Shaurya Rawat

*** ******** ***** **., ********* G, Amherst, MA 01002

github.com/shauryarawat1 linkedin.com/in/shauryarawat00 > advjtw@r.postjobfree.com Ó +1-413-***-**** Education

University of Massachusetts Amherst Expected May 2024 Master of Science in Computer Science GPA: 3.5/4.0 SVKM’s NMIMS University, India June 2022

Bachelor of Technology in Computer Engineering GPA: 3.7/4.0 Graduated First Class with Distinction

Experience

Mactores May 2021 - July 2021

Data Engineer Intern Mumbai, India

• Optimized the migration of 500 GB of data from local databases to AWS Redshift with an improvement of 30% in speed by data cleansing and creating smaller batches of data.

• Remodeled and automated data collection process by leveraging Python libraries for web scrapping resulting in a 50% reduction in process time.

• Collaborated with engineering and design teams to develop an efficient software architecture that enabled 30% faster updation of pipeline operations by reducing latencies at the frequently utilized resources.

• Developed dashboards using Flask and REST APIs. Achieved 12 times faster data validations and improved function- alities for logging.

Projects

The Apple Company Project

Oct 2022 - Dec 2022

• Conceptualized and deployed an educational game to teach logic on Unity Engine and using C#

• Leveraged Path finding and Finite State Machine algorithms to enable the movement and interaction of NPCs with the player which can either help or detract from the objective.

• Integrated and modified the Procedular Level Generation which dynamically created the environment 2.5 times faster and at a higher complexity than previous levels.

• Scored 100% in the final project evaluation graded by the panel consisting of PhD students, course instructor, and an experienced game designer.

Footstats Project

May 2021- Feb 2022

• Designed and developed a football analysis and prediction app using React.js and Flask that covers over 150 leagues worldwide.

• Collated and used own APIs for data scraping at a 20% higher rate from the server using Selenium and fetched JSON data sets.

• Trained and utilized 10 ML models including Random Forest, Gradient Boosted Model, K-Means, and Generalized Linear Model and customized them to predict statistics, market value and attributes of 100,000 players

• Achieved over 95% accuracy in predictions on various metrics such as MSE, MAE, RMSE, and R2 after customizing the models by manipulating the right combination of hyperparameters. Attendance Manager Project

Oct 2020 - Jan 2021

• Built a sample web application for students to manage their attendance using HTML, CSS, PHP and JavaScript

• Optimized extraction of the student details from the online class roster as JSON files by 15% with use of self-created APIs and Axios

• Synthesized over 3000 data entries from the initial data of 200 students using Python and designed a local database in SQL.

• In a Google form survey, almost 85% of the prototype users agreed that a full-fledged application will aid them in managing attendance.

Skills

Programming languages: C++, Python, C# Web Technologies: HTML, CSS, JavaScript, React, Flask ML/AI: Pytorch, Tensorflow, OpenCV, Matplotlib, Seaborn Miscellaneous: MySQL, AWS, Linux, Git, Unity Relevant Coursework

Bachelors: Deep Learning, NLP, Algorithms, Web Programming, DBMS, Computer Networks, Industrial IOT Masters: Machine Learning, Software Engineering, Game Programming, Visual Computing, Operating Systems

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