curriculum vitae

General Information

Full Name Neetu Kushwaha
Contact neetumits [at] gmail [dot] com
Languages English (fluent), Hindi(fluent)

Research Areas

  • My research centers on machine learning and natural language processing in spatial finance, with a current focus on information extraction, question answering, and named entity recognition.
  • I've also applied unsupervised machine learning techniques, such as clustering, for recommender systems and text analysis.

Education

  • 2015 - 2019
    Indian Institute of Technology Roorkee, India – Ph.D. in Machine Learning
    • Co-advised by Prof. Millie Pant
    • Thesis: Enhanced Metaheuristics Based Clustering Algorithms and Their Applications.
  • 2010 - 2012
    M.Tech in Computer Science - Indian Institute of Technology, Patna, India
    • Thesis: Thesis: Software Cost Estimation using Soft Computing Method
  • 2005 - 2009
    B.Tech in Computer Science - - MITS, Gwalior, India.

Work Experience

  • 2022 - now
    Research Associate at The Alan Turing Institute, London, UK
    • Mapping and characterizing the world’s most polluting assets using NLP and other AI technologies Extracting information and knowledge by looking into newspapers, reports, and satellite images Developing novel AI algorithms for developing asset-level databases
  • 2020 - 2021
    Postdoctoral Researcher at Inria, Rennes, France
    • Research on Pattern Mining for Neural Networks Debugging.

Teaching Experience

  • Spring 2018
    Assistant professor in Computer Science & Engineering Galgotias University, India

Projects

  • ○ Neural Network debugging.
  • ○ Recommender system for Movielens dataset using clustering.

Computer skills

  • ○ Programming languages: C++, Python, Matlab.
  • ○ Data Structures and Algorithms
  • ○ Frameworks: Pytorch, Tensorflow, NumPy, SciPy, Pandas.
  • ○ Scientific: Matlab, Latex, Git.
  • ○ Database Systems: MySQL, NOSQL.

Other Interests

  • Sports: Table-tennis
  • Hobbies: traveling and movies