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This is a project module solving the waste of frequency usage by re-organizing base station(cells/sectors/sites) data transmit group, called Location Area(LA), by weighted clustering Algorithm in the communication network. 

To see project, visit my github : 
https://github.com/jieyu-lin/WCA-telecom

Location Area Optimization in WCA

Data Science Engineer

Jie-Yu LIN

A self-motivated engineer who is interested in Data Science, Machine Learning, Deep learning and AI look for data-oriented position.

Télécom Sudparis

National Chiao Tung University

Orange France

Research & Development Engineer

- Reviewing 2G/3G/4G base stations current performance data   between countries to fit clustering algorithm applicability.
- Develop server-preference modules to implement parameters daily adjust, improve 12% of hardware stability in base station.
- Providing solution to improve telecom network in average 24% of frequency usage and benefit to at least 1 million customers.

Tech : Python, Weighted Clustering, Data Analysis

- Study about 10k Facebook fan pages on “liked” numbers, posts and comments to predict future popularity of fan page users.
- Analyzing period “liked” numbers pattern to evaluate popular/unpopular fan page trends, reach accuracy 93%.
- Successfully predict America election result in 2016 and new movie’s popularity in India.

Tech : Python, Weka, Matlab, SQL, Crawler, Time-series Analysis

Service Architecture Lab, Telecom Sudparis

Researcher

- Leading 8 members for project brainstorming, KPI decision, mission execution and online platform maintain.
- Organizing a boot camp for 200 windows phone developers with technical support and teaching guide. 
- At least 80% developers keep devoting on the platform and benefit to more than 150,000 users.

Tech : KPI Decision, presentation, leadership

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