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AI Engineer with less than a year in Machine Learning and Computer Vision
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated and results-driven individual with a solid academic background in Computer Science and hands-on experience in Data Analytics and AI/ML projects. Developed Random Forest models for healthcare risk factor identification and implemented a Driver Drowsiness Detection system using CNN. Proficient in Python, SQL, and web development technologies, eager to apply problem-solving and communication skills to a dynamic engineering role.
Bharath Institute of Higher Education and Research
BS in Computer Science · Computer Science
August 1, 2020 – June 30, 2024
Narayana Junior College
Board of Secondary Education
August 1, 2018 – June 30, 2020
MJP AP BC WR BOYS School
School of Secondary Education
June 1, 2017 – May 31, 2018
Hybrid Heart Care
February 1, 2024 – May 1, 2024
Built a Random Forest - based model to analyze 1000 plus patient records and identity important health risk factors. Advanced healthcare technology by improving heart diagnosis capabilities, achieving a 30% increase in diagnostic accuracy through the development of an ensemble prediction system.
Driver Drowsiness Detection using CNN
August 1, 2023 – November 1, 2023
Developed a Driver drowsiness detection system using computer vision models to monitor fatigue levels and improve safety across 500 plus vehicles. Analyze driving patterns to identify key accident risk factors and implement solutions to reduce unsafe situations on the road.
Data Analytics Internship completion certificate
IBM Skill build in collaboration with All India Council for Technical Education (AICTE) and Edu net Foundation.
February 1, 2023 – Present
Python certificate
Python Life Certification Program
June 1, 2022 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate an interest in applying technology to societal challenges (healthcare, safety), which aligns with a problem-solving and impact-driven culture. Participation in coding contests and sports achievements suggests a competitive and team-oriented spirit. However, with limited professional experience, the breadth of skills and project diversity is still developing, which might require mentorship in a fast-paced industry environment.
Soft Skills & Operational Fit
The candidate lists problem-solving, teamwork, communication, and presentation as soft skills. While these are valuable, there is no direct evidence from the provided data (e.g., completed psychometric tests or interview feedback) to objectively assess their proficiency in these areas or their operational fit within a team.