Anula Agrawal

Anula Agrawal

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Data Scientist-GenerativeAI/Agentic AI
Bengaluru, Karnataka, India

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Jobs verified_user 0% verified
  • Feuji
    Senoir AI/ML Engineer
    Feuji
    Feb 2026 - Current (8 months)
  • turing
    Senior Machine Learning Engineer
    turing
    Jul 2025 - Feb 2026 (8 months)
  • INFOCUSP INNOVATIONS
    Senior Machine Learning Engineer
    INFOCUSP INNOVATIONS
    Jul 2024 - Jul 2025 (1 year 1 month)
  • Regeneron
    Data Scientist (AI/MLOPs Engineer)
    Regeneron
    Dec 2023 - Jun 2024 (7 months)
  • Schlumberger
    Data Engineer (Commercialization Geophysicist)
    Schlumberger
    Oct 2020 - Nov 2023 (3 years 2 months)
    - Analysing lots of seismic data and their chats and proving information like which type of gather its belong to.
    - Reconstruct missing/noisy portion of Seismic curves using ML/AI techniques.
    - Using geophysical and IT, knowledge and expertise to perform quality assurance on cloud-based geophysical angular and angular JS applications (GAIA, GAIA-OSDU and SDMS )
    - Do API testing using postman
    - Mentored new joinee for building frameworks and identifying potential software bugs.
  • Indian Institute of Technology Roorkee
    Research Fellow: Master's Dissertation
    Indian Institute of Technology Roorkee
    May 2019 - Jun 2020 (1 year 2 months)
    Worked on a project title 'Three-dimensional magnetotelluric inversion from Chamoli data'.
    Using AP3DMT MATLAB based computer code, for modelling and inversion of 3D Magnetotelluric (MT) data.
  • University of Bristol
    Summer Internship
    University of Bristol
    May 2019 - Jul 2019 (3 months)
    In the Summer 2019, I worked on a project “Lowermost mantle seismic anisotropy from splitting discrepancies in SKS/SKKS phases” under the Prof. James Wookey of the Department of Earth Sciences, University of Bristol, England.

    This project was focused on SKS and SKKS, which have for a long time been used to study shallow anisotropy. We can compare systematic differences between SKS and SKKS measurements with pre-existing models of lowermost mantle anisotropy. This should extend our coverage of the lowermost mantle(D double prime layer), especially into regions where volatiles might be important.

    In this project I did data analysis in SAC and plotting with the help of gmt, as well as MATLAB programming to interpret the
  • Oil and Natural Gas Corporation Ltd
    Winter Intern
    Oil and Natural Gas Corporation Ltd
    Dec 2018 - Jan 2019 (2 months)
    In Winter, I did Industrial Training under the guidance of Mr. Soumitra Banerjee, Dy. General Manager, Head EPINET at Oil and Natural Gas Corporation (ONGC), Dehradun. In this intern I learned how to handle the real well log data . To do this I did depth matching, splicing and follow different steps and then finally did the interpretation by using different crossplots and different logs information with the help of the software Geoframe.

    I used Geoframe for Viewing, manipulating, and interpreting different log data.
  • National Chiao Tung University
    Summer Internship
    National Chiao Tung University
    May 2018 - Jul 2018 (3 months)
    In the Summer 2018, I worked on a project Mode Separation in Rayleigh waves using High Resolution Radon Transform" under the Prof. Chih Ping Lin of the Department of Civil, National Chiao Tung University, Taiwan . My work mainly involved enhancing the resolution of the Seismic data so that different modes of Seismic waves can be separated which would make it easier to extract the Fundamental mode. To achieve the same, I applied High Resolution Radon Transform and wrote a code on MATLAB which uses preconditioned Conjugate gradient algorithm.
  • Indian Institute of Technology Roorkee
    Geophysical Field Training
    Indian Institute of Technology Roorkee
    Dec 2017
    This Semester, I have also undergone Geophysical Field Training in Rudraprayag, India for 10 days. where we did different type of Geophysical surveys like seismic survey ( by using McSeis-SX instrument), electrical survey( by using different type of arrays) and Gravity-magnetic survey(by using CG-5 gravimeter and proton precision magnetometer(PPM)).
  • Indian Institute of Technology Hyderabad
    Summer Internship
    Indian Institute of Technology Hyderabad
    May 2017 - Jul 2017 (3 months)
    After my sophomore year in Summer 2017, I woked on a project “On slip Inversion and seamount
    modeling ” at Indian Institute of Technology, Hyderabad under the Prof. Surendra Nath Somala of the Department of Civil.

    In slip Inversion on a assumed fault plane to determine seismic slip we first divide the fault plane into a number of rectangular sub-faults and determine the amount of slip on each of the sub-faults.

    On seamount modelling I worked mainly on two models, one is simple friction model and second is Slip Weakening Friction Model.

    In this I have to see the geometrical effects of a subducted seamount on stopping megathrust ruptures by using different friction model. It is basically the project to s
  • Indian Institute of Technology Roorkee
    Geological Field Training
    Indian Institute of Technology Roorkee
    Dec 2016
    I have undergone Geological Field Training in Nagpur, India for 20 days Pranhita-Godavari basin
    where we worked with various Paleoseismic evidences to recreate the ancient geologic settings.
  • Indian Institute of Technology Bombay
    Summer Internship
    Indian Institute of Technology Bombay
    May 2016 - Jul 2016 (3 months)
    After my freshmen year in Summer 2016, I did a project “The Heterogeneity of Mathematical practice”at Indian Institute of Technology, Bombay under the Prof. K. Ramasubramanian of the Department of Humanities and Social Sciences. I did literature survey in mathematics and our main aim was to find the proofs of the statements given by Indian mathematician.
Education verified_user 0% verified
  • Indian Institute of Technology Roorkee
    Integrated M-tech( Btech +Mtech 5 year course, Geophysics and Seismology
    Indian Institute of Technology Roorkee
    Jan 2015 - Jan 2020 (5 years 1 month)
Projects (professional or personal) verified_user 0% verified
  • B
    Bootstrapping and Boosting Decision Tree based Ensemble Learning Algorithms Applied to the Iranian Strong Motion Data
    Apr 2020 - Jan 2021 (10 months)
    • Machine learning algorithms are applied on the Iranian earthquake for predicting the peak ground acceleration.
    • The data set of different earthquakes are used to predict the earthquake response parameters
    • Used four well-developed machine learning algorithms, i.e., decision tree, random forest, AdaBoost,and XGboost, to the seismic database and evaluate the best algorithm for the prediction.
    • Submitted paper in the Iranian Journal of Earth Sciences and its under review.
  • S
    Shock Wave
    Jan 2018 - Current (8 years 9 months)
    Basically, It is the model for Blast Wave in which we consider that a spherical wave has been created by the blast. The shock wave has been modelled by assuming that at origin gas has been replaced by discontinuous pressure for some spherical region. In this project, I am working Under Prof. Priti Maheshwari and Prof.P. Bhargava of the Department of Civil, Indian Institute of Technology, Roorkee
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