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Machine Learning Engineer with 2+ years in Data Preprocessing & Model Deployment
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
To obtain a challenging position as a Machine Learning Engineer where I can apply my expertise in data preprocessing, model building, and AI-driven solution deployment to solve real-world business problems, collaborate with cross-functional teams, and contribute to innovative advancements in Artificial Intelligence.
CMS College of Science and Commerce
Master of Computer Applications (MCA) · Computer Applications
N/A – June 30, 2024
Valluvar College of Science and Management
Bachelor of Computer Applications (BCA) · Computer Applications
N/A – June 30, 2022
SIMBA PROJECTS
Machine Learning Engineer
May 1, 2024 – Present
India
Smart AI Healthcare Assistant for Early Disease Prediction
June 1, 2026 – June 1, 2026
Developed an AI-powered system to predict diabetes, heart, and liver diseases using medical parameters. Integrated multiple ML models into a Flask web app with interactive charts and real-time voice feedback. Built a database-backed patient tracking dashboard for visual analytics. Showcased strong skills in predictive modeling, data analysis, and web deployment.
Patient Disease Prediction and Risk Assessment System
June 1, 2026 – June 1, 2026
Developed a predictive analytics system to assess disease risk from patient health parameters such as age, glucose, BMI, and cholesterol. Implemented and compared classification models like Random Forest, Logistic Regression, and XGBoost for accuracy and precision. Built a Flask-based web app for doctors to upload patient data and view instant risk scores with visual analytics. Integrated pyttsx3-based voice feedback for clear result interpretation.
Python for data science
IBM
June 1, 2026 – Present
Statistics for data science
simplilearn
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a focus on healthcare applications of AI, indicating an interest in impactful problem-solving. The listed soft skills align with collaborative work environments. The breadth of skills is focused on core ML/DL and Python ecosystem, which is suitable for a Machine Learning Engineer role. However, the limited professional experience (starting May 2024) and academic nature of projects suggest a need for more exposure to diverse industry practices and larger-scale systems for a senior role.
Soft Skills & Operational Fit
The candidate lists 'Team Collaboration', 'Communications', 'Analytical Thinking', and 'Problem Solving' as soft skills. The project descriptions indicate an ability to work on complex problems and deploy solutions, suggesting good analytical and problem-solving capabilities. However, without direct assessment, the depth of these soft skills and their operational fit in a senior role cannot be fully determined.