Technical Data Analyst posted at HP @Bangalore on 07-06-21 - Self Analysis , Upscaling and Recommendation

Technical Data Analyst posted at HP @Bangalore on 07-06-21

=======================================================================

 *   This job position is posted for Bangalore

 *  The relevant years of experience needed for this job is around 0 to 2 years of experience

 

*  The secondary requirement for the fitting criteria is that the person should have a  Master's degree in computer science or Information systems

 

*   A candidate for the job should be able to leverage and scale open source tools .This aspect is currently I am also not sure and I am also not yet sure which  open source tools are being referred to in this , since collaboration tools are the most requisite open source tools that are common to all the people albeit their technological skills

 *   Proficient is SQL and architecting relational databases - NoSql is a plus{ SQL querying skills is a standard requirement across most of the job positions but the niche plays when it comes to the manner in which one is able to perform some of the SQL operations which comes with experience and exposure . Even I can say that , though I am good .. means good in SQL and would rate myself a mid-level person in expertise over SQL , I am not sure I would be able to handle more difficult or expert level queries without starting over from such minimum requirements .Also my work over NoSQL till now has been limited and has not been much diverse because of which NoSql and Big Data system level requirements is still a new thing for me }

 

*  Proficiency in Public Cloud Providers like Amazon AWS , Google GCP , Microsoft Azure etc is also a must { I have some experience over AWS cloud and am aware of the manner in which some of the applications work over AWS but I am yet to explore all the greater details and aspects of AWS and how big scale projects are deployed at AWS }

 

*     Experience over Industry - standard BI platforms { this necessitates a candidate to have some good amount of experience over working over Business Intelligence and Reporting Applications like Microsoft Power Bi and Tableau where one might be able to carry out and find out report generation and deployment activities in order to find out the necessary actionable items required for the specific work }

 

*   Knowledge of SAAS products and their multitenant cloud implementation { I this area I am just aware of the fundamental theorems that are under work and implementation is still yet to be done and scaled up , so this is one area that I shall again need to brush up and get my hands upon. I shall try to learn from the available online resources and try online cloud platforms over where such projects and modules are deployed}

 ===================================

 Description and Responsibilities on the job

 ===================================

 *  Analyse the business problems to analytics and there upon recommending the most appropriate methods to yield insights and results

 

*  Analyse Sales and Financial Data with Cloud and Operational data to present over to the clients to view

 

*  Data Warehousing and Reporting solutions to address the growing needs for reporting , analytics , and data requirements

 *  To automate cloud metrics to analyse the business requirements and business environments and on top of that gather business requirements and create data visualizations taking into consideration PaaS , Geographical data etc .

 

 

Last modified: 13:31

Pictographic Notes on Stress Management - Overall Idea of achieving a wholesome Homeostasis state of Harmony

 

Machine Learning Revision Notes - part 01

*  Every time you want to search any particular word or term or statements over the internet , one might be able to do so in the internet with full ease by the help  of Google or Microsoft who have a very developed Machine Learning algorithms and their infrastructure which help the users these days in the finding of all the search items and texts easily . This not only works for the particular search and key words that the user is trying to find , but the same also happens to be true for the terms associated with the term which help in searching related terms and related text over the internet .

 

*  Every time you want to access your friends or your own photos over Facebook of any other social media site , if the photo is found out or fetched properly by the social media platform then it is due to the help of machine learning

 

*  Every time you access your mail and see some unrelated , unimportant mail in your mail box appear in front of you , it happens because of the use of Machine Learning which filters all the not much important mails in the inbox and shows   it to the user which help the user in scrutinizing which of the emails are of more importance and which of the mails are less importance or least important is done with the help of machine learning which is the backbone of the application running the Machine Learning Code in the background of the application

 

*  Some of the basic and important task that the machine learning algorithms do these days can be thought of as the tasks like finding the shortest path among    a given set of points which were more important for finding or doing the generic things that the users would like to perform through the help of the computers within the shortest time possible

 

*  Today , Machine Learning touches several segments of Computing and Basic Science

 

*  Some of the common things that are used in the subject of Machine Learning are the following things like :

 

01) DataBase Mining

 

* Here , large datasets from growth of Internet and Web have resulted in the creation of large amount of data which can be mined to pick out relevant results and information as per the desire of the user or the store-keeper of the data .Here , the role of database administrator is different from that of the Database Miner as DBA short for Database Administrator is only to handle the overall functioning , storing and permissions over the database whereas the Database Miner has to do the task of housekeeping , performing relevant transformations and processing of the data . This is how the task of the Database Mining Engineer does his or her relevant tasks. The applicable areas over where these things could be put to usage are: Web Click Data , Medical Records , Biology and Engineering Subjects . For instance in the case of accessing Medical Records , the database applications are used for the purpose of finding out historical medical records , similar cases of Medical problems and finding out predictions of some medical problems etc In Medical fields , the field is used in the solving of problems associated with Genes and Gene Engineering , Mutations etc .

 

*  The secondary use of Machine Engineering is that as most of the applications can not program by hand, the applications are Autonomous Helicopter where the computer residing within the autonomous helicopter learns to fly by itself and selects the paths which are well suited for its least route problem . Several other associated algorithms might be also in use with the path finding and path tracing algorithms in the given scenario.. so with this the autonomous helicopter is able to do so much of different actions that even the maneuvered helicopters cannot perform . One of the other uses of such program is in the field of Handwriting Recognition where a machine learning algorithm is capable to perform the usage of pattern and word recognition of handwriting of any person , along with that the other uses of ML are also in the context of Natural Language Processing where algorithms are used to read and infer sentiments , patterns and various other aspects of the words of the users . Now, after all these things have been put to usage , things have evolved to such an extent that ML and AI can evolve own text and precedence of words and can even write stories on their own . The next thing used by Machine Learning is the use of Computer Vision which is quite significant as the computing algorithms can learn to recognize faces and gestures and make inferences based on their assessment . The same is also used for vigilance and security purposes as well .

 

*  ML is also used in the context of Self-Customization programs for example in the case of programs like Amazon , Netflix product recommendations etc which get tuned to the usage pattern of the user who is using a particular product

 

*  Finally , Machine Learning algorithms are being used for identification of Human Learning which happens in the brain which is associated with the real workings of the neural networks which are used for the purpose of enhancement of real Artificial Engines and networks

 

*  In the forthcoming articles , we will dig deeper into the main types of Machine Learning Algorithms and their usages

Last modified: 1 May 2021

Ways to Stay Positive amidst a global Pandemic Storm - An article by Vivek Dash