top of page
ayagFePW.jpg

HELLO,

I'm available for work.

 

Traditional data analytics systems do not scale, and/or support only some of the tasks, or do not support the deep requirements for specific types of data, resulting in poor scalability, poor developer productivity and/or lack of functionality. Usually work with brains in right role, and project management person, I have commitment and expert to see all problem in the plant with fast to made a solution decision to right and It's not risk.

However, it is necessary to go beyond merely storing and querying data to get a full overview and understanding. Instead, advanced analytics (data mining, prediction, forecasting,..) is applied to the huge data volumes to extract trends and patterns, and use historical data to predict future events, so-called predictive analytics. Recently, optimization has been added on top, resulting in so-called prescriptive analytics that prescribes the best course of action given the data and associated predictions and optimization goals. Other types of advanced analytics concern specific types of data such as spatio-textual data.

I'm an joint to patrick henry: forgotten founder course, and so, a postdoctoral academy person from boston university to ready in co-supervisor position to postdoctoral training, and expert in aspects of advanced analytics including concepts, algorithms, and systems. The skill will feature a mix of application concepts and algorithms with practical hands-on exercises using specific advanced analytics systems on a number of realistic case datasets. Big data is being collected in ever larger amounts, e.g., from the (geo-social) web, social media, sensors/IoT devices in cyber-physical systems, or scientific experiments.

 

 

Social links:

  • Topio Networks
  • NFX

TESTIMONIAL

 

“A High Quality Person in Performance Characteristic to Employeer. Koh Candra, Owner for Kecap Kuda Company.”

FAVORITE QUOTE

 

"Don't do what do You think but always do something to their think."

bottom of page