Soumili Mondal

Participated in an intensive training program, developing practical skills in machine learning project lifecycle and cloud infrastructure deployment.

• Developed an end-to-end Machine Learning project, from data preprocessing to model evaluation, utilizing Python, Scikit-learn, and TensorFlow.
• Deployed project applications on AWS services including EC2, S3, and Lambda, ensuring efficient and scalable cloud infrastructure.
• Gained practical exposure to data analytics, API development, and cloud security best practices, enhancing foundational knowledge for AI/ML and cloud engineering.

Contributed to a 4-member team in developing an end-to-end IoT solution, encompassing hardware integration, software programming, and data visualization.

• Collaborated within a 4-member team to build an end-to-end IoT solution, integrating hardware circuits, sensors, and data transmission modules.
• Programmed ESP32 microcontrollers in Python to manage sensor data acquisition and facilitate robust cloud communication.
• Designed and assembled custom hardware for the IoT prototype, ensuring robust system functionality and reliability.
• Implemented real-time data visualization for sensor outputs, providing immediate insights crucial for the IoT model's performance analysis.

Contributed to a 5-person team in developing a data visualization tool, enhancing user interaction and data insight extraction.

• Collaborated within a 5-person team to develop a Python-based data visualization tool, contributing to 2 key interactive modules.
• Utilized Pandas and Matplotlib libraries for analyzing sample datasets, extracting critical insights that informed initial project design and development.
• Actively participated in daily stand-up meetings and code reviews, fostering a collaborative, efficient, and high-quality team development process.

Developed a machine learning model to predict crop yields, focusing on optimizing agricultural outcomes through data-driven insights.

Represented IIT Kharagpur's Kshitij 2024, Asia's largest techno-management festival, promoting events and engaging student communities.

Served as Class Representative for Computer Science & Technology at Dr. M.S.I.T, fostering communication and representing student interests.

Engineered an IoT-based automated water tap system to promote water conservation and enhance hygiene.

Created a classic Breakout-style ball game using Java, showcasing object-oriented programming skills and game development fundamentals.

Selected for the Micro, Small & Medium Enterprises (MSME) program, recognizing entrepreneurial potential and innovative project concepts.

Awarded a silver medal in the prestigious Camel Art Contest, demonstrating artistic talent and creativity.

Selected for national level participation in the National Children's Science Congress, highlighting early scientific aptitude and project presentation skills.

Authored and presented a research paper on developing hybrid frameworks for enhanced solar energy prediction at the 2025 International Conference on the Leadership and Management of Projects in the Digital Age (ICLAMP 2025).