Bachelor of Information Technology | Transforming data into meaningful insights to support smart decisions | Turning real-world problems into reliable software solutions through code.
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I aspire to join an organization where I can utilize my strengths and help achieve its goals. Guided by a passion for learning and a desire for excellence, I am committed to improving my capabilities and contributing positively to the organization.
Skills
Experience
Education
Developed and maintained an e-commerce web app using Java Spring Boot, HTML, CSS, and JavaScript. Collaborated on API integration and database management, improving backend efficiency by 20%, and participated in Agile sprints.
Core SQL database for building ETL pipelines, managing structured data, and performing business analytics.
Experienced in developing software using OOP concepts and strong problem-solving strategies to deliver optimized applications.
Powerful language for data visualization, statistical analysis, and machine learning with rich libraries like Pandas, Matplotlib, and Scikit-Learn.
Converts raw data into clear visual stories and analytical insights through interactive reports and dashboards.
A Git-based platform for managing code, tracking changes, and collaborating on software projects.
The web begins with HTML, shaping content into meaning, forming the core structure of every digital experience.
CSS paints the web with style and personality, making every page look unique and alive.
Without JavaScript, the web is silent.With it, every click becomes a story.
React updates the UI with speed and precision,rendering changes instantly through its virtual DOM.
Spring turns complex Java into simpler modules,speeding up development.
C teaches logic at its roots,mastering it shapes every other language.
Node.js runs JavaScript on the server,powering fast and scalable backend systems.
Processed and analyzed Data Professionals Survey using Power Query and Power BI, creating an interactive dashboard with insights on roles, salaries, tools, and industry trends. Highlighted skill preferences, salary variations, and career satisfaction to support informed decision-making.
Developed a machine learning model to detect phishing websites by analyzing URL features such as port numbers, presence of HTTPS, and domain patterns, using algorithms like Random Forest, SVM, and Logistic Regression to enhance cybersecurity and protect users from online attacks.
Developed a machine learning–based Fake Job Posting Detection system using Logistic Regression, Extra Trees, and XGBoost, achieving up to 98% accuracy in identifying fraudulent listings and safeguarding job seekers on recruitment platforms through robust feature engineering and model evaluation.