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Work Experience

Jun 2022 - Aug 2022

Jan 2022 - May 2022

Data Science/ Analyst Intern

IHS Global

Imputation of Stimulation Attributes Project

  • Imputed stimulating attributes relating to major geological well areas with data of 4000, 8000, 13000, and 25000 entries.

  • Analyzed data for trends and patterns, and derived business decisions based on the insights obtained from the large data.

  • Optimized Machine learning techniques to impute and test the accuracy of the imputation with an average accuracy of new features of 75% and increased the accuracy of already imputed features on average by 15%.

  • Collaborated with analytical leaders and machine learning engineers in the implementation and communicated the findings to technical and non-technical stakeholders.

  • Tools used: SQL, Python- Scikit Learn, Matplotlib, Seaborn.

Graduate Teaching Assistant

The University of Texas Arlington

Assisted Professor with class, prepared and graded assignments and exams, and addressed student concerns.

Education

Jan 2021 - Dec 2022

Aug 2016 - Nov 2020

The University of Texas Arlington | Arlington, Texas

Master of Science in Computer and Information Sciences

GPA: 3.83​

University of Mumbai | Mumbai, India

Bachelor of Engineering in Computer Engineering

GPA: 4.0

White Background

Technical Skills

Certifications

Spiral Object

Google Data Analytics Certification (Coursera)

Flat Round Elements

Understanding and Visualization Data with Python (Coursera)

Purple Curtain

Introduction to Data Science in Python (Coursera)

Sand Dune

Emotion AI: Facial key-points detection (Coursera)

TECHNICAL PAPER

Design of Automated Lift Door Mechanism (Paper id - NTASU1003)

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