Help & Supportcareers@gravityer.com
AI Engineer with less than a year in Machine Learning and Data Analysis, focusing on Generative AI.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Analytical engineering graduate aspiring Data Scientist with a strong interest in data and problem solving. Hands-on project experience in machine learning and data analysis, focused on identifying patterns and building practical, data-driven solutions. A consistent and self-motivated learner with a growing interest in Generative AI.
Great Lakes Institute of Management
Post Graduation Program (PGP) · Data Science with Specialization in GenAI
September 1, 2025 – May 1, 2026
R.V.R&J.C College of Engineering
Bachelor of Technology (B.Tech) · Information Technology
August 1, 2021 – July 1, 2025
Bhashyam Junior College
Intermediate
July 1, 2019 – April 1, 2021
Bhashyam High school
SSC
July 1, 2018 – April 1, 2019
Student Course Completion Prediction
June 22, 2026 – Present
Business Objective: To predict student course completion using learning and engagement data through machine learning techniques. Approach: • Analyzed and processed 100K+ student records including demographic details, engagement metrics, and course completion status. • Conducted exploratory data analysis (EDA) and feature engineering to improve data quality and model robustness. • Built and evaluated classification models such as Logistic Regression, Random Forest, and XGBoost to compare performance.
RAG-Based Chatbot (Streamlit + Gemini)
June 22, 2026 – Present
Business Objective: To build an interactive chatbot that provides accurate answers by combining document-based context with a generative AI model. Approach: • Developed a web-based chatbot using Streamlit and Python. • Implemented a Retrieval-Augmented Generation (RAG) pipeline and integrated Gemini 2.5 Flash Lite for context-aware responses.
Crash Course on Python
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate an interest in applying AI/ML to practical problems, which aligns with an innovative and problem-solving culture. The specialization in Generative AI indicates a forward-looking mindset. However, the lack of professional experience or diverse project types beyond academic settings limits the assessment of broader cultural fit, such as collaboration in a corporate environment or adaptability to different team dynamics.
Soft Skills & Operational Fit
The candidate's resume highlights a 'consistent and self-motivated learner' and 'strong interest in data and problem solving'. Project descriptions indicate an ability to work through a problem from analysis to model evaluation. However, without direct work experience or psychometric test results, it's difficult to fully assess operational fit, teamwork, or stress handling capabilities.