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Data Science with less than a year in Machine Learning & Generative AI.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Scientist with hands-on experience in Python, machine learning, and building AI-powered applications. Skilled in creating end-to-end solutions like predictive models, Generative AI tools, and Streamlit-based web apps. Interested in applying data and AI techniques to deliver practical insights and support real-world decision-making.
LBS College of Engineering, Kasaragod
B.Tech · Computer Science
N/A – June 30, 2024
AI Variant
Data Science Intern
October 1, 2024 – April 30, 2025
India
AI Resume Matcher
October 1, 2025 – November 30, 2025
Built an AI-based system to match resumes with job descriptions using embeddings and LLM analysis. Developed a Streamlit app to provide match scores, strengths, and missing skills. Improves hiring decisions by automating and speeding up resume screening.
Bankruptcy Prevention
January 1, 2025 – April 30, 2025
Built a classification model to predict company bankruptcy risk using financial ratios. Used machine learning algorithms to identify early signs of financial instability. Supports risk management by detecting firms with higher bankruptcy likelihood.
Predicting CO Emission
October 1, 2024 – January 31, 2025
Created a regression model to predict CO emissions from vehicle and engine features. Developed a Streamlit interface for users to input data and view emission predictions. Identified key factors such as engine size and fuel type through feature analysis.
Python Certificate
Udemy
June 1, 2026 – Present
Internship Certificate
AI Variant
October 1, 2024 – Present
Data Science Certification
ExceLR
September 1, 2024 – Present
Internship Certificate
Revertech IT Solutions
December 1, 2022 – Present
Cultural Fit Analysis
The candidate's projects are diverse within the data science domain, covering classification, regression, and generative AI applications. The internship and personal projects align well with a Data Science role, demonstrating initiative and practical application of skills. However, the overall experience level is entry-level, which might require significant mentorship in a senior role. The breadth of skills is good for an entry-level candidate, but depth in specific areas is yet to be proven.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on end-to-end solutions, from data processing to model deployment and visualization. The remote internship experience suggests adaptability. However, without direct interview data, specific soft skills like teamwork, problem-solving under pressure, or communication style cannot be fully assessed.