developer

GitHub: ; LinkedIn: SKILLS

Programming Languages: Java, Go, Python, JavaScript, CSS, HTML, SQL, MATLAB Databases: MySQL, MongoDB, Firebase, PostgrelSQL

Technologies/Frameworks: AJAX, RESTFul, React, Android, AWS, Google Cloud, BigQuery, MapReduce, ElasticSearch, Kibana, Logstash, Spring, Hibernate, Grafana, Maven, Docker EDUCATION

M.S. in Washington University in St. Louis (2016.8~2018.5) 3.45/4.0 Information System & Grad Certification of Machine Learning & Data Mining Cloud Computing, Machine Learning, Data Mining, Artificial Intelligence, Advanced Algorithms, Data Structure B.S. in SUN YAT-SEN University (2012.9~2016.6)

Geographical Information System & Remote Sensing 3.80/4.0 WORK EXPERIENCE

Nashco Business Service Data Engineer (2018.7~present) The TOP 1 micro-size business consulting company in St. Louis

Performed data visualization through ElasticSearch, Logstash and Kibana.

Wrote RESTful APIs to migrate databases from clients’ databases and aggregated the data to BigQuery to improve the efficiency of querying.

Wrote APIs to create, start, stop, and encrypt a customized Virtual Machine in Azure, and set a public static IP address for it to let client access

Used Grafana to monitor daily database workflow, fix errors(servers not responding, long time missing values)

Involved in Machine Learning Algorithm developing for Generating New Page project PROJECTS

FireGo: a LBS based Android App for Tourists and Local Residents

Created an Android App for users to post events and discover nearby events based on keyword tags

Integrated Google Map API to display the nearby hot events and navigate to the event

Used Google Firebase to store and manage comments, images, descriptions, title, geolocations

Applied Google AdMob (in-app advertising) to display Google advertisers and provide monetization. Ticket Star: Java Web Service Development – Event Search and Ticket Recommendation

Developed Java servlets with RESTful APIs to handle HTTP requests and responses

Built relational databases (MySQL) to capture event data from TicketMaster API

Designed an interactive web page for users to search events and purchase tickets utilizing AJAX technology (HTML, CSS and JavaScript)

Implemented event recommendation based on favorite history(recommend algorithms)

Deployed server to Amazon EC2 to manage 150 QPS and tested by Apache JMeter.

Built an ElasticSearch project to store user session data and process raw information before further analysis.

Used Timelion to identify high seasons and periods for resource usages (weekends, holidays etc.)

Utilized GeoIp in Kibana to analyze the geographic distribution of new customers and returning users. .

Tested the geolocations of 10k fake users with JMeter and delivered to 70 alpha test users to improve the quality of the product and ensure beta readiness.

Ship: a Geo-index based social network

Constructed a scalable web service in Go to handle posts and deployed to Google Cloud (GAE flex) for better scaling

Built GCE project to provide geo-location based search functions such that users can search nearby posts within a distance (e.g. 200km)

Used Google Dataflow to implement a daily dump of posts to BigQuery table for offline analysis

Aggregated the data at the post level and user level to improve the keyword based spam detection (BigQuery)

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