Help & Supportcareers@gravityer.com
AI Engineer with 1+ years in Deep Learning and Data 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
I am a dedicated B.Tech student specializing in Computer Science Engineering with a strong focus on Artificial Intelligence and Data Science. I have hands-on experience in full stack development and data analytics, with proficiency in various programming languages and tools. I have completed projects involving deep learning and process automation, highlighting my problem-solving skills and technical expertise
KIET Group of Institutions
Bachelor of Technology · Computer Science Engineering
August 1, 2021 – June 30, 2025
Inspire leap
Data Science
February 1, 2025 – Present
Kākināda, Andhra Pradesh, India
Edu skills
Data Analytics Process Automation Intern
January 1, 2023 – March 1, 2023
India
Lund Nodule Detection and Classification
January 1, 2023 – June 1, 2023
A deep learning project focusing on lung nodule detection Developed a CNN-based deep learning model to detect and classify lung nodules from CT scan images Integrated a Streamlit web application for real-time image upload and prediction
Cultural Fit Analysis
The candidate's academic projects and internships show an interest in both data analytics and AI/ML, aligning with an AI Engineer role. The diversity of tools and technologies listed (Python, TensorFlow, Streamlit, Django, React, SQL, Power BI) suggests a broad technical curiosity. However, the experience is primarily academic and internship-based, which might require more structured mentorship in a professional setting.
Soft Skills & Operational Fit
The candidate demonstrates a proactive learning attitude through internships and academic projects. The project descriptions indicate problem-solving skills and an ability to integrate different technologies (e.g., CNN with Streamlit). However, without psychometric test results, it's difficult to assess logical reasoning, work attitude, stress handling, or team collaboration.