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AI Engineer with less than a year in Python, Deep Learning & NLP.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Enthusiastic BCA graduate with hands-on training in Artificial Intelligence, Machine Learning, and Python programming. Passionate about building intelligent applications and solving real-world problems using data and AI. Eager to leverage technical skills and innovative thinking to contribute to AI and ML projects and grow in a dynamic professional environment.
Mahatma Gandhi University
Bachelor of Computer Applications (BCA) · Computer Applications
N/A – June 30, 2023
House Price Prediction
June 29, 2026 – Present
Built a machine learning model to predict house prices. Performed data cleaning and exploratory data analysis (EDA). Used regression algorithms to predict prices and improve accuracy.
Email Spam Detection
June 29, 2026 – Present
Developed a machine learning model to classify emails as spam or not spam. Processed and analyzed email text data. Trained and tested the model using classification algorithms.
Data Analysis with Python
June 29, 2026 – Present
Analyzed and cleaned datasets using Python. Performed exploratory data analysis to identify trends and patterns. Created visualizations and generated insights from the data.
Artificial Intelligence & Machine Learning: Model Training and LLM Integrations
Unknown
June 1, 2026 – Present
Python Programming
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show a clear interest in AI/ML, aligning with the target role. The listed hobbies also indicate a passion for AI and emerging technologies. However, the lack of professional experience or diverse project types beyond basic academic exercises limits the assessment of broader cultural fit and adaptability in a professional team setting.
Soft Skills & Operational Fit
The candidate lists strong problem-solving skills, quick learning, analytical thinking, and being a good communicator and team player. However, these are self-proclaimed and not validated by assessment data or professional experience. The academic project descriptions are brief, limiting insight into operational fit.