Web Developer Engineering

Vishal Manjunath

OBJECTIVE To engineering. ***-acquire 884-3086 an internship utilizing my interpersonal Jersey City, skills, NJ, educational 07307 experience and vmanjuna@abilities in stevens.the field edu of EDUCATION

Stevens Master of Institute Science of in Technology, Computer Science Hoboken, NJ Expected GPA: May 3.6/2022 4.0 Coursework: Discovery, Machine Web Programming Learning: Fundamentals I & II, Database & Applications, Management Natural Systems, Language Data Mining Processing and Knowledge Visvesvaraya Bachelor of Engineering Technological in Computer University, Science Karnataka, and Engineering India GPA: August 3.7/2019 4.0 SKILLS

Programming Database Tools Data Source Visualization: & Version Technologies: Management Languages: Control: Excel, HTML5, Systems: GIT Matplotlib, Python, CSS, MySQL, Java, JavaScript, Tableau, R, MongoDB, C, C+PowerBI NodeJS, + PostgreSQL ReactJS, Angular, jQuery, XML EXPERIENCE

Clarity Web Developer Information Intern Technologies, Bangalore, India May 2019 – December 2019

• • Programmed Developed RESTful Front-APIs end on in Node.Angular-js and based employed JavaScript/HTML, TypeScript CSS to convert application designs to web pages ACADEMIC PROJECTS

Web Scrapping (Image) Spring 2021

• Designed and constructed a web scrapper collecting images for a keyword from internet

• Technologies: build a Flask Project Python as a core back-end language, MongoDB as database, deployed PyCharm tool to Sentiment • Constructed is analyzed Analysis and a web emotions portal are where displayed user can in enter a graph text using and utilizing Matplotlib NLP, library sentiments of python and emotions Spring of 2021 text

• Technologies: deployed PyCharm Integrated tool to HTML5, build a Flask CSS3 as Project front-end language, Python as a core back-end language, Rent • – A Created renting – Ride car a website where user can rent cars to fellow users, and where users can post review Fall about 2020

• Technologies: HTML, CSS, NodeJS, Express Framework, XSS, MongoDB, DOM JavaScript Predicting Employee Attrition Fall 2020

Object Apparel • • • • • • • • • • Determines Predicts Implemented Models Detection Coded Programmed Designed, Developed Built Created Recommendation Data such an attrition using Object modelled Preprocessing significant and using as a Digital C5.classification NLP Counting phenomenon Detection 0, real KNN, techniques and Image factors Engine world Decision performed Techniques in model tool Processing dataset causing Crowded of such individuals to Tree, to address as predict mathematical attrition from for Scenes Bag Random Algorithms making Amazon crowd from of potential from Words, Forests, machine data counting data simulations acquired such of TF-useful collected employees SVM, as learning IDF from ViBE, through Logistic and for and perspective creating Voila Word2Vec algorithm leaving control Amazon Regression – Jones Machine company in predictions of MATLAB Web semantic were Services Learning used January modelling models May 2019 2019 Available June 2021

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