RezScore - User Profile

Services
Community
- Blog
- Success Cast
Developer
- API
- Technical Interview Prep
Account
- Login
- Register

We are going to show you a profile for a few seconds.

When we are done we will ask you a few questions about the resume.

Don't worry about remembering everything, we just want you to gauge your first impression of this job seeker.

The timer on the right will count down for you.

Click here when you are ready:

Please Tell Us What You Remember About This Resume
140 Characters or Fewer

None

shalabh.neema@sjsu.edu

SHALABH NEEMA <BR>San Jose Bay Area XXXX@XXXX.XXX <BR>http://www.linkedin.com/in/shalabh-neema-11b43486 (XXX) XXX-XXXX Education <BR>Master in Software Engineering : San Jose State University Graduation- 2019 May 2021 <BR>Coursework: Enterprise Software Platform, Enterprise Distributed System, Software Engineering Process. <BR>Bachelors in Computer Science | IET DAVV, IN Graduation- 2012-Apr 2016 <BR>Coursework: Object Oriented Programming, Machine Learning, Analysis of Algorithms, Data Structures, Operating Systems, <BR>Computer Networks, Cloud Computing, Enterprise Resource Planning Skills: <BR> Programming Languages: Java, JavaScript, Python ,C++, C, HTML5, CSS, VB script, Android <BR> Frameworks & Technologies: React.js, Node.js, Kafka, Machine learning ,Redux, Redis, Flask, Selenium, Tesseract, Docker <BR> Tools & IDE: AWS ,HPQC, UFT, AutoIT ,Octave, Git, JIRA, IBM ClearQuest, Web Harvey, Eclipse, IntelliJ <BR> Databases: Oracle, MYSQL, MongoDB Work Experience: <BR>Software Engineer: Accenture | (2(XXX) XXX-XXXX) <BR>▪ Led a team of 4 in transforming 100+ automation scripts based on UFT to the Java & Selenium based framework which has <BR>reduced 40% cost of testing. <BR>▪ Built a Machine Learning model (Linear Regression) for estimating the cost of vehicle damage with an accuracy of 92%. <BR>▪ Developed the automation scripts using Java, Selenium and AutoIT to create more than 2500 end to end transactions per <BR>day which reduced the time of performance Testing by 65% and utilized Tesseract OCR for an image testing <BR>Associate Software Engineer: Accenture | (2(XXX) XXX-XXXX) <BR>▪ Developed 60+ comparison scripts in Java to validate the complex Dash Tool Reports with the data in Oracle Database in <BR>Keyword driven Testing framework using Adapter Design Pattern. <BR>▪ Automated the interactions between the isolated process like Defects logging in IBM ClearQuest, HPQC, Mimic policy <BR>submissions, result reports with automation scripts thereby improving the performance of the testing process by 95.87%. <BR>▪ Reviewed, monitored, and repaired any changed code for quality, adherence to standards, and potential performance effects <BR>of 120 regression scripts using Selenium and UFT by maintaining the code base of entire infrastructure. <BR>Projects: <BR>Mental Health Analysis in Tech Workers: <BR>▪ Developed a restful web application using React.js, Node.js & MongoDB which takes surveys from the users and provide <BR>prescriptive analysis to the users. <BR>▪ Built a Random Forest Classifier to predict whether a person in depression requires treatment with an accuracy of 91%. <BR>▪ Built a recommendation system based on Content based Filtering to assign a mentor to the person affected by depression. <BR>Starbucks Console Application Fall 2019 <BR>▪ Implemented Observer, Decorator, Chain of Responsibility and Strategy design patterns in Java. <BR>▪ Responsible for creating UML Class, Sequence and State diagrams to illustrate the design patterns used. <BR>▪ Integrated test cases to perform application level unit testing for different components. <BR>Prototype of Grubhub: <BR>Developed a restful web application which supports the Grubhub core use cases using Node.js, React.js, Redux, MySQL, <BR>MongoDB, Kafka and AWS . <BR>Weight Predictor : <BR>An Android application which helps in predicting the luggage weight for airport passengers <BR>▪ Built Linear Regression Model on the data extracted by the multi-threaded web scraper with an accuracy of 96%. <BR>▪ Lucid interface is designed that maps the Machine Learning model using Recycler View and Material Design. <BR>Achievements & Certifications: <BR>▪ Machine Learning by Stanford University by Andrew Ng with a score of 96.1% <BR>▪ Achieved 'Allstate Achiever’ and ‘Continuous Achiever’ award for outstanding performance in Allstate account.(Accenture).

How We Protect Your Privacy

0

Following

2

Followers

1337

Profile Views

Questions

Balanced Binary Tree Height
Linked List Rotation
A snail is at the bottom of a 30-foot well. Each day he climbs up three feet, but at night he slips back two feet. How many days will it take him to climb out of the well?

© 2026 RezScore. Use of our site is governed by terms and conditions.

Privacy Policy
Terms of Use
API