Help & Supportcareers@gravityer.com
Data Scientist Machine Learning Engineer
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
jd-resume-analyzer-crewai
January 29, 2026 – Present
Multi-agent JD–Resume match analyzer using CrewAI
View Projectrag_based_text_to_sql_system
August 19, 2025 – August 25, 2025
This notebook contains code for a text-to-SQL system, allowing users to fetch information from the database using natural language instead of writing SQL queries manually. It also incorporates the RAG (Retrieval-Augmented Generation) technique.
View ProjectFinancial_QA_System
August 18, 2025 – August 18, 2025
Implemented Financial QA system using RAG methodology with Langchain
View ProjectAll-My-Projects
December 10, 2021 – March 28, 2023
Whatever Projects i worked on using different ML/CV/NLP algorithms all are available at this repo
View Projectcustomer_segmentation
April 2, 2021 – April 2, 2021
Customer Segmentation (Multiclass classification) using different ML classification algorithms
View ProjectNamed-Entity-Recognition-BILSTM-CRF
January 22, 2021 – January 22, 2021
Named-Entity-Recognition-BILSTM-CRF — GitHub repository
View Projectintent_classification
October 5, 2020 – October 5, 2020
intent_classification — GitHub repository
View Projectsentiment_analysis
September 9, 2020 – September 9, 2020
sentiment_analysis — GitHub repository
View Projectresume_parser
September 9, 2020 – September 9, 2020
Same as CV Summarizer with different dataset
View ProjectCultural Fit Analysis
The candidate's projects indicate a strong focus on personal learning and exploration within the Data Science domain. The diversity of ML/NLP projects suggests an eagerness to experiment with different techniques. However, without information on collaborative projects, team roles, or communication styles, a comprehensive cultural fit analysis is not possible. The projects are primarily personal, which limits insight into collaboration and team dynamics.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, and there are no psychometric test results or interview notes.