Shaival Shah

Intern Member of Technical Staff - Engineering Operations

VMware•  May 2020 - August 2020

Successfully carried out an analysis on test results data to correlate files and workloads failure, which helps reduce triage time drastically. Extracted information looking at the data in various ways and came up with rare patterns between workloads failure and files. Synthesis formula to give failure score to workloads given the list of files edited to identify workload most likely to fail. Optimized data mining operations using pandas and parallelize the function using multiprocessing.

Data Analyst Part-time

North Carolina State University•  January 2020 - March 2020

Process 2 million individuals’ data to prepare data for prediction algorithm and efficiently store in the PostgreSQL database. Increased accuracy of prediction algorithm feeding Boolean flags from patients’ data created leveraging Python and Pandas.

Spring Intern

VMware•  January 2019 - June 2019

Devised an algorithm in Python to differentiate OS processes from the application process, reducing user effort to get safe processes. Implemented a novel clustering algorithm to get the groups of VMs that run similar processes and make similar connections. Collaborated with the DevOps team and worked on the Jenkins pipeline to create a job of getting information on open source libraries. Developed the shell script which setups the virtual machine and builds the AppDefense project when executed by Jenkins job.

Data Scientist Part-time

FirstAlign Solutions•  June 2018 - January 2019

Implemented state model with a set of rules and developed strategies to identify the best time to enter and exit the trade in real-time. Designed and implemented a deep learning model, CNN-LSTM to predict entry and exit triggers, and also give future trends. Formulated various preprocessing algorithms on time series data which significantly increased accuracy for future prediction.

Machine Learning Intern

SoftVan•  May 2018 - June 2018

Developed algorithm using Python, OpenCV HOG, and Dlib face encodings which concurrently trains new faces while predicting known faces with false positive of 0.6%. Leveraged face tracking and clustering algorithm to train multiple faces in a single frame.

North Carolina State University, Raleigh

Computer Science, MS•  August 2019 - Present

Enrolled in apply computer science courses. Also completing the data science track while obtaining a Masters in Computer Science degree. GPA: 4.0/4.0

Nirma Institute Of Technology, Ahmedabad

Computer Engineering, B.Tech•  August 2015 - May 2019

GPA: 8.57/10