Help & Supportcareers@gravityer.com
Data Analyst with less than a year in Data Extraction & Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst with hands-on internship experience at Toyota in data extraction, structured analysis, and reporting from large industry datasets. Proficient in SQL, Python, Power BI, and Tableau for transforming raw data into clear, actionable insights. Skilled in data cleaning, feature extraction, data visualization, and applying statistical and machine learning techniques to support data-driven decision-making.
SDM Institute of Technology, Ujire
B.E. · Artificial Intelligence & Data Science
August 1, 2022 – June 30, 2026
Krupanidhi PU College, Bengaluru
PUC (12th Standard)
June 1, 2020 – May 31, 2022
St. Thomas English Medium High School, Bengaluru
SSLC (10th Standard)
N/A – May 31, 2020
Toyota
QA Intern (Data Analysis)
February 1, 2026 – May 1, 2026
Bengaluru, Karnataka, India
Vehicle Feature Extractor Website
June 21, 2026 – Present
• Built an NLP-based data extraction pipeline in Python to convert unstructured brochure and web data into structured, analysis-ready datasets. • Designed an interactive analytics dashboard in Figma to visualize extracted feature metrics and trends, supporting data-driven insights. • Applied data cleaning, categorization, and feature extraction techniques to organize large volumes of vehicle feature data for reporting.
Fake Video Detection System
June 21, 2026 – Present
• Conducted exploratory data analysis on video frame datasets and applied classification models (ResNet-50, Random Forest, XGBoost) to identify patterns. • Performed model evaluation, result interpretation, and performance reporting using Python and Scikit-learn.
Decentralized To-Do List Application
June 21, 2026 – Present
• Built a decentralized task management application using Solidity and Ethereum test networks with smart contracts for secure, transparent data tracking.
Python for Data Science – IBM Cognitive Class
IBM Cognitive Class
June 1, 2026 – Present
Data Science & Analytics – HP Life
HP Life
June 1, 2026 – Present
AI for Beginners - HP Life
HP Life
June 1, 2026 – Present
Oracle Cloud Infrastructure (OCI) 2025 AI Foundations
Oracle
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects show a diverse interest in AI, data science, and even blockchain, indicating a curious and adaptable mindset. The internship at Toyota aligns well with industry exposure. The breadth of skills (NLP, ML, data visualization, blockchain basics) suggests a willingness to learn and explore different technical domains, which can be a positive for cultural fit in a dynamic environment. However, the experience is primarily academic and internship-based, so the depth of real-world collaboration and problem-solving in a team setting is yet to be fully demonstrated.
Soft Skills & Operational Fit
The candidate's project descriptions and internship experience suggest an ability to collaborate (e.g., 'Collaborated with engineering mentors') and apply structured problem-solving. The academic projects demonstrate initiative and a foundational understanding of data science workflows. However, without specific psychometric or English test results, a comprehensive assessment of soft skills, logical reasoning, work attitude, stress handling, and team collaboration is not possible.