About me

I’m a graduate student at Georgia Institute of Technology advised by Prof. Dimitri Mavris, and a Research Assistant at Aerospace Systems Design Laboratory. I am interested in Data Science, Machine Learning, and Natural Language Processing problems and their applications.
Apart from being a researcher, I am inclined towards education as well. I have worked as a certified tutor during my undergraduate years and I am curently working on a book about Discrete Mathematics.
I have a Master’s degree in Aerospace Engineering (with a focus in System Design and Optimization) where I worked on analyzing helicopter accidents by applying data analysis and statistical methods for my masters project.
I graduated from Florida Institute of Technology in 2017 with a bachelor’s degree in Aerospace Engineering, where I worked closely with Prof.Markus Wilde.

Interests

  • Data Science and Analytics
  • Artificial Intelligence
  • Machine Learning
  • Natural Language Processing
  • Multidisciplinary design analysis and optimization

Education

  • Ph.D, AE System Design and Optimization, 2017-

    Georgia Institute of Technology

  • Master's degree, AE System Design and Optimization, 2018

    Georgia Institute of Technology

  • Bachelor's degree (summa sum laude), Aerospace Engineering, 2017

    Florida Institute of Technology

Skills

Python

Machine Learning

Statistical Analysis

SQL

Data Visualization

Experience

 
 
 
 
 

Graduate Research Assistant

Georgia Institute of Technology

Jan 2018 – Present Atlanta

Relevant Projects:

  • LEADER-X (Learning, Exploration, And Discovery by Research And Experimentation)
    Sponsored by IARPA

    • Utilized data fusion techniques to combine data sources available at Georgia Tech, to provide situational awareness
    • Created data-driven models of key metrics to enable prediction of future performance (for energy usage, building use, mobility on campus) under defined conditions
    • Used uncertainty quantification and management techniques to determine confidence in predictions
    • Worked in a team of 4 people where I led the data collection, pre-processing and exploratory analysis part of the project and helped with the development of ML model


  • Accident Analysis for Georgia Tech Atlanta Campus

    • Identified the hotspots (areas where accidents are more likely to occur) and the contributing factors – this is of concern since GT campus has a high pedestrian traffic concentration (people on foot, bicycles, skateboards)
    • Obtained the accident database from the GT Police department - worked on pre-processing the data and performed exploratory data analysis
    • Used text mining techniques to analyze the accident reports that were stored in databases
    • Looked into the correlations between the different contributing factors to an accident (such as weather, location, lighting conditions, etc.)
    • Created a dashboard (interactive environment) for the police department to use to evaluate certain scenarios (surge events on campus, street closure and their effect on pedestrian and vehicular flow, etc.)
    • Results:

      • Most of the accidents (49.5%) involving pedestrians were caused due to ‘No improper action’ by the pedestrian
      • Level of distraction (use of mobile phones, etc.) among pedestrians results in few accidents but this might be a reason for concern since the distraction levels are on a rise
      • The hilly terrain of GT campus served as a contributing factor that led to accidents at certain locations
      • A high amount of accidents involving pedestrians were going unreported since students are usually in a rush to get to class or due to minimal damage caused
 
 
 
 
 

DAAD Rise Scholar

Friedrich-Alexander-University of Erlangen-Nürnberg

Jun 2016 – Aug 2016 Germany
Project: Simultaneous Measurement Of Velocity and Temperature using Thermographic Phosphors
 
 
 
 
 

Undergraduate Project

Florida Institute of Technology

Apr 2016 – May 2017 Florida
  • ARISE: Sounding Rocket Instrument for the Verification of a Novel Wire Repair Method in Microgravity
    Sponsored by NASA and Vencore Inc.

    • We worked on designing an autonomous payload to test polyimide film patch wire-repair technology in a microgravity environment. NASA flew our payload on their Terrier/Improved Malemute sounding rocket in March 2018 for testing the performance of this technology in microgravity.

Certifications

Tableau Data Scientist

See certificate

Supervised learning with scikit-learn

See certificate

Natural Language Processing in TensorFlow

See certificate

Neural Networks and Deep Learning

See certificate

Certified Tutor, Level 1 and 2

The College Reading and Learning Association (CRLA) is a group of student-oriented professionals active in the fields of reading, learning assistance, developmental education, tutoring, and mentoring at the college level. CRLA’s overall purpose is to provide a forum for the interchange of ideas, methods, and information to improve student learning and to facilitate the professional growth of its members.

Projects