Engineering Salesforce

Atharva Munshi https://github.com/atharva********

https://www.linkedin.com/in/atharva-munshi-255530106/ Master of Science in Software Engineering, SJSU

****************.******@****.*** 1326 The Alameda unit 368, San Jose, CA 95126 +1-408-***-**** SUMMARY

Computer science professional with 1 Year of work experience. Currently pursuing master’s in software engineering. Core competencies include Data Structure, Algorithms, Java, Machine Learning Technologies, Design Patterns. EDUCATION

MS in Software Engineering, San Jose State University GPA: 3.46/4 Aug 2019 – May 2021 BE in Computer Engineering, Pune Institute of Computer Technology, Pune GPA: 8.62/10 Aug 2014 – May 2018 TECHNICAL SKILLS

Programming Languages: Java, C, C++,

Python, JavaScript.

Machine Learning Technologies: SVM,

TensorFlow, Neural Networks, Pandas

Cloud Technologies: AWS EC2, AWS S3, RDS,

CloudWatch, AWS Lambda.

Web Technologies: HTML5, CSS3, ReactJS, Bootstrap

Database Technologies: MySQL, MongoDB, DynamoDB, PostgreSQL.

Frameworks: Salesforce Lightning, Flask, JUnit, Selenium, JMockIt.

Tools Used: Tableau, Git, Kafka, Astah, JMeter, NetBeans, PyCharm, NodeJS, Apache Tomcat, Hadoop, Spark, HBase, Pig, Hive.

PROFESSIONAL EXPERIENCE

Accenture (Application Development Associate)

Project Name: Virgin Media

• Software Development in Salesforce lightning, Salesforce Classic and involved in CRM implementations.

• Worked in migrating different functionalities from Salesforce Classic to Salesforce Lightning, Salesforce customizations using Apex, Lightning, Visualforce, Saleforce.com configurations, integration using REST API, Front-End development using HTML5 and JavaScript.

COURSEWORK

• Software Systems Engineering, Data Mining, Enterprise software Platform, Large Scale Analytics, SW Security Techs.

• Data structure, Operating system, Object-oriented and multicore programming, SW Quality Assurance Testing.

• Theory of Computation, Cybersecurity, Data management, and system application.

• Design and analysis of algorithm, Smart system application and design, High-performance computing. ACADEMIC EXPERIENCE

Starbucks Application Aug 2019 - Nov 2019

Developed a simulated mobile application with the help of different design patterns like State, Factory, Command, Observer, Singleton, Proxy, Strategy.

The user was successfully able to different operations such as: logging into the application by using 4 and 6 pin authentications, add card for payment, make payments. Apart from that different viewing modes like landscape view and portrait view were also implemented.

Developed using Java.

Avengers shooting game Aug 2019 - Nov 2019

Developed a 2D action game using various design patterns namely Factory, Command, State, Strategy and Observer pattern.

The user was able to choose one of the six avengers and complete four levels with increasing difficulty in order to save the planet by defeating master villain Thanos.

It is developed using Green foot and Java.

Political Opinion Mining using Twitter Aug 2019 - Nov 2019

With the commencement of the upcoming 2020 Presidential Election, developed a software to successfully predict the most popular and favored democratic candidate by processing and analyzing people’s sentiment by tweet Classification.

Different algorithms like SVM, Naïve Bayes, Logistic regression were used.

Tableau was used for data visualization.

Developed using python.

Smart summary generation by giving voice or text input June 2017 – May 2018

With the ever-growing amount of text data available online, developed a project to automatically summarize the text which is given via voice command or an online text document.

Implemented latent semantic analysis and singular value decomposition to generate an extractive based summary of the text.

The developed software reduced reading time and helped to discover and consume the relevant information.

Developed using Python, HTML, CSS.

Automated Pet Surveillance Aug 2019 – Nov 2019

Designed a device using Raspberry Pi which monitors the pet using a web cam, dispenses food for the pet using SG90 Servo Motor and reports any unusual activity using Electret Microphone Amplifier MAX4466 by sensing and recognizing abnormal sound of the pet.

Developed using Python, MySQL, AWS EC2.

Contact this candidate