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Machine Learning Engineer with less than a year in Python, Deep Learning, and AI projects.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI and Machine Learning graduate with hands-on experience in developing academic and personal projects using Python, machine learning, and data analysis. Seeking an entry-level role to apply technical knowledge, learn from industry professionals, and contribute to impactful AI-driven solutions.
SRI SHAKTHI INSTITUTE OF ENGINEERING AND TECHNOLOGY
B.Tech · Artificial Intelligence and Machine Learning
August 1, 2021 – June 30, 2025
RAVILLA KRA VIDHYASHRAM MATRIC. HR. SEC. SCHOOL
SSLC
June 1, 2011 – May 31, 2021
RAVILLA KRA VIDHYASHRAM MATRIC. HR. SEC. SCHOOL
HSC
June 1, 2011 – May 31, 2021
FACE RECOGNITION USING MACHINE LEARNING
June 1, 2026 – Present
A deep learning model can be trained to recognize faces by being fed a large dataset of images of faces.
PLANT LEAVES DISEASE DETECTION
June 1, 2026 – Present
Can detect plant disease in the very initial state. This provides a clear benefit in the monitoring of large fields. The paper was published on PLANT LEAVES DISEASE DETECTION.
MENTAL HEALTH TRACKER
June 1, 2026 – Present
An application for predicting a person's mental health based on score board and chatbot using LSTM for further consulting based on score calculated
HTML Workshop
Geeks for Geeks
June 1, 2026 – Present
Python for Machine Learning
Great Learning
June 1, 2026 – Present
MATLAB Onramp
MathWorks
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show a focus on practical applications of AI/ML, which aligns with an innovative and problem-solving culture. The diversity of projects (face recognition, disease detection, mental health tracker) indicates a broad interest within the ML domain. However, the lack of professional experience makes it challenging to fully assess cultural fit beyond academic alignment.
Soft Skills & Operational Fit
The candidate's profile indicates a proactive learning attitude through certifications and academic projects. The description of projects suggests an ability to apply theoretical knowledge to practical problems. However, without professional experience or completed psychometric tests, it is difficult to assess stress handling, team collaboration, or other operational fit aspects.