Gaurav Yengera
Data ScientistMember since June 25, 2026
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
neural-network-wasserstein-convergence
June 21, 2026 – Present
Code for Master's thesis "Wasserstein Convergence Rates for Wide Neural Networks: A Comparative Study" (University of Luxembourg, 2026). Simulates finite-width ReLU networks with Gaussian weights and measures convergence to the Gaussian process limit using sliced Wasserstein distances..
View ProjectDeFiScanner
November 17, 2025 – November 17, 2025
DeFi monitoring and arbitrage detection system
View Projectneurips2021_curriculum-teaching-demonstrations_code
October 23, 2021 – November 16, 2021
neurips2021_curriculum-teaching-demonstrations_code — GitHub repository
View ProjectICML04-Inverse-Reinforcement-Learning
March 16, 2020 – March 16, 2020
Implementation of the 2004 ICML paper "Apprenticeship Learning via Inverse Reinforcement Learning"
View ProjectMin_Eigenvalue
April 10, 2017 – April 10, 2017
Compute the minimum eigenvalue and corresponding eigenvector of sparse symmetric matrix
View ProjectCholesky_Eigen
April 1, 2017 – April 2, 2017
Solution of linear system QX = B using the Cholesky decomposition of matrix Q. Eigen library is used for the computations.
View ProjectInerital-Navigation-System
March 11, 2016 – November 9, 2016
Attitude reference system using IMU + GPS
View ProjectRobust-Recursive-Kalman-Filter
March 9, 2016 – January 7, 2018
Givens rotation based method to compute robust Kalman filter
View ProjectDriver-Arm-Detection-in-3D-images
March 8, 2016 – April 13, 2016
The code of the neural networks used for detecting the driver's arms in Microsoft Kinect depth images obtained from the Driver's Motion Depth DataBase (DMDDB).
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and research-oriented, showcasing a strong drive for independent technical exploration and problem-solving. The diversity of projects, from theoretical machine learning to embedded systems and financial applications, suggests adaptability and a broad interest in technical challenges. However, the lack of team-based or collaborative project descriptions makes it difficult to assess cultural fit in a team-oriented environment. The target role of 'Data Scientist' aligns well with the candidate's demonstrated skills in data analysis, machine learning, and scientific computing.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions indicate a strong technical focus and ability to work on complex, research-oriented problems independently.