AI Job Market Analyzer Dashboard
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Summary
Designed and deployed an interactive web dashboard to visualize AI and data job market trends, providing insights into roles, skills, and locations.
Highly motivated B.Tech student in Computer Science (Health Informatics) with a 8.71 CGPA and practical expertise in AI/ML and data analysis. Proven ability to develop and deploy data-driven solutions, including a YOLO-based malarial parasite detection system (84% precision) and an AI job market analyzer, demonstrating strong skills in data processing, model optimization, and interactive dashboard creation. Seeking to apply technical acumen and health informatics knowledge to impactful roles in data science, AI engineering, or health tech.
Email Marketing Intern
Ernakulam, Kerala, India
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Summary
Executed targeted email campaigns and optimized data workflows to enhance engagement and streamline processes for GEMA Education.
Highlights
Executed targeted email campaigns for schools using the YAAM platform, achieving a 15% higher open rate.
Optimized data workflows by meticulously analyzing engagement metrics (CTR, conversions) using Excel to identify key improvement areas.
Streamlined data management processes by designing automated spreadsheets, enhancing analytical efficiency and improving information sharing.
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B.Tech
Computer Science (Health Informatics)
Grade: CGPA: 8.71
Issued By
IBM
Issued By
IBM
Python, Java, SQL, PL/SQL.
Pandas, NumPy, Matplotlib, Scikit-learn, OpenCV, YOLO, Machine Learning, Deep Learning, Hyperparameter Optimization, Object Detection, Data Augmentation, Cross-validation.
Plotly, Dash, PowerBI, Excel, Google Sheets, Data Analysis, Data Visualization.
React, Python (Backend), Render, API Integration.
MySQL, Git, BurpSuite.
Real-time Systems, Dataset Labeling.
Football, Event Coordination, Team Leadership.
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Summary
Designed and deployed an interactive web dashboard to visualize AI and data job market trends, providing insights into roles, skills, and locations.
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Summary
Developed and deployed an AI-powered system for real-time wildlife monitoring and alerting, integrating computer vision, geolocation, and web technologies.
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Summary
Developed and optimized a YOLOv5 model for detecting malarial parasites from blood smear images, leveraging advanced computer vision techniques.
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Summary
Developed an AI-powered mental health companion application during an AI Hackathon at Visvesvaraya National Institute of Technology (VNIT).