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Data Analyst with less than a year in Data Analytics & EDA
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MSc Data Analytics and Computational Science professional with a strong foundation in Mathematics, Statistics, and Programming. Currently working as a Data Analyst Intern, with hands-on experience in data extraction, cleaning, transformation, and exploratory data analysis (EDA) on real-world datasets. Skilled in statistical testing, regression, and dashboard development. Proficient in Python, SQL, R, SPSS, Power BI, Looker Studio, and Streamlit, with practical experience using BigQuery for analytical reporting. Interested in NLP, data-driven decision-making, and applying analytics to education and workforce development.
Kerala University of Digital Science, Innovation and Technology (DUK)
MSc · Data Analytics and Computational Science
August 1, 2024 – May 1, 2026
St. Aloysius College
BSc · Mathematics and Statistics
September 1, 2021 – May 1, 2024
GNX Digital Solutions
Data Analyst Intern
January 1, 2026 – Present
Thiruvananthapuram, Kerala, India
AI-Based Wildlife Detection and Alert System
January 1, 2026 – December 31, 2026
Developed an AI-based real-time wildlife detection and road safety monitoring system using YOLOv8. Implemented live animal detection with bounding boxes, confidence scores, and automatic warning alerts. Used OpenCV for real-time video capture and image processing with webcam surveillance. Trained the model using wildlife datasets in Kaggle GPU environment with PyTorch framework. Achieved around 93% detection accuracy for real-time wildlife monitoring and alert generation. Proposed deployment of AI surveillance cameras 100–200 meters before wildlife crossing regions for accident prevention.
AI-Based Medical Meal Planner for Chronic Disease Patients
January 1, 2025 – December 31, 2025
Designed and developed a personalized AI-driven meal planning system for chronic disease patients. Built a custom Indian food dataset with region-based and meal-type categorization. Implemented a rule-based medical engine to ensure safe dietary recommendations. Developed a user-friendly Streamlit web application. Automated 7-day personalized diet plan generation with non-repetitive logic. Integrated PDF export functionality for structured diet reports. Focused on cultural adaptation and medical explainability.
Job Posting Classification
January 1, 2025 – December 31, 2025
Built an NLP-based job classification system that scrapes and clusters job listings from Karkidi.com using unsupervised ML. Implemented data scraping, model saving, and automated preprocessing pipelines to improve reuse and maintainability. Developed an interactive Streamlit web app for exploring and visualizing job groups dynamically. Implemented data scraping, model saving, and automated preprocessing pipelines for reusability.
Google Cloud Career Launchpad: Data Analytics Track
Google Cloud
June 1, 2026 – Present
Google Cloud Foundations – Fundamentals, Infrastructure, Networking & Data-ML-AI
Google Cloud
June 1, 2026 – Present
Prepare Data for ML APIs - Google Cloud
Google Cloud
June 1, 2026 – Present
Neo4j Certifications: Fundamentals, Cypher
Neo4j
June 1, 2026 – Present
Microsoft Excel – Beginner to Advanced
Unknown
June 1, 2026 – Present
Introduction to Git and GitHub – Coursera
Coursera
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects are diverse, ranging from NLP-based classification to AI-driven medical planning and wildlife detection, indicating a broad interest in applying data analytics to various domains. The current Data Analyst Intern role aligns well with the target role, demonstrating practical application of skills. The certifications, particularly in Google Cloud and Neo4j, show a proactive approach to learning and skill development. The candidate's involvement in a research publication also highlights a commitment to advanced technical work. The breadth of tools and technologies used (Python, SQL, R, Power BI, Looker Studio, Streamlit, BigQuery, YOLOv8, PyTorch) suggests adaptability and a willingness to explore different solutions.
Soft Skills & Operational Fit
The candidate demonstrates problem-solving skills through project work and an ability to collaborate, as noted in the internship description. The academic projects show initiative and a structured approach to development, including automated pipelines and user-friendly interfaces. The focus on cultural adaptation and medical explainability in the meal planner project indicates a thoughtful approach to real-world applications. However, without psychometric or English test results, a comprehensive assessment of work attitude, stress handling, and team collaboration is not possible.