Engineer Software

Lakshya Garg

linkedin.com/in/lakshyagarg** adhjxi@r.postjobfree.com 480-***-****

https://github.com/Lakshya0744 Tempe, AZ

Education

Arizona State University, Tempe-AZ, USA Expected May 2020 Master’s of Science in Computer Science Cumulative GPA: 3.45/4.00 (Present) Related Coursework: Software Security, Foundation of Algorithms, Software Quality Assurance, Data Mining, Software Requirements and Specifications, Information Assurance and Security, Data Processing at Scale, Data Visualization, Software Verification Validation and Test Vellore Institute of Technology, Vellore-Tamil Nadu, India July 2015 - April 2019 Bachelor’s in Computer Science Cumulative GPA: 7.49/10 Related Coursework: Data Structures and Algorithms, Object Oriented Programming, Theory of Computation, Problem Solving and programming, Artificial Intelligence, Natural Language Processing, Human Computer Interaction, Distributed and Parallel Computing. Work Experience

Cyr3con, Tempe AZ, US — Software Engineer Intern May 2020 – Aug 2020

• Developed, tested and deployed to production quality parsers and crawlers for a variety of websites hosted on multiple different networks and protocols which increased data pipeline collection capacity by 20%.

• Devised new methods and techniques for solving issues with data collection in different websites, thereby clearing all the back-log.

• Performed verification and other quality-assurance test to maximize the lifetime of newly developed scripts.

• Technologies: Selenium, Python, MongoDB, Beautiful Soup. Intello Labs, Gurgaon, India — Software Engineer Intern Jan 2019 – Apr 2019

• Created and maintained MySQL database to store the scrapped data from web-sites.

• Improved the algorithm for image processing using OpenCV to solve the problem of refining images for further processing, thereby increasing the accuracy of the algorithm.

• Developed Power BI spreadsheets for statistical and analytical visualizations of excel data related to various products and clients for easy representation and reduce time spent on analysis of the data during project meetings.

• Developed Web Scrapping algorithm in Python for data-collection from a web-site which also required selenium automation.

• Technologies: Python, Postman, MySQL, OpenCV, PowerBI. Selenium NextSpace Technologies, Gurgaon, India — Software Engineer Intern June 2017 – July 2017

• Designed and Developed automation bots for filling online-web forms thereby saving time and reducing cost, wrote scripts to convert excel file data into google doc records, this helped in cutting through 3 days of manual work to an automated task taking 15 minutes. Project Work

Industry Level Implementation of Activity Tracking System Aug 2019 – Dec 2019

• Designed an activity tracking mobile application which had enhanced functionalities as compared to the present applications and implemented the application on wearable devices as well. Used technologies like Java, HTML5, CSS, JQuery, Android Studio.

• Documented Software Requirements, Goal and Requirement Models and Software Architecture using OSATE, ALISA, AADL and OBJECTIVER.

Continuous Glucose Monitor, Data Analysis Jan 2020 – May 2020

• Extracted time series features of the given Glucose data and time stamp values corresponding to it.

• Given raw data, first processed the data and then applied time series features to extract time series matrix and performed PCA analysis for dimensionality reduction. Used PCA, Pandas and tsfresh python libraries.

• Made plots for the PCA eigen values and feature matrix values using MatplotLib. Secure Banking System Jan 2020 – May 2020

• Designed and Developed a web-application with various functionalities like Login, Signup, User Account Access, Employee Account Access, Admin, Authorize transactions etc.

• Technologies used – HTML, CSS, Javascript, Jquery, Handlebars, Java, Springboot and Swagger API. Skills and Tools

Programming Languages

Python, JavaScript, C++, Java, NodeJS

Databases MySQL, MongoDB

Web Technologies HTML5, CSS, EJS, Jquery

Frameworks/Tools Selenium, Handlebars, Express, Weka Tool, PowerBI, Postman, Chrome Web Driver, PyUnit, D3 Version Control GIT

Technical Papers

Akshita Sharma, Bhanu Pratap Singh, Lakshya Garg, et al. “Early prediction and diagnosis of Chronic Kidney Disease using Weka Tool and Apriori Algorithm” (2019) Journal of Analysis and Computation. https://tinyurl.com/y5t2arx7

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