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Data Science with less than a year in Python, Machine Learning, Deep Learning, and SQL.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
BCA graduate with hands-on experience in Python, SQL, Machine Learning, and Deep Learning, along with strong skills in data preprocessing, exploratory data analysis (EDA), feature engineering, and predictive modeling. Proficient in data visualization and dashboard development using Power BI, with a solid understanding of statistical analysis and data-driven decision-making. Hands-on experience working with structured datasets to extract insights and build scalable data solutions, with a strong passion for solving real-world problems through analytics.
Santhigiri College of Computer Sciences
Bachelor of Computer Application (BCA)
August 1, 2022 – June 30, 2025
Luminar Technolab
Data Science Intern
June 1, 2025 – February 1, 2026
Kalamassery, Kerala, India
AI Resume Screening & Ranking System
January 1, 2026 – January 1, 2026
Architected an AI-powered Applicant Tracking System (ATS) prototype, enhancing candidate filtering precision, by leveraging Transformer models to calculate semantic similarity. Boosted resume screening efficiency and accuracy by 25%, measured against manual baseline timelines, by implementing automated skill extraction and candidate ranking algorithms. Deployed an interactive Streamlit dashboard, enabling the real-time generation of ATS match scores for candidates, by building responsive data analysis and visualization pipelines.
Formula 1 Race Winners Analysis (1950–2025)
November 1, 2025 – November 1, 2025
Delivered an in-depth quantitative analysis of Formula 1 race data, scaling across 75 years of historical records, by utilizing Python, Pandas, Matplotlib, and Seaborn. Identified historical driver and team dominance patterns, measured by distinct race distribution benchmarks, by generating high-impact statistical reports and correlation analyses. Enhanced data interpretability for stakeholders, validated by positive trend review feedback, by developing comprehensive visual reports using advanced data visualization libraries.
Data Science - Python
Luminar Technolab
February 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate initiative and a passion for solving real-world problems through analytics, which aligns well with a data science role. The diversity of projects (NLP-based ATS and historical sports data analysis) shows a breadth of interest within data science. The internship and certification from Luminar Technolab indicate a commitment to skill development. However, the candidate's experience level is entry-level, which might require more mentorship in a senior-level team.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on structured problems, deliver quantitative analysis, and enhance data interpretability for stakeholders. The internship experience suggests a capacity for professional learning environments and basic team collaboration. However, without specific psychometric or English test scores, a deeper assessment of soft skills like logical reasoning, stress handling, and advanced communication clarity is not possible.