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Data Analyst with less than a year in Python, Machine Learning & Power BI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science and Engineering graduate with a strong passion for learning diverse programming languages and building efficient, real-world applications. Continuously improving skills in algorithms, data structures, and modern software development practices.
Government College of Engineering -Srirangam,Trichy, TN
Bachelor of Engineering · Computer Science and Engineering
August 1, 2022 – June 30, 2026
Variyar Higher Secondary School
HSC
June 1, 2020 – May 31, 2022
Variyar Higher Secondary School
SSLC
June 1, 2020 – May 31, 2022
Layercodes Technologies
Data Analytics, Digital Marketing
July 1, 2025 – Present
Villupuram, Tamil Nadu, India
Student Marks Analysis
June 1, 2026 – Present
Developed a Python program for student performance analysis, including data cleaning and subject-wise average calculation. Visualized performance trends to support academic decision-making.
Diabatic Retinopathy Detection
June 1, 2026 – Present
Developed a diabetic retinopathy detection system using Machine Learning, CNN, and XGBoost for accurate early disease detection from retinal images through preprocessing, feature extraction, and classification, improving diagnostic reliability, reducing detection errors, and supporting efficient healthcare decision-making.
Python Programming
Udemy
June 1, 2026 – Present
My SQL
Novitech
June 1, 2026 – Present
Excel & Power BI
Novitech
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show an interest in practical applications of data analysis and machine learning. The internship in data analytics aligns well with the target role. The certifications indicate a self-driven learning attitude. However, the overall experience is heavily academic, and the diversity of projects is limited to two academic examples. This suggests a good foundational fit for a data-driven culture but might require exposure to diverse business contexts and collaborative team environments typical of a senior role.
Soft Skills & Operational Fit
The candidate lists 'Time Management', 'Adaptability', 'Teamwork', and 'Problem Solving' as soft skills. The project descriptions and internship suggest an ability to work on defined tasks and learn new tools. However, without specific examples or behavioral assessments, the depth of these soft skills in a senior operational context is difficult to ascertain. The academic focus and limited professional experience suggest a need for mentorship in operational best practices.