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Business analytics with Excel & Power BI
Work through a business case, build a dashboard and present a data-backed recommendation.
● Practical technology learning
Hands-on Excel, Power BI, Python & AI Training for Colleges and Teams
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.
Learn
by doing.
by doing.
Practical · Clear · Applied
Python & data01
Machine learning02
Generative AI03
Build understanding → capability
Python ✦Data analytics ✦Machine learning ✦Deep learning ✦Generative AI ✦Faculty development
Workshops
Choose a practical learning path.
These are starting points. I tailor the level, duration and examples to your cohort after a needs discussion.
Python, web & data science
Choose Python foundations, Flask or Django web development, ML-based data science, or a separate TensorFlow deep learning path. A five-day, 30-hour Python foundation is available for beginner or mixed-level cohorts.
Analytics for work
Tailored Excel, Power BI or Python training around your team's reporting tasks and decisions, with live virtual delivery across time zones.
For BTech cohorts, explore Python, Flask or Django, ML-based data science and TensorFlow deep learning paths ↗. Need generative AI fundamentals, faculty development or another format? Tell me your audience and goals ↗
For MBA & PGDM
Business analytics, learned by doing.
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 ↗ · See the workshop plan ↗
Frame a business question
Work with a marketing, finance, sales or operations case and identify the decision the data should support.
Analyse with Excel
Organise the dataset, calculate useful measures and compare performance across relevant categories.
Build a Power BI view
Turn selected measures into a clear dashboard and practise reading trends and differences.
Present a recommendation
Explain the evidence, note assumptions and communicate a practical next step to a management audience.
See the approach
Try the live teaching demos.
Explore short, interactive examples of how I turn business and classroom questions into practical exercises. Each is a prototype using fictional data.
Python Rise
Write and run real Python in a four-fall challenge. Try to build a five-answer streak.
Play Python Rise ↗Business Case Lab
Build a decision exercise from channel performance and compare an instructor key with a learner brief.
Try Business Case Lab ↗Finance Forecast Lab
Change operating assumptions and see how a three-year forecast responds.
Try Finance Forecast Lab ↗Project Decision Lab
Explore NPV, IRR, payback and debt coverage for a fictional investment.
Try Project Decision Lab ↗Cohort Lens
Preview a prototype for turning cohort feedback into a clearer training discussion.
Try Cohort Lens ↗Interested in a tailored workshop or a pilot for your cohort? Request a proposal ↗
Learner feedback
Explore earlier learner feedback.
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.
Google reviews
Read learner feedback on the public Google listing.
View Google reviews ↗Justdial
View Justdial’s rating and feedback. Its displayed rating index can include ratings from across the web.
View Justdial listing ↗Google Play
See ratings and reviews from earlier app users.
View app reviews ↗More teaching feedback: explore public LinkedIn recommendations ↗ and a student-created internship reflection ↗.
Recent teaching engagements
Padmavathi University MBA
Excel & Power BI business analytics · 2026
Delivered through Dattha Institute
Lexicon MILE
Deep Learning · 2026
Dr. D. Y. Patil B-School
Business analytics & AI tools · 2025–2026
These are delivery examples, not claims about learner outcomes or independent endorsements. View the dated career profile ↗
About
Clear explanations, practical learning.
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.
How it works
From discussion to delivery.
A clear process so each programme is built around your learners, goals and constraints.
Needs discussion
We discuss your learners, goals and constraints to scope a suitable programme.
Tailored curriculum
A curriculum is designed around your audience and intended learning outcomes.
Hands-on delivery
Sessions use guided exercises, interactive quizzes, concept mind maps and projects to help learners apply what they learn.
Feedback & next steps
We review outcomes, gather feedback and plan practical next steps.
Selected publications
Research & writing.
Selected research publications with DOI links.
Intelligent Traffic Flow Prediction: CNN-LSTM Hybrid with Marine Predator Algorithm
ICCCTEE 2025
Optimized Traffic Flow Prediction Using Sparrow Search Algorithm and LSTM
ICCRTEE 2025
Risk-Adapted Breast Cancer Screening: DOT + Ultrasound with AI
ICMLAS 2025
Smart Traffic Management: IoT-Driven GS-SVM
ICCCSMD 2024
Enhancing IoT Security: Explainable Deep Learning Intrusion Detection
ICCCSMD 2024
Selected learning
Always learning, always sharing.
Course certificates and academic qualifications.
Deep LearningNPTEL · IIT Madras · 2022
Introduction to Machine LearningNPTEL · IIT Kharagpur · 2022
Research Methodology in Natural SciencesNPTEL · IIT Madras · 2024
Python for Data ScienceNPTEL · IIT Madras · 2024
Enquiry
Let’s plan a practical training programme.
Tell me about your learners, topic and timeline. I’ll reply to discuss a suitable live virtual or on-site programme.
Choose how to get in touch
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.
Let’s connect
Discuss a training programme.
Whether you’re planning a college workshop, faculty-development initiative or corporate learning programme, I’d be glad to discuss your needs.
Contact for training
Share your audience, preferred topics and tentative timeline. Use the enquiry form to request a proposal or email me directly.
Professional links
Connect for training enquiries, collaboration and updates.