
AI Engineer with less than a year in Data Science, Python, Java, C, and C++.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Dedicated and hardworking graduate seeking an entry-level role to apply my technical and interpersonal skills, while learning from experienced professionals and contributing to a company's success.
Arifa Institute Of Technology
BTECH · Artificial Intelligence and Data Science
August 1, 2021 – June 30, 2025
Bharathi Matric Hr Sec School
Class10
N/A – May 31, 2019
Bharathi Matric Hr Sec School
Class+2
N/A – May 31, 2021
One month industrial training in infotech
infotech, India
June 1, 2026 – Present
Two weeks implant training in micromax systems pvt ltd
micromax systems pvt ltd, Trichy
June 1, 2026 – Present
One month implant training in infinity technology
infinity technology, Trichy
June 1, 2026 – Present
Three days workshop on raspberry-pi
Unknown
June 1, 2026 – Present
One week workshop on IOT
Unknown
June 1, 2026 – Present
Ten days implant training in BSNL
BSNL, TRICHY
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic background in AI and Data Science, coupled with participation in various workshops and trainings, suggests a strong interest in technology and continuous learning. The mention of participating in competitions and achieving awards indicates a drive for excellence and engagement. The 'Trash boat using AI' project, while basic, shows initiative in applying learned concepts. These aspects suggest a good cultural fit for a dynamic, learning-oriented technical environment, especially for an entry-level position.
Soft Skills & Operational Fit
The candidate expresses willingness to learn, creative nature, adaptability, and good teamwork skills. These are positive indicators for operational fit, especially in an entry-level role where continuous learning and collaboration are crucial. However, without direct work experience, these are self-reported and not yet validated in a professional setting.