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Data Analyst with less than a year in ETL & Power BI
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Assessing your cultural and operational fit
Highly motivated Computer Science and Engineering student specializing in Cybersecurity, with a strong foundation in Data Analytics, AI, and Machine Learning. Possesses hands-on experience in building ETL pipelines, developing interactive dashboards, and enhancing AI-powered solutions. Eager to apply technical skills and problem-solving abilities to impactful roles in data analysis and emerging technologies.
Albertian Institute of Science and Technology
Bachelor of Technology · Computer Science and Engineering (Honours in Cybersecurity)
August 1, 2022 – June 30, 2026
Bluestock Fintech
Data Analyst Intern
June 1, 2026 – Present
Kerala, India
Cochin Shipyard Limited
LLM-Based Chatbot Intern
August 1, 2025 – September 1, 2025
Kerala, India
Docker Vision
Computer Vision & Deep Learning Intern
August 1, 2025 – November 1, 2025
Kerala, India
Mutual Fund Analytics Platform
June 1, 2026 – Present
Designed ETL pipelines using Python and Pandas to process 87K+ mutual fund records from APIs and structured datasets. Engineered ETL workflows and API connections to gather, confirm, and restructure financial data from over ten distinct sources and live mutual fund streams, maintaining critical data integrity. Performed fund performance and risk analysis using metrics such as CAGR, Sharpe Ratio, Alpha, Beta.
CubelQ-Robotic Rubik's Cube Solver
June 1, 2026 – Present
Enhanced a robotic system to solve a Rubik's Cube using OpenCV and machine learning (HSV + KNN) for color detection. Applied Kociemba algorithm to generate solutions in under 20 moves on average. Developed a hybrid architecture using ESP32 for motor control and a computer for image processing and ML tasks.
LLM-Based Document Chatbot
June 1, 2026 – Present
Built an LLM-powered chatbot capable of handling 100+ document-based queries through automated response generation. Executed context-aware retrieval and response generation for accurate and relevant answers.
Bookit- Movie Ticket Booking System (Full Stack)
June 1, 2026 – Present
Engineered a full-stack movie ticket booking platform using Flask, MySQL, HTML, CSS, and JavaScript, enabling secure user authentication and theatre-based ticket reservations. Implemented dynamic seat allocation, MySQL-backed transaction handling, and QR-code ticket generation to streamline the booking process and improve user experience.
Front End Web Development
IBM Skills Build
June 1, 2026 – Present
Cryptography and Network Security
NPTEL
June 1, 2026 – Present
Data Science for Engineers
NPTEL
June 1, 2026 – Present
Ethical Hacking
NPTEL
June 1, 2026 – Present
Computer Vision and Deep Learning
Docker Vision
June 1, 2026 – Present
Introduction to Generative AI
Google Cloud
June 1, 2026 – Present
Cultural Fit Analysis
The candidate demonstrates a broad range of interests and skills, from data analytics and machine learning to full-stack development and cybersecurity. This diversity suggests adaptability and a willingness to explore different technical domains. Participation in community service and developer clubs indicates a proactive and collaborative attitude. The target role of 'Data Analyst' aligns well with the candidate's recent internship and project experience in data processing, analysis, and visualization. The breadth of skills and project types suggests a good cultural fit for an organization that values continuous learning and cross-functional exposure.
Soft Skills & Operational Fit
The candidate's involvement in team leadership roles (National Service Scheme) and active participation in Google Developer Student Clubs suggest good collaboration and leadership potential. The description of refining chatbot capabilities through rigorous testing and collaboration indicates an ability to work effectively in a team and iterate on solutions. The psychometric test score is low, which might indicate potential challenges in logical reasoning, work attitude, stress handling, or team collaboration, requiring further investigation.