
Data Science with less than a year in AI/ML student specializing in Data Science and AI/ML with hand
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
M.Sc. IT student specializing in AI/ML with hands-on experience in Python and machine learning fundamentals. Built projects in resume analysis and bias detection. Seeking an internship in Data Science or AI/ML to apply technical skills, develop coding skills and gain real-world experience.
Gujarat University
Integrated M.Sc. · AI/ML
August 1, 2023 – June 30, 2028
Delhi Public School
Class XII
N/A – May 31, 2022
The H.B. Kapadia New High School
Class X
N/A – May 31, 2020
Resume Analyzer using NLP
June 24, 2026 – Present
Developed an NLP-based resume analysis system to match resumes with job descriptions. Performed text preprocessing and feature extraction using TF-IDF vectorization. Applied cosine similarity for resume-job matching. Identified missing skills and generated improvement suggestions. Deployed application using Streamlit.
View ProjectBias Detection in AI-Based Hiring
June 24, 2026 – Present
Built a Logistic Regression model for classification of hiring outcomes. Used a Kaggle dataset and performed data cleaning and preprocessing using Pandas. Conducted EDA to identify patterns and bias. Evaluated model using train-test split and performance metrics. Analyzed fairness vs accuracy trade-offs and tested bias reduction by blind evaluation.
View ProjectComplete Data Science Bootcamp
Udemy
January 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate an interest in practical applications of AI/ML, aligning with a data science role. The diversity of projects (NLP for resume matching, bias detection in hiring) shows a breadth of interest within the field. The conference presentation on ethical AI indicates a proactive engagement with the broader implications of the technology, which could be a positive cultural fit for organizations valuing responsible AI development. However, the candidate's experience level is entry-level, which might require significant mentorship and integration into a professional team environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on structured problems and deploy solutions. The focus on ethical AI in one project suggests a thoughtful approach to problem-solving. However, without specific psychometric or English test results, it's difficult to assess communication clarity, logical reasoning, work attitude, stress handling, or team collaboration skills.