Tejas Kakad

Experience

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  Texas A&M University

  Aug 2020 - Dec 2021

  Mathematics Teaching Assistant

  Grade exams and quizzes for MATH 251 (Calculus III) and MATH 308 (Differential Equations) and help students with doubts regarding their HW's and quizzes.

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  Urban Resilience AI Lab

  Aug 2022 - Dec 2022

  Data Science Researcher

  Developed advanced data collection frameworks in Python to systematically capture and analyze user-level recovery patterns in disaster recovery studies, increasing the resolution and accuracy of behavioral data analysis.Applied machine learning techniques and statistical models (including regression analysis and cluster analysis) to dissect large datasets, identifying patterns and trends to inform equitable recovery strategies.Utilized Python libraries such as Scikit-Learn, Pandas, and NumPy to perform exploratory data analysis and visualize disparate data sources, deriving actionable insights for urban resilience enhancement.Co-authored a journal publication focusing on the statistical analysis of homogeneity and entropy in post-disaster recovery, contributing to academic discourse on urban resilience. Show less

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  Urban Resilience.AI Lab

  Jan 2024 - May 2024

  Data Science Researcher

  Collaborated with a doctoral candidate to spearhead an in-depth analysis of traffic disruptions caused by Hurricane Harvey, leveraging Python in a Jupyter Notebook setting to manage and analyze sophisticated traffic datasets.Utilized Pandas for robust data structuring and manipulation, and NumPy for complex numerical computations to analyze pre- and post-disaster traffic flows across Houston.Integrated NetworkX to model and analyze the network of city junctions, enabling a detailed examination of traffic patterns and connectivity disruptions.Applied GeoPandas for advanced geospatial analysis, correlating junction-to-junction travel times with property damage assessments within a one-mile radius, providing a spatial dimension to the traffic data.Developed predictive models that combined temporal and spatial data analyses to yield comprehensive insights into the infrastructural impact of natural disasters, contributing significantly to urban planning and disaster resilience strategies. Show less