- Presented an interactive seminar titled "Getting started with python," providing participants with comprehensive knowledge of Python programming fundamentals. - Showcased expertise in Python basics, encompassing data types, variables, functions, loops, and conditional statements. - Offered valuable guidance on selecting the most suitable integrated development environments (IDEs) for Python, including PyCharm, Jupyter Notebook, and Visual Studio Code, enabling participants to make informed choices based on their programming requirements. - Explored the expanding significance of Python in diverse fields, such as data science, machine learning, web development, and automation, fostering an understanding of its future prospects. - Garnered positive feedback from attendees for delivering a well-structured and engaging seminar, resulting in heightened interest and enhanced comprehension of Python programming. - Organized and conducted an insightful online webinar titled "Getting ready for internships," catering to 3rd year b.tech AIML participants.

● Conducted a seminar on "Introduction to VS-Code" to educate participants on the features and functionality of the popular code editor. ● Demonstrated the use of VS-Code's powerful tools and plugins to enhance productivity and streamline coding workflows. ● Conducted a seminar on "Different IDEs of Python for Data Science and Machine Learning" to introduce participants to various integrated development environments suitable for data science and machine learning projects. ● Discussed the advantages and disadvantages of different IDEs, helping attendees make informed decisions based on their specific needs. ● Provided hands-on demonstrations and practical examples to showcase the capabilities of different IDEs in data science and machine learning tasks.

• Developed a house price prediction model, a crucial tool in the real estate industry, aiding stakeholders in making informed decisions with an accuracy of 92.35%. • Constructed a diabetes prediction model, demonstrating my potential in healthcare-related projects with machine learning, achieving an accuracy of 95.3%. • My diabetes prediction model could potentially assist medical professionals in predicting diabetes by 70% at an early stage, enabling timely intervention. • Created a wine quality prediction model, showcasing my ability to handle multi-faceted data and develop models that can predict subjective outcomes, such as taste and quality with an accuracy of 97.965%. • Gained valuable experience in predictive modelling, data handling, and analysis across various industries and increased my skill level by 30%

• Successfully completed a project on Fake News Detection with a precision of 89.36%, which was found satisfactory. • Restructured Churn Modelling, applying machine learning techniques to predict customer behaviour and retention with the optimization of 67%. • Conducted an in-depth analysis of the COVID-19 dataset, contributing to the understanding of the pandemic’s impact by visualization by 70%. • Gained hands-on experience in handling and analysing complex datasets, enhancing my data science skills by 15%. • Collaborated with a team to address project needs and resolve issues, demonstrating my teamwork and brainstorming abilities by 25%.

As a Data Science Intern at Yoshops.com, I had the opportunity to apply my skills and knowledge in the field of data science to contribute to the company's objectives. During my internship, I was involved in various data-related projects and gained hands-on experience working with real-world datasets. Responsibilities: 1. Data Analysis 2. Applying ML Algorithms 3. Data Visualisation 4. Research and Innovation 5. Performance Evaluation 6. Documentation and Reporting Key Skills Developed: Proficiency in data analysis techniques, including data cleaning, preprocessing, and feature engineering. Knowledge of machine learning algorithms and their application in solving real-world problems. Experience in data visualization using tools such as matplotlib, seaborn, or Tableau. Ability to work with large datasets and perform efficient data processing. Strong programming skills in Python programming language Understanding of statistical concepts and their practical implementation. Effective communication and collaboration skills in a team environment. Overall, my internship at Yoshops.com provided me with valuable practical experience in the field of data science, allowing me to apply theoretical knowledge to real-world scenarios. I gained a deep understanding of data-driven decision-making processes and enhanced my skills in data analysis, machine learning, and data visualization.