Help & Supportcareers@gravityer.com
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
saiva
Software Engineer
June 15, 2026 – Present
machine_learning_projects
March 20, 2026 – Present
machine_learning_projects — GitHub repository
View ProjectML_challenge_calculate_severity_of_plane_accident
January 15, 2020 – February 18, 2020
https://www.hackerearth.com/challenges/competitive/airplane-accident-severity-hackerearth-machine-learning-challenge/problems/
View ProjectGameAzon-Fraud-Detection--ML
October 15, 2019 – October 15, 2019
GameAzon Fraud Detection using logistic regression, random forest classifier and XGBoost classifier
View Projectlatent_semantic_analysis
May 27, 2019 – May 27, 2019
latent_semantic_analysis — GitHub repository
View ProjectRealstate-property-data-scrapper
May 20, 2019 – May 20, 2019
Small project which scraps the real state website - https://www.pythonhow.com/real-estate/rock-springs-wy/LCWYROCKSPRINGS/ and give the important data in tabular format using pandas
View ProjectVideo-Audio-to-Text-convertor
May 20, 2019 – May 27, 2019
Video-Audio-to-Text-convertor — GitHub repository
View Projectwebcam_motion_detector
May 8, 2019 – May 14, 2019
Project to detect movements in webcamera and contouring it using openCV.
View ProjectFlight_ticket_price_prediction
April 1, 2019 – June 19, 2019
Participating in machine hack competition
View Projectpython_datascience_ml_bootcamp
December 17, 2018 – April 22, 2019
This repository contains the practice codes for Python for Data Science and Machine Learning Bootcamp by jose portilla
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily focused on personal machine learning and data science challenges, indicating a strong interest in these areas. However, the projects lack diversity in terms of full-stack development, system design, or collaborative team efforts, which are often crucial for a general 'Software Engineer' role. The experience level of 0 and a future-dated professional role make it difficult to assess cultural fit based on past work environments or team contributions.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's experience level is listed as 0, and the single professional experience entry has a future start date, providing no past performance or collaboration context. Project descriptions are brief and do not offer insights into teamwork or problem-solving approaches.