Entry-level AI Engineer with Python and Machine Learning skills
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science graduate with hands-on project experience in Python, Data Analysis, and Machine Learning. Looking to apply programming and analytical skills in an entry-level technology role and gain practical experience in software and data-driven development.
IIIT-Bangalore
Executive Diploma · Data Science and AI
August 1, 2025 – June 30, 2026
Vasavi College of Engineering
B.E. · Computer Science
August 1, 2018 – June 30, 2022
Narayana Junior College
Intermediate
June 1, 2015 – May 31, 2017
Waste Segregation using CNN
June 25, 2026 – Present
Built a CNN-based waste classification system achieving high accuracy in categorizing waste into 7 classes. Preprocessed and trained on a dataset of multi-class waste images, improving classification reliability. Reduced manual waste sorting effort by automation segregation using AI
View ProjectCredit Card Fraud Detection using ML
June 25, 2026 – Present
Built a Python-based fraud detection system with Pandas and Scikit-learn on 1M+ transactions, using SMOTE for class imbalance, Stratified K-Fold cross-validation, and Logistic Regression, Random Forest, and Gradient Boosting models for fraud classification. Built a Gradient Boosting Classifier model achieving a recall of 82% and accuracy of 95%
View ProjectAI Data Analyst Agent(LLM powered System)
June 25, 2026 – Present
Developed an LLM-powered data analyst agent using Python and Pandas to convert natural language into executable code for automated analysis and insights, with a model-agnostic architecture supporting local and API-based LLMs for scalable deployment. Implemented prompt engineering, validation, error handling, and retry mechanisms for reliable execution; currently enhancing with Streamlit-based UI and data visualization.
View ProjectCultural Fit Analysis
The candidate's projects are primarily academic, focusing on core AI/ML applications. This aligns well with a role requiring strong technical fundamentals in AI. The diversity of projects (fraud detection, image classification, LLM agent) shows a broad interest within AI. However, the lack of professional experience or collaborative projects makes it challenging to fully assess cultural fit in a team-oriented, fast-paced environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex problems and a structured approach to development (e.g., implementing validation, error handling, retry mechanisms). The academic nature of projects suggests a learning-oriented mindset. However, without professional experience, it's difficult to assess operational fit, teamwork, or stress handling capabilities.