Passionate about leveraging cutting-edge technologies to extract actionable insights from data and develop intelligent solutions to complex problems. Enthusiastic about diving into the depths of object-oriented programming and Data Structure & algorithms. Familiar with the Google Cloud Platform. I have a deep understanding of cloud computing principles and a proficiency in leveraging GCP's services to build scalable and reliable solutions. Proficient in programming languages such as C++, Java, Python and R. Proficient in network protocols and socket programming, I enjoy crafting robust client-server applications and distributed systems that facilitate seamless data exchange over networks. Strong understanding of machine learning algorithms and techniques. Competent in statistical analysis and hypothesis testing. Proficient in database management systems like SQL. Ability to work with large datasets and perform data preprocessing. Familiarity with deep learning frameworks like TensorFlow and PyTorch
Certificate(After Completion of Course)
Course Layout -
Certificate(After Completion of Course)
Course Layout -
Certificate(After Completion of Course)
About this Course
Certificate(After Completion of Course)
About this Course
Certificate(After Completion of Course)
About this Course
Two months of immersive learning in the realms of Data Science with AI and ML- a journey of exploration, learning, and hands-on experience. Click Here for Certificate
Received comprehensive training on the fundamentals of front-end web development, including HTML and CSS.
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Specialization: Artificial Intelligence & Data Science
Percentage : 92.40%
Percentage : 84.67%
Below are the Projects on Python, Java, HTML, CSS, JS, PHP, MySQL & ML
Involves the development of a user-friendly interface that presents aptitude questions and evaluates user responses. This project amalgamates Java's robustness with interactive GUI components to create an engaging and educational quiz platform for aptitude assessment.
Build an intelligent system that analyzes user behavior or preferences to suggest items or content that are likely to be of interest to them. Typically, this involves several key steps. Firstly, data collection and preprocessing are essential, where user interactions or historical data about items are gathered, cleaned, and transformed into a suitable format for ML algorithms.
this project involves gathering, processing, and interpreting data related to the COVID-19 pandemic using appropriate tools and techniques. Initially, data is sourced from reliable repositories such as government health departments, global health organizations like the World Health Organization (WHO), or public datasets available online. Python, along with libraries such as Pandas, NumPy, and Matplotlib or Seaborn, is commonly used for data handling, manipulation, visualization, and analysis tasks.
Developed using HTML, CSS, PHP, and MySQL, the system offers a user-friendly interface for accessing transportation-related information, making reservations, and administering the transport services effectively. The DBMS-based College Transport Management System is a web application designed to streamline the management of transportation services within a college or university campus.
Published Research Paper on "MANIPULATION AND MANUFACTURE OF MATERIAL WITH NANOTECHNOLOGY"
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Jaipur, Rajasthan, India