Live virtual workshops across time zones and on-site sessions by agreement for MBA and PGDM cohorts, engineering students, and professional teams. Learners practise with cases, dashboards, code and clear feedback.
Practical · Clear · Applied
These are starting points. I tailor the level, duration and examples to your cohort after a needs discussion.
Start without coding in Excel and Power BI, or choose Python for business analytics and data science. Advanced MBA/PGDM cohorts can explore a separate deep learning workshop. Each path uses a case and an evidence-based recommendation.
Choose a no-code Excel and Power BI analytics introduction, Python foundations, Flask or Django web development, Python data science and ML, or a separate TensorFlow deep learning path. The five-day, 30-hour Python foundation is one starting option.
Tailored Excel, Power BI or Python training around your team's reporting tasks and decisions, with live virtual delivery across time zones.
For engineering cohorts, compare no-code analytics and Python, web, ML or TensorFlow paths ↗. For management cohorts, compare BBA, MBA and PGDM analytics workshops ↗. Not sure which path fits? Ask the on-page course adviser ↗. Need generative AI fundamentals, faculty development or another format? Tell me your audience and goals ↗
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. Preview the Business Case Lab ↗ · Compare all management paths ↗
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.
Explore short, interactive examples of how I turn business and classroom questions into practical exercises. Each is a prototype using fictional data.
Write and run real Python in a four-fall challenge. Try to build a five-answer streak.
Play Python Rise ↗Build a decision exercise from channel performance and compare an instructor key with a learner brief.
Try Business Case Lab ↗Change operating assumptions and see how a three-year forecast responds.
Try Finance Forecast Lab ↗Explore NPV, IRR, payback and debt coverage for a fictional investment.
Try Project Decision Lab ↗Preview a prototype for turning cohort feedback into a clearer training discussion.
Try Cohort Lens ↗Inspect a fictional sales table, choose cleaning treatments and see how your decisions change the dashboard.
Try Data Readiness Lab ↗Check nine AI-style claims against business, learning and Python evidence, with instant explanations.
Try AI Answer Audit Lab ↗Interested in a tailored workshop or a pilot for your cohort? Request a proposal ↗
Public feedback from Masters Academy learners and users of the Mrhafeez e-learning app. These reviews describe earlier training and app experiences; current college and corporate programmes are delivered live online or on-site.
Read learner feedback on the public Google listing.
View Google reviews ↗View Justdial’s rating and feedback. Its displayed rating index can include ratings from across the web.
View Justdial listing ↗See ratings and reviews from earlier app users.
View app reviews ↗More teaching feedback: explore public LinkedIn recommendations ↗ and a student-created internship reflection ↗.
Excel & Power BI business analytics · 2026
Delivered through Dattha Institute
Deep Learning · 2026
Business analytics & AI tools · 2025–2026
These are delivery examples, not claims about learner outcomes or independent endorsements. View the dated career profile ↗
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.
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 guided exercises, interactive quizzes, concept mind maps and projects to help learners apply what they learn.
We review outcomes, gather feedback and plan practical next steps.
Selected research publications with DOI links.
ICCRTEE 2025
ICCRTEE 2025
ICMLAS 2025
ICCCSMD 2024
ICCCSMD 2024
Course certificates and academic qualifications.
Tell me about your learners, topic and timeline. I’ll reply to discuss a suitable live virtual or on-site programme.
Use the short Google enquiry form or email me directly. Share your audience, topic, dates and preferred time zone. On-site delivery outside India depends on agreed travel and applicable permissions.
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. Use the enquiry form to request a proposal or email me directly.
Connect for training enquiries, collaboration and updates.
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