Ver categorias
Explorar
Fiverr Pro
Português
$
USD
GaneshS
@subramanian_g
PhD
Canadá
Inglês, Tâmil
Sobre mim
Hello, I am Dr Ganesh Subramanian, a Data Analytics and AI instructor in Canada. I specialize in Python, data analytics, and machine learning basics. I help students and professionals understand concepts through clear explanations, debugging support, and step by step guidance. I can assist with Python coding, data analysis, visualization, and project support. I focus on clarity, practical learning, and reliable delivery. I provide quick responses, structured solutions, and professional guidance to help you improve your skills and complete your work with confidence effectively.
Habilidades
GaneshS
offline •
Tempo médio de resposta: 1 hora
Conheça meus serviços
Consulta de ciência de dados
I will python data analytics guidance and debugging
Experiência profissional
Contract Professor – Data Analytics
Coach • Meio período
Aug 2022 - Present • 3 yrs 9 mos
Teach data analytics, statistics, and programming concepts to university-level students with a focus on building strong analytical and problem-solving skills. Deliver lectures, labs, and guided sessions that cover Python, data analysis, visualization, and foundational machine learning concepts. Support students in assignments, projects, and coursework by providing structured guidance, detailed explanations, and practical examples. Help learners understand data interpretation, statistical reasoning, and real-world application of analytical techniques. Ensure academic integrity while assisting students in improving their approach to problem solving and coding. Encourage critical thinking, clarity in communication, and confidence in handling data-driven tasks. Provide feedback and mentoring to help students develop both technical skills and professional readiness in the field of data analytics.
Data Analytics & AI Instructor
Seneca Digital • Freelance
Jan 2022 - Present • 4 yrs 4 mos
Deliver training in Python, data analytics, and machine learning with a strong focus on practical learning and real-world applications. Design and deliver structured sessions that help learners understand core concepts, apply them to real datasets, and build confidence in solving analytical problems. Guide students and professionals through data cleaning, visualization, and basic modeling techniques using clear, step-by-step explanations. Provide hands-on support in projects, assignments, and lab activities while ensuring strong understanding rather than just task completion. Assist in debugging code, improving logic, and optimizing solutions for better performance. Emphasize clarity, accuracy, and industry-relevant practices to help learners transition from theory to practical implementation. Support diverse learners by simplifying complex topics into easy-to-understand modules and actionable steps.
