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Data Analyst with less than a year in data analysis & business intelligence.
Data Analyst and Artificial Intelligence & Data Science graduate with hands-on experience in data analysis, business intelligence, statistical analysis, and data visualization. Experienced in analyzing large datasets, performing SQL-based data management, developing interactive Power BI dashboards, and generating actionable insights to support business decision-making. Proficient in Python, SQL, Power BI, and Excel, with strong skills in data cleaning, KPI reporting, trend analysis, and reporting automation. Demonstrated ability to translate complex data into meaningful business insights through academic projects, internships, and professional experience as a Data Analyst at Global Medilink. Actively seeking Data Analyst, BI Analyst, and Business Intelligence opportunities in the UAE.
MEA Engineering College, Perinthalmanna
Bachelor of Technology · Artificial Intelligence and Data Science
September 1, 2021 – April 1, 2025
Global Medilink
Data Analyst
June 1, 2025 – March 1, 2026
Dubai, Dubai, United Arab Emirates
Docker Vision
Computer Vision Intern
November 1, 2024 – December 1, 2024
Cochin, Kerala, India
ICFOSS
Machine Learning Intern
September 1, 2023 – September 1, 2023
Thiruvananthapuram, Kerala, India
ECommerce Sales Analytics Dashboard
May 1, 2026 – May 1, 2026
Analyzed 9,977 retail transactions using Python and Pandas to uncover sales trends, regional performance, and category profitability. Developed an interactive Power BI dashboard with KPI tracking and data visualizations to support business decision-making.
Smart Trolley System Using YOLOv8 & Barcode Scanning
February 1, 2026 – February 1, 2026
Developed an AI-powered retail automation system using YOLOv8, OpenCV, and Flask for real-time product detection and billing. Implemented computer vision and barcode recognition to automate product identification and reduce manual checkout effort. Built a Flask-based web application with live video streaming, real-time monitoring, and automated bill generation. Integrated budget tracking and CSV-based transaction management for enhanced customer experience.
Deepfake Audio Detection System Using TSSD
October 1, 2024 – March 1, 2025
Developed a Deepfake Audio Detection System using the Time-Domain Synthetic Speech Detection (TSSD) model to classify real and synthetic audio samples. Performed audio preprocessing, MFCC feature extraction, and signal processing techniques to improve feature quality and model performance. Trained and evaluated machine learning models to identify deepfake audio, achieving 97% classification accuracy on test datasets. Analyzed model performance using accuracy metrics and optimized detection capabilities to support AI-driven audio authentication and security applications.
Driver Drowsiness Detection System Using CNN
October 1, 2023 – February 1, 2024
Developed a real-time driver drowsiness detection system using OpenCV, dlib, and a CNN-based model to monitor driver alertness and enhance road safety. Performed facial landmark detection and eye-state analysis to identify signs of fatigue through eye closure and blink pattern monitoring. Implemented real-time alert mechanisms that trigger warnings when drowsiness is detected, helping reduce the risk of accidents. Integrated preventive recommendations, including break reminders and caffeine suggestions, to promote safer driving behavior and improve user safety.
Parking Space Detection System
July 1, 2023 – July 1, 2023
Built real-time parking availability detection using image processing and classification. Achieved reliable performance under different lighting conditions.
Power BI Workshop – AIDEN MEA WITH ROWS &COLUMNS
AIDEN MEA WITH ROWS &COLUMNS
January 1, 2025 – Present
Hardware in Deep Learning – AIDEN MEA WITH EDUTECNICIA PVT. LTD.
AIDEN MEA WITH EDUTECNICIA PVT. LTD.
January 1, 2024 – Present
Machine Learning with Python – AIDEN MEA WITH EDUTECNICIA PVT. LTD.
AIDEN MEA WITH EDUTECNICIA PVT. LTD.
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in AI and Data Science, aligning well with roles requiring innovation and analytical thinking. The diversity of projects, from e-commerce analytics to deepfake detection and smart trolleys, indicates a broad curiosity and willingness to tackle different challenges. The internship experiences, though short, show initiative in gaining practical exposure. The target role of Data Analyst aligns with the candidate's stated skills and experience, particularly the professional experience at Global Medilink. However, the overall experience level is junior, which might impact fit for a senior role requiring extensive industry experience and leadership.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to collaborate (e.g., 'Collaborated with teams to understand business requirements') and a results-oriented approach (e.g., 'achieving 97% classification accuracy'). The academic nature of most projects suggests a strong learning aptitude and problem-solving skills. However, the limited professional experience makes it difficult to fully assess operational fit in a fast-paced, senior-level corporate environment.