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AI Engineer with less than a year in machine learning and data analysis.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Passionate and skilled graduate in AI and Data Science, with hands-on experience in machine learning and data analysis. Eager to build intelligent, user-centric solutions that solve real-world problems.
Kongu Engineering College
Bachelor of Technology · Artificial Intelligence and Data Science
January 1, 2022 – January 1, 2026
Kongu Vellalar Matriculation Higher Secondary School
HSC
January 1, 2022 – January 1, 2022
Kongu Vellalar Matriculation Higher Secondary School
SSLC
January 1, 2020 – January 1, 2020
Machine Learning-Based Sentiment Analysis
June 1, 2026 – Present
Developed a sentiment analysis model for Tamil and Tulu by training multiple ML algorithms separately and selecting the best for higher accuracy in multiclass classification.
Financial Risk Assessment & Loan Prediction
June 1, 2026 – Present
Analyzed loan data to find high-risk customers, and created interactive Power BI dashboards to help improve loan approval decisions.
View ProjectCredit Card Fraud Detection
June 1, 2026 – Present
Developed and deployed a credit card fraud detection system using machine learning to identify fraudulent transactions.
View ProjectMongodb associate developer
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate an interest in applying AI/ML to real-world problems, which aligns with an AI Engineer role. The diversity of projects (fraud detection, sentiment analysis, financial risk) shows a broad interest in different applications of data science. However, the lack of professional experience limits the assessment of cultural fit in a corporate environment.
Soft Skills & Operational Fit
The candidate's resume indicates participation in coding contests and ideathon projects, suggesting a proactive attitude and problem-solving interest. However, without completed psychometric or English tests, it's difficult to assess communication clarity, logical reasoning, work attitude, stress handling, or team collaboration skills.