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Data Science Intern with less than a year in Data Analysis, Machine Learning ,Generative AI& Power BI
Results-driven Generative AI Engineer with hands-on expertise in LLM integration, Prompt Engineering, and Retrieval-Augmented Generation (RAG) pipelines. Proficient in Python and API development, with practical experience building AI-powered applica- tions, chatbots, and intelligent automation workflows using LangChain, vector databases, and cloud-ready architectures. Adept at designing end-to-end AI solutions from data ingestion through deployment, with strong problem-solving, analytical thinking, and cross-functional collaboration skills.
St. Joseph'S College Of Engineering And Technology
B.Tech · Computer Science and Engineering
November 21, 2021 – May 29, 2025
Luminar Technolab
Data Science
July 15, 2025 – March 30, 2026
Cochin, Kerala, India
AI Text Summarizer using Generative AI
April 14, 2026 – April 15, 2026
• Architected and deployed a production-grade AI-powered application leveraging LLMs for real-time document summarization via a Streamlit front-end, enabling end-to-end LLM-based solutions for diverse document types. • Designed and iterated on advanced prompt engineering strategies, maximizing summarization quality, factual consistency, and relevance across varied inputs. • Profiled and optimized the AI inference pipeline, reducing latency and ensuring reliable application behavior under varied conditions.
Cyber Attack Analytics and Threat Intelligence Dashboard
March 27, 2026 – March 29, 2026
Developed an interactive Power BI dashboard to analyze cyberattack trends, financial losses, affected users, and security vulnerabilities across countries and industries, enabling data-driven decision-making. Performed data cleaning, transformation, and exploratory data analysis using Power BI, DAX to identify attack patterns, generate KPI reports, and visualize key cybersecurity insights through interactive dashboards.
Blinkit Sales and Customer Analysis using Python
February 1, 2026 – February 1, 2026
Conducted data cleaning, transformation, and exploratory data analysis on Blinkit sales data using Python, Pandas, and NumPy to identify sales trends, customer purchasing behavior, and product performance across different outlet types and locations. Developed insightful visualizations and analytical reports using Matplotlib and Seaborn to evaluate sales patterns, identify high-performing product categories, and support data-driven business decision-making.
Data Science and Python
NACTET (Accredited by IAO)
June 1, 2026 – Present
The Joy of Computing Using Python
NPTEL
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a diverse interest in AI applications, from cybersecurity analytics to sales analysis and generative AI summarization. This breadth of interest, combined with experience in both traditional ML and cutting-edge Generative AI, suggests adaptability and a willingness to explore different problem domains. The focus on end-to-end solutions and deployment indicates a practical, delivery-oriented mindset, which is generally a good cultural fit for engineering roles. The candidate is still pursuing their bachelor's degree, which might indicate a strong learning curve and openness to new challenges.
Soft Skills & Operational Fit
The candidate's resume highlights problem-solving, analytical thinking, communication, team collaboration, and adaptability as soft skills. The project descriptions demonstrate an ability to work on end-to-end solutions and optimize performance, indicating a results-driven approach. The internship experience suggests an ability to work within a structured environment and contribute to multiple AI projects.