Rajendran Tutor
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● Extracting patterns from the product development, manufacturing and field data that support the new developments and improvements in the manufacturing and quality.
● Extracting pattern from the field engineers observation logs (Free text) by converting them as structured data and associating them together with other field structured numerical data.
● TMO improvement projects.
● Projects to marketing and sales team.
● Projects to product management team.
● Mainly involve in data analytics projects that helps teams to improve TMO and meet SLA.
● Provide a complete solutions to the user data related problems/projects.
Projects
● Developed intuitive application that supports the analysis and analytical activities for the field and manufacturing data.
● Extracted for one of the critical failures that helps to detect the failures early.

● Text mining project; service and operational engineer’s observations (Free text information) are
converted into structural data and combined with operational data to mine and extract patterns.
● Analytical project to improve and maintain TMO.
● Analytical project to improve DAS time.
● Analytical project to improve SLA for product management team.

Responsibilities
● Analysing the User Requirements and preparing the document for the Reporting Application.
● Leading the report application development team.
● Making proposal for the multivariate analysis application development.
● Assisting the customer site implementation and demonstration.
Projects
● It is a consumer information management application suite for the telecommunication service providers, helps them to analyse their consumers behaviour and understanding them in-depth with respect to their behaviour and service usage. It is a multi-dimensional analysis tool to analyse the user behaviour like their usage and spending with respect to many dimension like Time Of Day, Period Of Week and etc.,

● The Data Mining application was conceptualised and developed with a view to cut down on time taken for decision-making activities and for quality drive manufacturing. The Data Mining applications run from predictive modeling to deviation detection. Developed an application that provides the variable associations (Patterns) that likely causes the drive to fail at test process. Provides patterns for Top 5 fail codes and for overall fail codes.
● Developed an application for providing the cluster of similar characteristic drive from a known reference drive in real time. Basically this application uses the drive attributes, parametric from drive manufacturing test process and data mining techniques.
● In Manufacturing, a lot of critical parameters have to be monitored in order to sustain a good yield. Upon a periodical monitoring, only 1% or 2% of the monitoring time may be useful, only if any of the parameter goes out of control. So, regular parameter monitoring wastes 98% of monitoring time. In order to overcome this problem, designed a system, which would monitor continuously the parameters and triggers as and when any of the parameter goes out of control. The application software consists of a Rule editor where the users can edit the rule. It consists of a query engine, rule Inference engine and mailing engine also
● Responsibilities: Development of Rule inference Engine, Rule Editor, Query Engine & Mailing Engine
● Scope: In Hard disk, to position the read/write head in a specified location, a closed loop servo position control system is used. The error correction signal would be checked in the feedback path, to bring the read /writes head to a correct position. If the amplitude of the error correction signal exceeds the threshold level, this means the indication of unstable servo position and fails the system. So, this kind of hard disk will fail in test process and requires technically qualified people to manually scope the signal and diagnose the drive. Automated the diagnostic.
● A complex production schedule software is at server side computes all the time. The client communicates with server program using Socket programming. The user has given option to view the schedule in excel spreadsheet and to store in the local workstation.