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Data Science with less than a year in Machine Learning & 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
Computer Science graduate with hands-on experience in Machine Learning and Data Analytics. Skilled in Python and SQL with practical experience in building predictive models and analyzing data to generate useful insights. Completed AI/ML internships with relevant certifications. Looking to apply technical expertise and analytical thinking to solve real-world problems and add value to a dynamic team.
Sree Narayana Guru College of Engineering and Technology,Kerala
B.Tech · Computer Science & Engineering
August 1, 2021 – June 30, 2025
Luminar Technolab
Data Science Intern
June 1, 2025 – February 1, 2026
Cochin, Kerala, India
Recyclable Waste Classification Using Deep Learning
June 23, 2026 – Present
Developed a YOLO-based real-time object detection model for recyclable waste classification. Enhanced detection accuracy through image preprocessing, data augmentation, and model optimization.
Traffic Accident Severity Prediction System
June 23, 2026 – Present
Developed a Machine Learning model to predict traffic accident severity using classification algorithms. Achieved 98% accuracy with XGBoost after performing EDA and data preprocessing.
Agricultural Crop Recommendation System
June 23, 2026 – Present
Analyzed soil, climate, and environmental data to identify factors affecting crop suitability. Built a machine learning-based crop recommendation system for data-driven agricultural suggestions.
Data Science with Python
NACTET
February 1, 2026 – Present
Machine Learning for Engineers
Techmaghi
September 1, 2023 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a diverse application of data science techniques, from environmental sustainability (waste classification) to public safety (accident prediction) and agriculture. This breadth suggests an adaptable individual who can apply skills across various domains. The internship experience and certifications indicate a proactive learning attitude, which generally contributes positively to cultural fit in dynamic teams. However, the candidate's experience level is entry-level, which might require more mentorship in a senior role.
Soft Skills & Operational Fit
The candidate's resume highlights 'Collaboration & Communication in Teams' and 'Time Management & Task Prioritization' as professional skills, suggesting an awareness of operational needs. However, without direct assessment data, the actual proficiency in these areas cannot be fully determined.