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About Candidate
I am a motivated and detail-oriented Data Analytics Trainee with a strong foundation in Python, SQL, and Excel. I enjoy working with real-world data to find meaningful patterns and insights. My strengths lie in data cleaning, EDA (exploratory data analysis), and reporting. I have also explored beginner-level data science techniques and believe in continuous learning to solve problems smarter. I bring curiosity, consistency, and a passion for turning raw data into clear, actionable decisions.
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Work & Experience
Performed data cleaning, analysis, and visualization using Python, Excel, and SQL on healthcare datasets. • Generated actionable insights to support patient service optimization and improve operational efficiency. • Gained hands-on experience with real-world data, EDA techniques, and reporting for healthcare analytics.
Demonstrated proficiency in identifying and mitigating application-level vulnerabilities such as SQL Injection, XSS (Cross Site Scripting). • Penetration testing on web applications, successfullyidentifying unauthorized access or malicious activities. • Strong understanding on networking concepts and Linux.
Experience in solving an IT Technical solution and communicating regularly with users to solve a technical issue. • Experience in support of Windows, Microsoft OS, Microsoft Office, Network, VPN implementation, and Windows applications, problem-solving and interaction through email, chat, and calls. • ITIL fundamentals Ability to work under pressure with calmness and composure, strong problem-solving.
