Engaged in diverse projects involving Machine Learning, Deep Learning, Computer Vision, NLP, and Generative AI models. This comprehensive portfolio underscores a versatile skill set, enabling the exploration and implementation of cutting-edge technologies across a spectrum of domains.

Guided Learning: Led mentoring sessions for students, providing personalized guidance on data science concepts such as machine learning, data analysis, and statistical modeling.Extensive Hands-on Experience: Leveraged experience working on over 100 diverse datasets to teach students practical data handling, cleaning, and preprocessing techniques. Demonstrated real-world applications of machine learning and statistical models by sharing insights from these datasets.Curriculum Development: Contributed to developing and refining the curriculum to ensure it met industry standards and effectively prepared students for real-world data science challenges.Project Oversight: Supervised student projects, offering insights and feedback to help them apply theoretical knowledge to practical scenarios, including hands-on work with Python, R, and other relevant tools.Skill Assessment: Conducted regular assessments to evaluate students' progress and provided constructive feedback to improve their technical skills and problem-solving abilities.Career Support: Assisted students in preparing for job interviews, helping them build strong resumes, and guiding them through the interview process with mock interviews and technical test preparations.

Assisted in data collection and preprocessing tasks to prepare datasets for analysis. Conducted exploratory data analysis(EDA) and presented findings to the team. Developed machine learning models for specific tasks using python and relevant libraries.