Smriti Sangli India

Smriti

Computer Vision Trainer in Sangli
Location
Sangli, India
Trainer Since
July, 2010
Computer Vision
Machine Learning
Location
Sangli, India
Trainer Since
July, 2010
Computer Vision
Machine Learning

Computer Vision Trainer in Sangli

About Smriti

Smriti is a seasoned professional in Computer Vision and Machine Learning whose expertise is fortified by over six years of dedicated experience as a trainer. Her journey in the field spans over two and a half decades, during which she has passionately delved into research, training, and development. With an unwavering commitment to staying at the forefront of technological advancements, Smriti has honed her skills in various domains, including Computer Vision, Machine Learning, and Database systems. Her extensive experience as a trainer has equipped her with a profound understanding of the nuances of these subjects, enabling her to impart knowledge and mentor aspiring professionals in the field effectively.

As a dynamic figure in the tech industry, Smriti's dedication to fostering expertise extends beyond her professional endeavors. With a genuine belief in the transformative power of education, she has continually sought to empower professionals with the tools and knowledge necessary to thrive in the rapidly evolving landscape of Computer Vision and Machine Learning. Through her strategic guidance and hands-on training methodologies, Smriti has cultivated a reputation for nurturing talent and instilling a deep-seated passion for innovation among her students. Her multifaceted approach, blending theoretical insights with practical applications, ensures that learners grasp fundamental concepts and acquire the practical skills essential for success in the field.

Smriti is a Corporate Trainer For

Computer Vision

Training Since:
July, 2010

Machine Learning

Training Since:
January, 2018

Work Experience

Assistant Professor

Education:
February, 2006 - February, 2014

Roles & Responsibilities

  • Conducted research in [specific area of expertise], contributing to advancing knowledge in the academic community
  • Led as the PG Program coordinator, maintaining close collaboration with postgraduate students, ensuring smooth program operation, and addressing any concerns or challenges
  • Led as the Head of the Department, ensuring smooth program operation, and addressing any concerns or challenges, developing laboratories etc.
  • Developed and taught undergraduate and graduate courses, ensuring the delivery of high-quality education and fostering student engagement and critical thinking
  • Mentored and supervised graduate students, guiding them in their research projects and academic pursuits
  • Participated in academic committees and departmental meetings, contributing insights and expertise to institutional decision-making processes
  • Published articles in peer-reviewed journals, disseminating research findings to the broader academic community and maintaining a strong presence in the field
  • Collaborated with colleagues on interdisciplinary research projects, promoting collaboration and knowledge exchange within and beyond the university

Professor and Head, Computer Science

Education:
January, 2019 - June, 2022

Roles & Responsibilities

  • Led as the Head of Department, ensuring smooth program operation, and addressing any concerns or challenges
  • Spearheaded the development of research laboratories within the Computer Science department, overseeing the acquisition of necessary equipment, setting up experimental protocols, and ensuring adherence to safety standards
  • Developed comprehensive course materials for graduate and postgraduate levels, ensuring alignment with current industry trends and academic standards
  • Instructed various courses at both graduate and postgraduate levels, utilizing innovative teaching methodologies to engage students and facilitate a deeper understanding of complex concepts
  • Provided mentorship and guidance to postgraduate students, assisting them in their research projects, thesis development, and career aspirations within Computer Science
  • Acted as a liaison between faculty members, administrative staff, and external stakeholders, fostering effective communication and collaboration to enhance the department's overall academic environment and research output

Corporate Trainer

Computer and Information Technology (IT):
July, 2018 - present

Roles & Responsibilities

  • Conduct comprehensive research in Computer Vision, Machine Learning, and Deep Learning to stay abreast of the latest advancements, methodologies, and best practices
  • Develop and design training materials, including presentations, workshops, and hands-on exercises, tailored to diverse corporate audiences' specific needs and skill levels
  • Deliver engaging and interactive training sessions on Computer Vision, Machine Learning, Deep Learning concepts, algorithms, and applications, fostering a dynamic learning environment conducive to knowledge retention and skill enhancement
  • Evaluate training effectiveness through assessments, surveys, and feedback mechanisms, continuously refining content and delivery methods to optimize learning outcomes and meet organizational objectives
  • Collaborate with stakeholders, including management, subject matter experts, and training coordinators, to identify training needs, develop learning objectives, and align training initiatives with corporate strategies and goals
  • Provide ongoing support and mentorship to trainees, offering guidance, resources, and troubleshooting assistance to facilitate comprehension, application, and mastery of complex technical concepts and tools

Skills

Python
Scikit-learn
Pandas
Numpy
Matplotlib
OpenCV
Tensorflow
Keras
Pytorch
Matlab
Curriculum Development
Project Development
Interpersonal Skills
Teamwork

Education

Shivaji University, Kolhapur / Walchand College of Engineering, Sangli

Computer Vision, Machine Learning:
2005-2010

Walchand College of Engineering, Sangli

Computer Science & Engineering - Image Processing:
1998-2000

Walchand College of Engineering, Sangli

Computer Engineering:
1988-1992

Projects

Posts

Courses

Computer Vision
Machine Learning

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