
Deep learning practitioner | Computer vision enthusiast | Data scientist
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Assessing your cultural and operational fit
Jet-Tagging
November 11, 2024 – November 11, 2024
Deep neural networks to classify jets in proton-proton collisions
View ProjectCMS_Muon_Momentum_Estimation
January 27, 2022 – January 27, 2022
This project is aiming to benchmark the muon momentum estimation performance of Fully Connected Neural Networks (FCNN), Convolutional Neural Networks (CNN), and Graph Neural Networks (GNN), on the prompt and displaced muon samples detected by CSC stations at CMS to aid trigger system's transverse momentum (pT) muon estimation.
View ProjectATLAS_Deep_Compression_Task
March 20, 2021 – March 21, 2021
ATLAS_Deep_Compression_Task — GitHub repository
View ProjectFaceMaskDetection
July 30, 2020 – August 22, 2020
A sustainable and scalable face mask detection system, built in the view of the recent global pandemic. Detects masks with high accuracy and precision.
View ProjectSpeechToTextModel
February 1, 2020 – February 8, 2020
SpeechToTextModel — GitHub repository
View ProjectSimple-Linear-Regression-Model
September 10, 2019 – September 10, 2019
A simple linear regression model used to predict SAT scores of students.
View ProjectSnakeGameInPython
September 9, 2019 – September 9, 2019
The famous retro snakes game developed in python's pygame.
View ProjectFace-Recoginition-Model
June 6, 2019 – August 11, 2020
A face recognition model based on the kNN algorithm and developed in python language.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic in nature, focusing heavily on data science and machine learning. While this aligns with the target role, the lack of diverse project types or collaborative experiences makes it difficult to assess broader cultural fit. The projects indicate a strong individual drive for learning and application in specific technical domains.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are concise, but there is no information on teamwork, problem-solving approaches, or communication style.