AI Engineer with less than a year in Data Science & Web Development.
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 promise to work tirelessly and with all of my might to advance the company and constantly strive to be a better person and also become the better version of myself every day. Being a part of a well-equipped team and organization where I can apply my skills and significantly boost the performance of the business.
Sri Chaitanya Junior College
Intermediate
N/A – May 31, 2020
Kakinada Institute Of Engineering And Technology
B.Tech CSE · Artificial Intelligence and Data Science
N/A – June 30, 2024
ZPPH School
SSC
N/A – May 31, 2018
Wipro
Assosciate
October 1, 2025 – Present
India
Resume Builder
June 27, 2026 – Present
Technologies used: CSS, HTML, JS
Special Coding Batch Student profile Dashboard using MERN Stack
June 27, 2026 – Present
Role & Team Size: Team Member & 5. Technologies used: Mongo DB and node.js for Backend, React.js for Frontend, Express.js
IBM-issued certification in Python programming
IBM
June 1, 2026 – Present
Infosys Springboard Certification in Data Science
Infosys Springboard
June 1, 2026 – Present
IBM certification in Data Analysis with Python
IBM
June 1, 2026 – Present
Cognizant Certification on Agile Methodology Virtual Experince
Cognizant
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and certifications show a foundational interest in AI/Data Science and web development. The 'Associate' role at Wipro is listed with a future start date and no detailed responsibilities, making it difficult to assess current professional cultural fit. The academic projects are team-based, indicating some collaboration experience. The overall breadth of skills is limited, and project diversity is low, which might impact cultural fit for a senior AI Engineer role requiring diverse problem-solving and domain experience.
Soft Skills & Operational Fit
The candidate highlights enthusiasm for learning, ability to work under stress, self-motivation, and being a quick learner. These are positive indicators for operational fit, especially in a dynamic AI engineering role. However, practical application of these soft skills in a professional setting is limited due to minimal work experience.