Web Developer Js

Srividhya Sundarapandian

Web Developer

**/*, *** ******

Hopes, Peelamedu

Coimbatore- 641004

+919*********

******************@*****.***

OBJECTIVE

Enthusiastic developer eager to contribute to team success through hard work, attention to detail and excellent organizational skills. Motivated to learn, grow and excel in every opportunity.

EXPERIENCE EDUCATION

ICX4 Software Solutions India Pvt Ltd., CBE

Nov 2017 - April 2020

Web Developer

Cognizant Technology Solutions, Pune

Jan 2016 – Aug 2017

Programmer Analyst

Bachelor Of Engineering

May 2015

SREC, CBE

Higher Secondary

April 2011

Avila Convent MHSS, CBE

High School

April 2009

St.Francis AIGHS, CBE

PROJECTS SKILLS

BusinessDNA

Web Application with search and profile feature for various entities including people, organisations, objects, funds and instruments. It provides standardized data (loaded in SOLR after processing through crawling, transforming etc) from multiple internal and external sources. Technologies Used: Vue JS, Vuex, Vuetify, JavaScript, D3 JS, Mermaid JS, HTML5, SCSS.

Version control: Git

Abbworld

Web and Mobile Application specially designed for Medical Reps. Used to fix meetings with doctors, create individual performance reports etc. Also helps the executive/representative to apply, view and approve leave.

Technologies Used: Angular JS, JavaScript, Sales Force, JSON, HTML5, CSS3.

Version control: Git

Front-end:

HTML/HTML5

CSS/CSS3

SCSS

Bootstrap

JavaScript

JSON

Vue JS, Vuex, Vuetify

React JS, Redux

D3 JS

Adobe Photoshop

Machine Learning:

Supervised/ Unsupervised Learning

algorithms, EDA, Statistics,

Visualization, Web scraping, NLTK

Python:

NumPy, Pandas

Version control: Git

Project management: Jira

CI Online Shopping

A Project website which lets the users to login using registered credentials for shopping various products. The portal helps the users to add/remove products in the shopping cart based on the user preferences.

Technologies Used: JavaScript, jQuery, JSON, HTML5, CSS3.

Self-made Projects

Car Price Prediction

To model the price of cars with the available independent variables which will be used by the management of a Car company to understand how exactly the prices vary with the independent variables. They can accordingly manipulate the design of the cars, the business strategy etc. to meet certain price levels. Further, the model will be a good way for management to understand the pricing dynamics of a new market. Used Liner Regression to build the model and obtained an accuracy of 92% after proper Data Preparation, Data Cleaning, Data Exploration and Feature Selection.

Technology: Machine Learning

Language: Python

IDE: Spyder

React JS

I have made few mini projects to explore and understand the working, syntax and concepts of React JS. GitHub Link: https://github.com/SrividhyaPandian

Avowal:

I hereby declare that the above mentioned information is true to the best of my knowledge. Place: Coimbatore SRIVIDHYA

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