Passionate Intern with recently obtained Computer Science degree in specialization in Artificial Intelligence. Energetic individual with outstanding interpersonal, analytical and critical thinking skills. Poised to build valuable experience and ready to contribute to team success with administrative and project management support.
Iris Flower Clustering and 3D Visualization with K-Means:
Worked on K-means clustering in Python to analyze and visualize the Iris dataset in three dimensions, revealing intricate clusters among the flower species based on their distinctive features. This project offers an elegant representation of pattern recognition and data grouping within the enchanting world of Iris flowers.
Zomato Data Analysis:
Python's data analysis capabilities to dissect and interpret a vast Zomato dataset, uncovering dining trends, user preferences, and regional variations. The insights I extracted guided restaurant owners and food enthusiasts, enabling them to make informed decisions and elevate the culinary experience.
Black Friday Sale Data Analysis:
Leveraging Python's data manipulation tools, I delved into Black Friday sales data, revealing intricate consumer behavior patterns and uncovering fluctuations in product demand. By decoding these trends, businesses gained a competitive edge, optimizing pricing strategies and future promotional campaigns.
Fire Fighting Robot:
A firefighting robot is an autonomous or remote-controlled machine designed to assist firefighters in extinguishing fires. These robots can navigate hazardous environments, deliver water or extinguishing agents, and provide valuable support in firefighting operations while minimizing human exposure to danger.
Crowd funding using Block chain:
Crowd funding using block chain technology involves raising funds through decentralized platforms, where transactions are recorded on a secure and transparent block chain. This innovative approach enhances trust, reduces intermediaries, and ensures efficient distribution of funds among contributors and project creators.
Iris Dataset:
Exploratory Data Analysis (EDA) on the Iris dataset is a data analysis technique used to gain insights into the dataset's characteristics. It involves visualizing and summarizing key statistics and features of the Iris dataset, such as the distribution of petal and sepal measurements, species classification, and potential patterns, to help understand its structure and relationships between variables.
Communication Skill
Decision-Making
Organization
Time Management
Project Management
Dedicated to supporting fellow students, I have proactively organized and participated in five voluntary job placement drives at PCET. By assisting in interview preparation, resume building, and job search strategies, I have contributed to enhancing students' employability and career prospects, fostering a culture of mutual growth and success within the college community.
Dedicatedly leading the group for Data Modeling and Processing towards the Health Care Fraud Detection in USA using different models for the perfect accuracy for the detection.