Artificial Intelligence and Machine Learning Student · Remote, India
Motivated Artificial Intelligence and Machine Learning student aspiring to build a career in Data Analytics and Data Analysis. Skilled in data visualization, data interpretation, and analytical problem-solving, with an interest in transforming raw data into meaningful insights.
Completed all 3 levels of the Data Analyst Internship Gained hands-on experience in data analysis, data cleaning, visualization, and insight generation Applied exploratory data analysis, visualization techniques, problem-solving, and project documentation to successfully complete assigned tasks and projects
Developed full-stack web applications using Python, HTML, CSS, JavaScript, and databases Gained hands-on experience in frontend and backend development Applied database integration, debugging, testing, and problem-solving to build functional and user-friendly web applications
Strengthened professional skills through training in communication, teamwork, critical thinking, interview preparation, and career readiness Applied structured problem-solving, project planning, and workplace decision-making in practical scenarios
Developed a Smart Rain Water Harvesting Management System using IoT concepts Completed SWOT and SMART analyses, data collection, dashboards, and technical reports Worked with Arduino, IoT frameworks, cloud technologies, and data visualization tools
Developed full-stack web applications using Java, HTML, CSS, JavaScript, and databases Gained practical experience in Java Programming, Full Stack Development and Data Base Management
Developed interactive Tableau dashboards to analyze housing sale prices, property features, renovation trends, and geographical patterns Used charts, KPIs, and filters to transform housing data into clear visual insights for understanding market trends and supporting data-driven analysis
Technologies: Tableau
Designed a dashboard-based concept to analyze rainwater harvesting, water availability, usage, cost savings, and sustainability metrics Performed SWOT analysis, project planning, and data visualization to present insights and propose efficient rainwater management strategies
Technologies: Tableau
Developed a web application which detects toxicity in comments and outputs the percentage of toxicity Trained with Naive Bayes, ML, achieving 90% accuracy and able to output toxicity percentage with real-time comments
Technologies: Naive Bayes, ML
CGPA: 8.91/10
Total: 82.8
CGPA: 10