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ML Engineer with 2+ years in Data Analytics & Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
MCA graduate with knowledge of Python, SQL, Excel, HTML, CSS, and JavaScript. Strong analytical, problem-solving, and communication skills with a passion for learning new technologies. Seeking an entry-level IT position to apply my technical skills, contribute to organizational success, and grow professionally.
Visvesvaraya Institute of Advanced Technology.
Master of Computer Applications · Computer Applications
August 1, 2024 – June 30, 2026
Govt, Science College
BSc · Mathematics and Computer Science
August 1, 2021 – June 30, 2024
Techxonic Innovation
Machine Learning Intern
November 1, 2024 – Present
India
Tomato Leaf Disease Detection System
June 22, 2026 – Present
Developed an AI-based application that detects tomato leaf diseases using Deep Learning and CNN models. Implemented image classification and real-time disease prediction through a user-friendly web interface. Improved disease identification accuracy through image preprocessing and model optimization techniques.
Smart Expense Tracker
June 22, 2026 – Present
Developed a web-based expense tracking application that enables users to manage expenses, upload bank statements, and analyze spending patterns through interactive dashboards and reports. Implemented secure user authentication and automated transaction management using Django and SQLite.
Machine Learning
Techxonic Innovation
June 1, 2026 – Present
SQL
Skill Course
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internship show a proactive approach to applying learned concepts. The 'Tomato Leaf Disease Detection System' and 'Employee Attrition Prediction' project align well with practical applications of ML, indicating an interest in solving real-world problems. The pursuit of a Master's degree and certifications demonstrates a commitment to continuous learning, which is a positive cultural indicator. The candidate's experience level (internship, academic projects) suggests they are at an early career stage, which aligns with an entry-level ML Engineer role where growth and learning are prioritized.
Soft Skills & Operational Fit
The candidate's profile summary mentions strong analytical, problem-solving, and communication skills, along with a passion for learning. These traits suggest a good operational fit for a dynamic ML engineering role, especially given their academic background and internship experience. However, without specific psychometric test results, these are self-reported and require validation.