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Entry-level Python Engineer with Machine Learning and Data Analysis skills
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated and detail-oriented IT graduate seeking an entry-level role in software development, data analysis, or machine learning. Eager to apply strong Python programming, machine learning fundamentals, and analytical problem-solving skills to build impactful solutions while continuously growing technical expertise and contributing to organizational success.
Avinashilingam Institute of Home Science
B.Sc. · Information Technology
August 1, 2023 – June 30, 2026
Bharathi Matriculation Higher Secondary School
HSC
June 1, 2022 – May 31, 2023
Bharathi Matriculation Higher Secondary School
SSLC
June 1, 2008 – May 31, 2010
APPIN TECHNOLOGY
Internship
June 25, 2025 – July 25, 2025
India
Cardiac Risk Detection Using ECG Signals & Patient Data
June 1, 2026 – Present
Developed a machine learning and deep learning system to detect cardiac abnormalities from ECG signals and patient data. Applied data preprocessing techniques on ECG datasets and implemented CNN models to classify heart conditions as normal or abnormal. Built a solution to support early diagnosis and clinical decision-making.
Introduction to OpenAI
Infosys
December 1, 2026 – Present
Software Testing
Avinashilingam University
June 1, 2026 – Present
The Generative AI Revolution
Aspire
June 1, 2026 – Present
Creative Thinking
Infosys
January 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic project on cardiac risk detection shows an interest in impactful applications of technology. The internship and certifications indicate a proactive approach to learning new technologies like AI and ML. However, the experience level is entry-level, and the project diversity is limited to one academic project. The target role is 'Python Engineer', and while Python is listed as a skill, the depth of experience is not evident. The cultural fit is moderate, leaning towards a learning-oriented environment.
Soft Skills & Operational Fit
The candidate lists analytical problem-solving, technical communication, adaptability, and attention to detail as soft skills. The psychometric test score (232/500) suggests potential areas for development in logical reasoning, work attitude, stress handling, and team collaboration, which are critical for operational fit in a senior role. The English test score (61/100) indicates room for improvement in professional communication.