Engineer Mechanical

SUMMARY

As an engineer and aspiring Data Scientist & Analyst aim to excel and execute all given responsibilities to the satisfaction of my organisation. Look forward to further my abilities using my skill set that will fuel my growth.

One year of experience as Engineer – Technical Support at a Leading MNC whose core area is into ITES (Information Technology Enabled Services)

Technical Skills

PYTHON, SQL and Machine Learning Techniques (Supervised and Unsupervised)

Text Mining and Sentiment Analysis

Professional Program in Product Design and Analysis

Tableau

MS Excel

SFA

PROFESSIONAL EXPERIENCE

Engineer - Technical Support, CSS Corp June 2017 – July 2018

Responsible for Selling Technical Support Service (AMC) for NET GEAR Products. ( Routers, Extenders, Home Security Products – Camera and other Systems)

Responsible for achieving individual and team targets.

Handle Customers from USA & Canada Market.

As Engineer – Technical Support, to handle trouble shooting network challenges and to resolve the same immediately during the voice call.

Developed excellent product and market knowledge.

LIVE & ACADEMIC PROJECTS

Mini Project – Supervised Learning (Regression)

Analysis of Banking records to predict Defaulters and Non-Defaulters in customers. This involves building a machine learning model (based on regression techniques) to predict the outcome based on training data sets.

The problem requires building a regression model based on analysis of different parametersthen identify if weather linear or logistic regression model needs to be used. The also needs fine-tuning in order to get best prediction model and test statistic.

Mini Project – Data Visualization Using Tableau

Analysis of territorial sales of motor cycle spare parts across the globe

This project involves the idea of understanding what kind of data needs to be subjected to visual analytics. It deals with visualizing numeric, categorical, multi variable and multi-dimensional data. Dashboards, score cards and infographics based visualization mediums would-be used to visualize the time and space dimensional relationships between various measures and categories in the data set.

Mini Project – Supervised Learning (CART)

Development of a machine learning model (based on CART) to identify profitable market segments for cross selling personal loans of a bank.

A bank has executed a campaign to cross-sell Personal Loans. As part of their Pilot Campaign, 20000 customers were sent campaigns through email, sms, and direct mail. They were given an offer of Personal Loan at an attractive interest rate of 12% and processing fee waived off if they respond within 1 Month. 2512 customer expressed their interest and are marked as Target = 1 Many Demographics and Behavioural variables provided would be provided.

A model using Supervised Learning Techniques needs to be build, to identify profitable segments to target for cross-selling personal loans. Make necessary assumptions have to be made appropriately.

Mini Project – EDA Using Python

An Exploratory Data Analysis was carried out on Lung Capacity Dataset to find out the insights

Different Plots were created in order to find out pattern between the dependent variable and to find out how the dependencies affect each other

By using linear Regression plot it was found that the Lung capacity was dependent on the height of the individual.

Final Project – Prediction of Cervical Cancer

The aim of the Project is to predict the presence or absence of abnormalities of cervical cancer with Hinselmann as target column.

After Performing EDA we found a few variables highly contributing to Hinselmann

Missing values was replaced with Median, Forward Fill and Backward Fill

After extracting the important features using Random Forest, we built various models and chose the best performing one

Final Project (B.E) – CROSSMEMBER PROCESS IMPROVEMENT

The Project was done at Ashok Leyland – Ennore in the Quality department. The main aim of the project was to improve manufacture of proper cross member according to the dimension.

The project involved data collection and study of different Crossmember used in the manufacture of different Commercial Vehicles and it also included visits to the supplier end.

So the main reason for defect is because of improper welding and suggestions were given to place in proper support so that it doesn’t move from the welding position.

EDUCATION

Course

Institution

Year

Percentage

Post Graduate Program in Data Science and Engineering ( Full Time)

Great Lakes Institute of Management

2018

Certification Course

B.E. Mechanical Engineering

Anna University - Meenakshi Sundararajan Engineering College, Chennai.

2013-2017

66%

XII STD

DAV Matriculation Higher Secondary School, Chennai

2012-2013

78%

X STD

DAV Matriculation Higher Secondary School, Chennai

2010-2011

77%

ACHIEVEMENTS AND CERTIFICATIONS

Participated in Kaggle Hackathon conducted by Great Lakes Institute of Management.

Completed Conversation Course at the level of IMPACT ADVANCED M2 with British Council, Chennai.

Participated in E-CUBE Presentation Conducted by Meenakshi Sundarajan Engineering College.

Event Coordinator – YANTRA 2015-2016 National Level technical symposium conducted by the Department of MECHANICAL, MSEC.

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