Python & Data Analytics
Hands-on training in Python programming and data analytics for practical, real-world problem solving.
I design and deliver hands-on training in Python, data analytics, machine learning, deep learning and generative AI. Programmes can be tailored for colleges, faculty-development initiatives, training providers and corporate learning teams.
Practical · Clear · Applied
Trainer · Researcher · Mentor
I hold an MCA and an M.Tech in Computer Science from JNTUH, qualified APSET-2021 in Computer Science and Applications, and am pursuing a Ph.D.
My training combines clear explanations with practical exercises, projects and structured assessment. I have completed NPTEL courses in Deep Learning, Machine Learning, Research Methodology in Natural Sciences, and Python for Data Science.
My selected research publications and DOI links are available below. I welcome conversations with colleges, faculty-development teams and organisations planning applied technology learning.
Custom programmes for colleges, faculty-development initiatives, training providers and corporate learning teams.
Hands-on training in Python programming and data analytics for practical, real-world problem solving.
Workshops covering core ML and DL concepts, from foundations to applied model building.
Practical sessions on generative AI concepts, tools and responsible real-world usage.
Faculty development, curriculum support and structured learner project mentoring.
A clear process so each programme is built around your learners, goals and constraints.
We discuss your learners, goals and constraints to scope a suitable programme.
A curriculum is designed around your audience and intended learning outcomes.
Sessions use exercises, projects and guided practical work.
We review outcomes, gather feedback and plan practical next steps.
Selected research publications with DOI links.
ICCCTEE 2025
ICCRTEE 2025
ICMLAS 2025
ICCCSMD 2024
ICCCSMD 2024
Course certificates and academic qualifications.
A practical Excel-to-Power BI workshop for management cohorts. Participants work through a business case, interpret key metrics and present a data-backed recommendation.
Work with a marketing, finance, sales or operations case and identify the decision the data should support.
Organise the dataset, calculate useful measures and compare performance across relevant categories.
Turn selected measures into a clear dashboard and practise reading trends and differences.
Explain the evidence, note assumptions and communicate a practical next step to a management audience.
Share a few details about your audience, goals and timeline; I’ll use them to understand the training you’re exploring.
The enquiry form opens securely in Google Forms in a new tab.
Whether you’re planning a college workshop, faculty-development initiative or corporate learning programme, I’d be glad to discuss your needs.
Share your audience, preferred topics and tentative timeline.
Connect for training enquiries, collaboration and updates.