
AI Engineer with less than a year in NLP & 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
Aspiring AI Engineer with hands-on experience building and deploying intelligent systems - including NLP pipelines and machine learning models using Python, Scikit-learn, and deep learning frameworks. Completed a comprehensive Data Science course covering supervised/unsupervised learning, NLP, model evaluation, and deployment.
Dayananda Sagar College of Arts, Science and Commerce
Master of Computer Applications (MCA)
August 1, 2022 – June 30, 2025
Diamond Independent Pu College, Bhalki
PUC
June 1, 2017 – May 31, 2019
Shantivardhak Junior college, Kamalnagar
SSLC
June 1, 2015 – May 31, 2017
Besant Technologies
Data Science Intern
January 1, 2026 – May 1, 2026
India
DOTCH Endeavours Pvt. Ltd.
AI/Python Intern
July 1, 2025 – October 1, 2025
India
AI Resume Ranker - Automated Shortlisting Tool
May 1, 2026 – May 1, 2026
Architected an end-to-end AI document-intelligence pipeline to parse PDF resumes using PyPDF2, extracting structured candidate attributes (skills, experience, education), and applying TF-IDF-based semantic similarity scoring against job descriptions to power intelligent candidate-job matching. Automated end-to-end candidate ranking by relevance score, cutting manual shortlisting effort and demonstrating a deployable AI/NLP application - text preprocessing, vectorization, and similarity scoring - for real-world HR automation.
AI-Based Diabetes Risk Prediction System
November 1, 2025 – November 1, 2025
Built a predictive AI model on the Pima Indians Diabetes dataset; engineered the data pipeline by handling missing values, outliers, and feature standardization. Performed exploratory data analysis (EDA) to identify key health indicators influencing diabetes risk. Trained and compared classification models (Logistic Regression, Random Forest), deploying the best-performing model at 78% accuracy for real-time risk prediction.
Certified in Data Science
Besant Technologies
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects and internships demonstrate a strong interest in applying AI to real-world problems (HR automation, healthcare prediction). The focus on end-to-end solutions and practical deployment aligns with a results-oriented culture. The diversity of projects, though limited to two, shows an ability to adapt AI techniques to different domains. However, the experience is primarily academic and internship-based, which might require mentorship to fully integrate into a fast-paced, senior-level engineering team.
Soft Skills & Operational Fit
The candidate's resume highlights 'Analytical Thinking', 'Problem Solving', 'Communication Skills', 'Attention to Detail', and 'Business Understanding' as key competencies. These indicate a foundational understanding of soft skills crucial for operational fit in a technical role. However, without direct assessment, the depth of these skills cannot be fully validated.