Surabhi

Deep Learning trainer in Thane

Deep Learning

Location: Thane, India
Trainer Since: February, 2023

Trainer profile

Deep Learning trainer in Thane

About Surabhi

Surabhi is an experienced Deep Learning Trainer with a strong background in data science and a passion for teaching and mentoring. With a background in Computer Science & IT and over 17 years of industry experience, Surabhi has honed her expertise in artificial intelligence (AI) and data analytics. As a Deep Learning Trainer, Surabhi imparts knowledge and skills related to deep learning techniques to aspiring data scientists and AI enthusiasts. She deeply understands various machine learning techniques and their practical implementation in real-world scenarios.

Surabhi's role as a trainer involves designing and delivering comprehensive training programs that cover the fundamentals of deep learning, neural networks, and advanced concepts such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs). She is skilled at explaining complex concepts in a simplified manner, ensuring that her students grasp the underlying principles and can apply them effectively.

Surabhi's strong problem-solving skills further enhance her training abilities. She equips her students with the necessary theoretical knowledge and teaches them how to apply deep learning techniques to analyze data, develop predictive models, and derive actionable insights. In addition, her expertise in data regression models and data mining algorithms allows her to deliver valuable insights and implement effective solutions to complex business problems.

Surabhi is a Corporate Trainer For

Deep Learning

Training Since:February, 2023

Work Experience

Freelance Consultant
Computer and Information Technology (IT) · February, 2020 - present
Roles & Responsibilities
- Providing expert consultancy services to clients seeking guidance in implementing deep learning techniques and solutions for their specific projects or business needs
- Staying up to date with the latest advancements and research in the field of deep learning and artificial intelligence to offer cutting-edge insights and solutions to clients
- Collaborating with clients to understand their requirements, analyze their data, and identify opportunities where deep learning can be applied effectively
- Designing and developing deep learning models and algorithms tailored to the specific needs of clients, considering factors such as data availability, computational resources, and desired outcomes
- Assisting clients in acquiring and preprocessing data, ensuring it is suitable for deep learning tasks, and guiding them in selecting appropriate techniques for data augmentation and normalization
- Training and fine-tuning deep learning models, optimizing hyperparameters, and evaluating model performance using appropriate metrics
- Providing ongoing support and troubleshooting assistance to clients during the implementation and deployment of deep learning solutions, addressing any issues or challenges that may arise
- Delivering training programs and workshops on deep learning to individuals or organizations, sharing practical knowledge, and teaching the fundamentals of building and training deep neural networks
Assistant Professor
Education · January, 2021 - November, 2021
Roles & Responsibilities
- Taught professional courses in the area of expertise, including preparing course materials, delivering lectures, facilitating discussions, grading assignments and exams, and providing guidance and feedback to students
- Engaged in scholarly research and contributed to the academic field, which involved conducting research studies, publishing research papers in reputable journals, presenting findings at conferences, and seeking external research funding through grants
- Served as an academic advisor to students, providing guidance on course selection, career paths, and research opportunities. Supervised graduate students and mentored them in their research projects
- Contributed to curriculum development by participating in developing and revising the department or program's curriculum. This included designing new courses, updating existing courses, and ensuring the curriculum aligned with current industry trends and academic standards
- Participated in service activities within the institution and professional community. This involved serving on committees, attending departmental meetings, participating in academic conferences, and reviewing manuscripts for journals or proposals for grants
Head of Data Science
Computer and Information Technology (IT) · November, 2021 - present
Roles & Responsibilities
- Developing and executing a roadmap for the team of data scientists to innovate in multiple business verticals by transforming the way problems are solved using Data Science and Artificial Intelligence
- Strategically coordinating, anticipating, and actively managing change within the team, while setting stakeholder expectations as required
- Identifying operational risks and enabling the team to drive issues to resolution
- Providing knowledge leadership to the group on AI to solve the most challenging business problems and deliver value
- Designing, developing, and delivering various data science-based insights, outcomes, and innovations
- Creating "proof of concepts & blueprints" to drive faster, timely, highly precise, workable, and proactive decision-making based on data-based insights and science
- Selecting innovative methods, including machine learning, deep learning, other cognitive computing methods, and artificial intelligence
- Conducting exploratory analytics to identify trends, patterns, or process drivers
Head of Information Technology
Education · December, 2012 - February, 2020
Roles & Responsibilities
- Developed and implemented the college's IT strategy aligned with its overall goals and objectives. Identified emerging technologies and trends to support the college's future needs
- Established and enforced IT policies, standards, and procedures to ensure compliance, security, and data privacy. Ensure adherence to legal and regulatory requirements
- Oversaw the planning, implementation, and maintenance of the college's IT infrastructure, including networks, servers, databases, and systems. Ensure high availability, reliability, and scalability of IT services
- Coordinated the selection, implementation, and support of software applications and systems used in various departments of the college, such as student information systems, learning management systems, financial systems, etc.
- Developed and maintained IT service management processes, including incident management, change management, problem management, and service desk operations. Ensured timely and effective resolution of IT-related issues and requests