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Data Science with 1+ years in Machine Learning and Deep Learning.
Recent BCA graduate and Data Science Intern with hands-on experience in Machine Learning, Deep Learning, and Generative AI. Proficient in Python, SQL, Power BI and Excel, with strong skills in data cleaning, exploratory data analysis, and predictive modeling. Built regression, classification, and clustering models using ML and deep learning techniques. Experienced with RAG pipelines, LLM integration using embeddings and vector similarity search, and AWS cloud services. Passionate about building data-driven solutions that solve real-world problems
University of Calicut
Bachelor in Computer Application · Computer Application
August 1, 2022 – June 30, 2025
NES Arts and Science College
Bachelor in Computer Application · Computer Application
August 1, 2022 – June 30, 2025
Luminar Technolab
Data Science Intern
January 1, 2025 – June 30, 2026
Cochin, Kerala, India
Air Quality Prediction System
January 1, 2025 – June 30, 2026
Built a machine learning model to predict air quality using Python and Scikit-learn. Performed data cleaning, feature scaling, and model evaluation. Deployed predictions using a Streamlit-based frontend.
Resume Scoring System
January 1, 2025 – June 30, 2026
Built an OCR-based resume scoring system to extract text and evaluate content relevance. Used Tesseract for accurate text extraction from documents. Developed scoring logic in Python to assess resume quality.
Data Science - Python
NACTET
January 1, 2026 – Present
Introduction to Data Analytics
Unknown
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic background and internship focus align well with a Data Science role, demonstrating a clear interest and foundational skill set. The projects, while academic, show initiative in applying learned concepts to practical problems. The breadth of skills covers various aspects of data science, from data manipulation to model deployment and visualization. However, the experience level is very junior, which might require significant mentorship in a senior team environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on defined tasks and deploy solutions. The internship experience suggests an understanding of structured data analysis and model development workflows. However, without specific behavioral assessment data, it is difficult to fully assess soft skills like teamwork, problem-solving under pressure, or communication beyond technical descriptions.