Prashanth Guntal is seeking a role as a QA or Test Automation Engineer. He has 2.5 years of experience as a Quality Analyst and Automation Engineer at Intel, where he automated test cases to save time, developed scripts to identify unauthorized access, and trained colleagues. He is currently pursuing a Master's degree in Data & Computational Science at University College Dublin with a GPA of 3.49 and experience using technologies like Python, R, and H2O.

1. Prashanth Guntal
#77 Upper Dorset Street, Dublin
Phone: +353 894338640 Email: prashanth09071994@gmail.com
LinkedIn GitHub Website
PROFILE
Currently pursuing my graduate studies at UCD, with 2.5 years of experience at Intel as Quality
Analyst and Automation Engineer I have gained a lot of experience in QA and Automation role
working in security and non-security applications along with web and mobile testing and
automation experience. Currently I’m looking for roles related to QA or Test Automation Engineer
where I can show my talent and enhance my skills to meet company goals and objectives with full
integrity and grow my career in QA and Test Automation roles. Available Immediately.
PROFESSIONAL EXPERIENCE
Quality Analyst and Automation Engineer Jan 2016 – Jul 2018
Intel
• Analyzed business requirements, prepared test plans, and executed test cases of mobile
and laptop/client apps such as CISCO WLAN application, ARUBA security application,
MobileIron, Password security web application and Intel VAC application and others.
• Interfaced with the Development team to track, review, and analyze defects through JIRA
and Rally.
• Prepared bi-weekly reports providing a high-level overview of project state, defects, and
road blockers.
• Worked in 2-3 weeks agile/scrum team to deliver product.
• Focused on performance analysis for various applications.
• Helped in saving 7 hours per day of a manual QA by automating use cases, test scenarios
for Intel customized Client applications (such as Adobe reader, UE-V, Foxit reader, Office
2016, Unite and Password Security Website) and few Intel in-house applications (App store
and Virtual assistance center). Worked in Agile methodology in delivering scripts.
• Solved the major issues currently faced by client UI automation teams by developing
automation scripts with Zero percent user interaction once the automation starts execution.
• Integrated image processing to automation framework to capture the image and convert
the image data into text which saved 3 days of manual QA time for testing the client/laptop
app which is used to share screen.
• Developed scripts to identify unauthorized access to different servers and users are
notified with respective message along with deadline and auto deletion of user account
from server after the deadline if no proper justification is provided.
• Trained my new fellow colleagues about automation framework built and particular coding
standards followed by team.
• Interacted with stakeholders from countries such as Ireland, USA, Malaysia and India
during my time with Intel as part of scrum team and received numerous appreciations along
the way.
PROFESSIONAL SKILLS
Technologies: Statistical Machine Learning, Financial Derivatives, Agile/Scrum Methodology, GIT
Programming Languages: C, R, C#, Mathematica, Python, H2O
Database: MySQL
Framework: Spec flow, White Framework (BDD), Selenium, NUnit.
Software: Visual Studio, Eclipse, Tableau, JIRA, Rally, ARINA, MS Office Applications.

2. EDUCATION
Master of Science in Data & Computational Science September 2018 – Present
University College Dublin 3.49 GPA
Bachelor of Engineering in Information Science August 2012 – May 2016
PES University 8.3/10 GPA
ACADEMIC PROJECTS
Title: - Sentimental Analysis on Amazon Product Reviews - UCD 2019
Brief Description: - Sentiment analysis was performed on data (with 3 million reviews and 28
million words) from Amazon product reviews to classify the reviews into positive or negative.
ML models used: KNN, SVM, Gradient Boosting, Logistic Regression, Naïve Bayes
Multinomial, Naïve Bayes Bernoulli, Decision Tree, Generalized Linear model, Distributed
Random Forest, H2OAutoML.
Programming and Database: Python and MySQL.
Distributed Computing Engine: H2O.
Title: - FIFA 18 Ultimate Team Prediction - UCD 2018
Brief Description: - Used the various concepts of Advanced Predictive Analytics to predict the
best squad based on overall rating of players across the world to form Ultimate dream team by
determining relationship between overall rating and other attributes of a player.
Title: - Analysis and Visualization of Fantasy Premier league (FPL) data -PESU 2015
Brief Description: - This project was developed with an aim of providing better understanding on
the Football player performance over the past week in the current league season in FPL (Fantasy
Premier league).
Web scrapping: Python, Library Beautiful Soup 4
Database and Visualization: MySQL, QlikView
AWARDS and Achievements
1. Received €4000 student scholarship from UCD.
2. Won 2nd place in Hackathon event conducted in Intel for developing IOT devices.
3. Received multiple recognitions for helping production support team by automating the
manual and time-consuming jobs.
4. Received recognitions from higher management for helping network team by developing a
script to identify the time taken by employees to connect to company network working from
home during a major network breakdown.
OTHER INTERESTS
1. Following and Playing Cricket.
2. Actively following EPL (English Premier League).
REFERENCE:
To be provided upon request.