ASMITA WAGHMARE

Computer Science Engineering graduate with skills in AI, data analysis, and cybersecurity. Experienced in SQL optimization, forensic technologies, and published research in reinforcement learning. Passionate about developing scalable software solutions and solving real-world technical challenges through structured, innovative thinking.

Organized and dependable candidate successful at managing multiple priorities with a positive attitude. Willingness to take on added responsibilities to meet team goals.

1. Conference-Style Website (HTML, CSS, JavaScript)   Developed a professional multi-page website for event registration, schedules, speaker profiles, and sponsorship details.

• Utilized HTML for structure, CSS for styling, and JavaScript for interactivity.
• Focused on front-end development and responsive design to ensure seamless user experience across devices.
• Demonstrated attention to detail and professionalism in layout, navigation, and content presentation.
• Managed the full project lifecycle: environment setup, coding, testing, and deployment.

2. Mental Health Fitness Tracker (Python, TensorFlow, Pandas, Scikit-learn)   Built a machine learning model to analyze and predict mental fitness levels using global datasets.

• Applied ML algorithms for classification and performance evaluation.
• Conducted data cleaning, preprocessing, and statistical analysis to extract meaningful insights.
• Addressed ethical considerations in handling sensitive mental health data.
• Showcased innovation and problem-solving by applying AI to a real-world health challenge.

3. Reinforcement Game Learner (Python, TensorFlow, OpenAI Gym)   Implemented reinforcement learning algorithms to train AI agents in gaming environments.

• Used Deep Q-Learning (DQN) to enable intelligent decision-making in games like 2048 and taxi simulations.
• Built neural networks with TensorFlow to approximate Q-values in high-dimensional state spaces.
• Demonstrated understanding of AI in gaming and agent-environment interaction models.
• Explored strategic learning and adaptive behavior in dynamic scenarios.

4. Art Gallery Management System (Oracle SQL Mini Project)   Designed and implemented a secure, normalized Oracle SQL database for managing galleries, exhibitions, artists, and sales.

• Technologies used: Oracle 11g/19c, SQL Developer.
• Key features: Role-Based Access Control (RBAC), soft delete, purchase auditing, revenue summaries, validation, and error logging.
• Ensured data integrity, minimized redundancy, and enhanced security through controlled access.
• Developed modular procedures and functions for efficient data handling and compliance with digital governance standards.