Help & Supportcareers@gravityer.com
Results-driven data scientist with experience in machine learning, NLP, business intelligence, and predictive analytics.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Probablistic-Graphical-Modeling
January 30, 2026 – Present
This repository contains code and analysis for investigating memorization and generalization in flow-based generative models when training data is limited.
View Projectsemantic_image_segmentation
January 16, 2026 – Present
semantic_image_segmentation — GitHub repository
View Projectgithubportfolio
December 27, 2025 – December 29, 2025
githubportfolio — GitHub repository
View ProjectAdvanced_ML_MLDM
November 19, 2025 – December 30, 2025
Advanced_ML_MLDM — GitHub repository
View ProjectML-fundamentals-SVM-project
February 14, 2025 – April 18, 2025
This repository contains all the code files and datasets related to the project on SVMs for the course "ML Fundamentals and Algorithms", which is a part of the second semester of MLDM programme at University of Jean Monnet, Saint-Etienne, France.
View ProjectCredit-Card-Detection-using-Autoencoder-and-LSTM
June 13, 2022 – Present
The goal of this research is to provide an effective approach for automatically detecting credit card fraud involving financial institutions.
View ProjectCultural Fit Analysis
The candidate's personal projects show a strong inclination towards research and academic exploration in Machine Learning and Data Science. The diversity of project topics (fraud detection, generative models, image segmentation) indicates a broad interest within the field. However, the lack of professional experience or team-based projects makes it difficult to assess collaboration and real-world application fit. The projects are well-aligned with a Data Scientist role, but the absence of professional context limits the depth of this assessment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.