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Data Science with less than a year in AI/ML and project experience in IoT and web development.
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Assessing your cultural and operational fit
Highly motivated Computer Science student specializing in Big Data Analytics with a virtual internship in AI/ML and hands-on experience in IoT security and full-stack web development projects. Proficient in Python, SQL, and various data analysis and visualization tools. Certified in Penetration Testing and passionate about leveraging technology to solve real-world problems and optimize performance.
SRM University
Bachelor of Technology · Computer Science, specialization in Big Data Analytics
August 1, 2022 – June 30, 2026
AICTE and Eduskills Foundation
AWS AI-ML VIRTUAL INTERNSHIP
April 1, 2025 – June 1, 2025
India
Performance Analysis In Competitive sports
June 1, 2026 – Present
Real-time analytics reduce reaction time in strategy adjustments by 40%, leading to faster in-game tactical shifts. AI-based injury prediction lowers injury rates by 30%, reducing player downtime and medical costs. AI-powered game analysis reduces video review time by 50%, allowing coaches to focus on strategy rather than manual breakdowns. Data visualization tools improve communication between coaches and players by 30%, making strategies clearer and more actionable.
IOT SECURITY SCANNER
June 1, 2026 – Present
Developed a Python-based IoT Security Scanner with a Tkinter GUI, integrating Scapy and Nmap to detect devices, identify IP/MAC addresses, and analyze open ports within the local network. Implemented multi-threaded real-time scanning and automated network detection using Netifaces, providing a user-friendly interface for monitoring IoT device vulnerabilities and network exposure.
GYM E-commerce Website Development
June 1, 2026 – Present
Built a responsive gym e-commerce website using HTML, CSS, JavaScript, and React, ensuring seamless cross-device performance and a smooth user experience. Engineered interactive features including a BMI calculator, personalized workout plans, and a real-time progress tracking dashboard. Collaborated with the client to gather requirements and delivered the project within deadlines.
Certified Penetration Tester (CPT)
Red Team Hacker Academy
June 1, 2026 – Present
Quantitative Analysis of Performance Metrics in Football Teams and Players
International Journal of Scientific Development and Research (IJSDR)
June 1, 2026 – Present
Microsoft Excel: Beginner to Advanced in Animation + ChatGPT
Udemy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate shows a diverse interest in projects, ranging from data science (sports analytics) to cybersecurity (IoT scanner) and web development (e-commerce). This breadth of interest, while demonstrating versatility, might indicate a less focused career path for a senior Data Science role. The AWS AI-ML internship aligns well with the target role, but other projects and certifications (e.g., Penetration Tester) suggest a broader technical curiosity rather than deep specialization in data science. The academic background in Big Data Analytics is a strong positive for cultural fit within a data-driven organization.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to collaborate (GYM E-commerce Website Development) and apply problem-solving skills (IoT Security Scanner). The AWS internship suggests a capacity for structured learning and practical application. However, without specific psychometric test results, a comprehensive assessment of work attitude, stress handling, and team collaboration is not possible.