Data Scientist at Scry AI
Graduated from USC with a Masters degree in Computer Science Specializing in Machine Learning, Deep Learning, and Artificial Intelligence. Working as a Data Scientist at Scry AI in a team of 10 people with a Agile Software Development Life Cycle.
Education
2021 - 2022
Masters in Computer Science - Artificial Intelligence
University of Southern California
Viterbi School of Engineering, LA, USA
4.0/4.0 GPA
2014 - 2018
Bachelor of Engineering in Computer Science
Devi Ahilya University, Indore, India
Institute of Engineering and Technology
3.7/4.0 GPA (WES)
2012 - 2014
Intermediate Degree
Indore Public School, Indore
90%
2011 - 2012
Matriculation Degree
St. Arnold's Higher Secondary School, Indore
9.0 CGPA
Experience
Data Science and Engineering Intern
Created and integrated new modules and functionalities into an existing product to improve and enhance it further.
Developed proofs-of-concept and demos for clients according to their requirements.
Researched and explored the latest research advancements to implement and integrate them into the current product to improve the current state-of-the-art version.
Graduate Teaching Assistant (CSCI 561 - Foundations of A.I.)
Assisted the professor in teaching, grading, and proctoring a class of 300+ students in a graduate-level course with a team of 16 teaching assistants and course producers.
Created programming assignments and Exams, and held weekly office hours for students to guide and clear their doubts.
Student Technical Assistant at USC ITS Learning Environments
Serving as the first line of support for customer technology to all faculty, staff, and students when using general-use classroom audio-visual equipment in any of the auditoria, classrooms, collaboration spaces, and computer labs across campus.
SEPT 2018 - DEC 2020
Associate Projects - Big Data Developer
Developed Spark - Scala modules to collect, transform, handle, and store about 300TB of client’s data from legacy on-premise systems like Business Objects Data Services SAP (BODS), IBM Integration Hub (IIB) and Oracle Golden Gate (OGG) on HDFS and AWS Cloud, enabling the client to analyze on the complete data and statistics to make business decisions
Created 2 new project opportunities from client worth $50,000 by training 10 junior employees in Python and PySpark technology
Increased the efficiency of the project and saved 20% time of the team by automating key repetitive tasks with Unix shell scripting
JUN 2017 - AUG 2017
Machine Learning Intern
Reduced the cost of hiring temporary staff by an estimated 10% annually by developing Machine Learning and time-series models in Python on the client’s 5-year data to predict the number of children expected to attend E-Day-Care facilities located in California, USA