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AI Engineer with less than a year in Machine Learning and Data Analytics.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring Data Science and AI professional with a strong foundation in machine learning, deep learning, and data analytics. Published researcher with Springer Nature; hands-on experience building multimodal AI systems, predictive models, and data-driven applications. Passionate about leveraging AI to solve real-world problems in healthcare and business domains.
Dr. Mahalingam College of Engineering and Technology
Bachelor of Technology · Artificial Intelligence and Data Science
August 1, 2022 – June 30, 2026
Gandhi Matric Higher Secondary School
HSC
N/A – May 31, 2022
Early detection of Diabetic Retinopathy Using Machine Learning
January 1, 2025 – January 1, 2026
Built a multimodal AI system combining fundus retinal image analysis (ShuffleNet CNN) with structured clinical data (XGBoost) for automated DR detection and multi-class severity grading. Integrated Generative AI to extract insights from unstructured physician notes and incorporated temporal health indicators (HbA1c, blood glucose, diabetes duration) to model disease progression.
Retail Sales Forecasting & Inventory Optimization
January 1, 2024 – January 1, 2025
Developed a predictive sales forecasting model using historical data, trend analysis, and SQL-based aggregation; achieved measurable improvements in forecast accuracy. Designed Tableau dashboards to visualize inventory insights, enabling data-driven decisions that reduced stockouts and overstock situations.
C Programming
Coursera
June 1, 2026 – Present
R Programming
Swayam
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong alignment with AI/Data Science roles, particularly in healthcare and retail. The breadth of skills listed (ML/DL, data analytics, visualization) suggests adaptability. However, the lack of professional experience and limited project diversity (only two academic projects) might indicate a need for more exposure to diverse team environments and industry practices. The target role of 'AI Engineer' is well-aligned with the candidate's stated interests and technical skills.
Soft Skills & Operational Fit
The candidate's resume highlights a passion for leveraging AI to solve real-world problems, particularly in healthcare and business, suggesting a goal-oriented and problem-solving mindset. The publication record indicates diligence and a capacity for structured research. However, without completed psychometric or English tests, it is difficult to assess communication clarity, work attitude, stress handling, or team collaboration skills.