B.R. VENU KUMAR
Adyar, Chennai -20
Mobile No : 887*******
E-mail ID : firstname.lastname@example.org
To become a Big Data Intelligence professional using my core engineering and analytical skills. I would like to identified as a solution provider for any type of complex and critical problems.
Skilled Mechanical Engineer with 7+ years of experience in Quality Engineering department in a manufacturing sector. Majority of my experience so far has been as a Junior Quality Engineer in a leading Precision & Press Components manufacturer.
1.From January 2015 to August 2019 on JUNIOR ENGINEER – Quality Engineering Department in RAJSRIYA AUTOMOTIVE INDUSTRIES LIMITED, Chennai.
2.From March 2014 to November 2014 worked on SHORT TERM TRAINEE – Molding Department in VALEO LIGHTING SYSTEM (P) Ltd., Chennai.
3.From October 2012 to January 2014 worked on TRAINEE – Quality Engineering Department in DELPHI –TVS DIESEL SYSTEM LTD, Chennai.
KEY ANALYTICAL – DATA SCIENCE SKILLS
Languages known: R Programming, Python.
Statistics Model: Linear, Logistics & Random forest.
Software’s used: R Studio 3.6.1 & Spyder 3.7
Operating system: Windows 10 and Linux
Database: MySQL, Hadoop, Hive, Pig
KEY ENGINEERING SKILLS
Implementation of 5s,kaizen & Poka-Yoke
Hands on experience skills of Lab instruments, CMM and Incoming Inspection
Knowledge of Analysis/Critical thinking/problem-solving skills
Knowledge of SAP (Manufacturers, suppliers, importers and sales )
TECHNICAL QUALIFICATION :
COURSE / BRANCH
NAME OF THE INSTITUTE
UNIVERSITY / BOARD
YEAR OF PASSING
Diploma in Mechanical Engineering
Annamalai Polytechnic College, Chettinad, Sivagangai Dt.
Directorate of Technical Education, Tamil Nadu
ANALYTICS AND OTHER DIPLOMA PROGRAMS :
Pursuing as a Diploma in Data Science at Institute of Analytics (USA).
Certified as a Diploma in Quality Management (Annamalai University)
Certified as a Diploma in Computer Application
PROJECTS IN BIG DATA ANALYTICS :
Mall customer segmentation dataset used to classify the types of customers by K-means clustering to provide offers according to the relevant customers.
Wine Reviews dataset mainly used for data visualization, including word clouds, squarify Etc.,
Prediction of Red wine data classification using Logistic regression & Random forest Model
Prediction of Abalone data using Linear Regression Model
Prediction of McDonald’s Menu data using Linear Regression Model
I, Venu kumar.B.R, do hereby confirm that the information given above is true to the best of my knowledge and I shall prove myself to be an excellent choice with my commitment, sincerity and hard work.
Date: 03rd Jan, 2020
B. R.VENU KUMAR