QIS College of Engineering & Technology, Vengamukkapalem (Village), Pondur Road, Ongle(M),PIN-523 272.(CC-49)

Profile URL

https://talent.gravityer.com/ravipati-chaitanya

Ravipati Chaitanya

QIS College of Engineering & Technology, Vengamukkapalem (Village), Pondur Road, Ongle(M),PIN-523 272.(CC-49)

Ongole, Andhra Pradesh, India

Since April 20, 2026

About

My name is Ravipati Chaitanya, and I am currently based in Hyderabad. I have completed my B.Tech in [Your Branch] from [Your College Name]. I have a strong foundation in programming languages such as C, Java, and Python. Along with this, I have basic knowledge of AWS Cloud and AI-ML concepts, which I explored during my academic learning. I am a quick learner, self-motivated, and I enjoy solving problems. I have focused on building my technical and logical skills, which I believe will help me adapt quickly in a professional environment. As a fresher, I am looking for an opportunity to start my career in a reputed organization where I can learn new technologies, enhance my skills, and contribute to the company’s growth.

Skills

JavaPythonHTMLCss3SQL

Education

QIS College of Engineering & Technology, Vengamukkapalem (Village), Pondur Road, Ongle(M),PIN-523 272.(CC-49)

Bachelor Of Technology · Computer Science Engineering

November 25, 2021 – June 2, 2025

Key Strengths

Exceptional performance in Full Stack Python development, demonstrating strong technical aptitude.
Solid academic foundation in Computer Science Engineering with a commendable CGPA (8.51/10).
Relevant certifications in AWS Cloud and Google AI-ML, indicating foundational cloud and machine learning knowledge.
Practical experience with Machine Learning and Natural Language Processing through academic projects.
Good communication and psychometric scores suggest strong foundational soft skills and a positive work attitude.
The candidate's technical skills align well with an entry-level Software Engineer role focused on Python, full-stack development, and potentially ML/NLP applications.

Skill Analysis

Full Stack Python Development

★★★★★

100%

The candidate achieved a perfect score (100%) on the 'Application Developer — Experience Full Stack (Python)' test, indicating exceptional proficiency and a comprehensive understanding of the evaluated skills.

Python ProgrammingApplication DevelopmentWeb Development (Python)Backend DevelopmentAPI DesignProblem SolvingCoding LogicTechnical AccuracyPractical Implementation

Strengths

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 86% suggests a strong cultural fit, indicating the candidate possesses positive work attitudes, effective stress handling, and a propensity for team collaboration. These attributes align well with environments valuing teamwork and adaptability.

Soft Skills & Operational Fit

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Key Strengths

Exceptional performance in Full Stack Python development, demonstrating strong technical aptitude.
Solid academic foundation in Computer Science Engineering with a commendable CGPA (8.51/10).
Relevant certifications in AWS Cloud and Google AI-ML, indicating foundational cloud and machine learning knowledge.
Practical experience with Machine Learning and Natural Language Processing through academic projects.
Good communication and psychometric scores suggest strong foundational soft skills and a positive work attitude.
The candidate's technical skills align well with an entry-level Software Engineer role focused on Python, full-stack development, and potentially ML/NLP applications.

Skill Analysis

Full Stack Python Development

★★★★★

100%

Python ProgrammingApplication DevelopmentWeb Development (Python)Backend DevelopmentAPI DesignProblem SolvingCoding LogicTechnical AccuracyPractical Implementation

Strengths

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit