Muhammad Ayyaz Khan

Muhammad Ayyaz Khan Headline: Data Analyst with 5+ years of experience in business intelligence, data analysis, and reporting. Expertise in MS Excel, Power BI, and SQL.

I have advanced expertise in MS Excel and am proficient in other tools like Power BI, Tableau, and SQL. Summary:

I am a data analyst with a strong track record of success in data driven decisions. I have over 5 years of experience in business intelligence, data analysis, and reporting. I am skilled in MS Excel, Power BI, Tableau, and SQL, and I am passionate about using data to solve real-world p

roblems. In my current role at GSK, I am responsible for compiling and analyzing sales data to identify sales trends and opportunities. I also created reports for weekly business review meetings and helped the sales team to develop and track their targets. For this purpose, I mostly use MS Excel and Power BI. I am a highly motivated and results-oriented individual with a keen eye for detail. I am also a team player, and I am always willing to go the extra mile. I am eager to find a new opportunity where I can use my skills and experience to make a significant contribution to a team. Skills:

MS Excel (10+ years)
Power BI (1 year)
MS PowerPoint (2 years)
MS Word (10+ years)
Tableau (Less than 1 year)
SQL (1 year)

Excited to Share a New Milestone in My Learning Journey!I’m pleased to share that I have successfully completed the Goog...
30/08/2025

Excited to Share a New Milestone in My Learning Journey!

I’m pleased to share that I have successfully completed the Google Prompting Essentials Certification, a program designed to enhance practical AI skills through four modules:

Writing effective prompts like a pro
Designing prompts for everyday work tasks
Speeding up data analysis and presentation building
Leveraging AI as a creative and expert partner

A special thanks to Sir Hisham Sarwar for assigning me this valuable certification, and to Sir Zafar Iqbal whose continuous efforts and encouragement to embrace AI motivated me to pursue and complete this course.

This certification has strengthened my ability to integrate AI into my workflows, especially in data analysis and presentation, enabling me to work smarter and deliver more impactful insights.

28/08/2025

Day 10 – File Handling in Python: Storing & Managing Data! 🗂️🐍

Today, I learned how to work with files in Python — a crucial skill for saving, reading, and managing data efficiently.

What I Learned Today:

Creating, reading, writing, and appending to files

Counting words, lines, and removing blanks

Copying, merging, and reversing file contents

Reading CSV files and managing file size

Saving user inputs until they type "exit"

Why This Matters:
File handling is essential in real-world applications, whether you're saving logs, managing datasets, or processing reports.

👉 What was the first file you ever created or managed using Python?
Share your experience below — let’s learn together!

27/08/2025

Day 9 – Functions in Python: Building Blocks of Reusable Code! 🐍⚡
Today, I explored the power of functions in Python. Functions help us organize our code, make it reusable, and keep it clean & efficient.

What I Learned Today:
• Creating and using functions to perform specific tasks
• Recursion for factorial calculation
• Checking prime numbers, palindromes, and Armstrong numbers
• Generating Fibonacci sequences
• Calculating GCD, area of a circle, and even converting Celsius to Fahrenheit

Why This Matters:
Functions are the foundation of scalable code. They make our programs easier to read, debug, and expand.

👉 What’s the most useful function you’ve ever written in Python?
Comment below — let’s share and learn together!

26/08/2025

Day 8 – Mastering Dictionary Methods & More in Python! 🐍✨

Today, I learned how to work with dictionaries, sets, lists, and strings using their most powerful methods. These tools make data manipulation simple and efficient!

What I Explored Today:

Dictionaries: Creating, merging, removing keys, checking for existence, and retrieving values

Sets: Removing duplicates and finding intersections

Strings: Counting vowels, splitting, joining, and replacing text

Key Takeaway:

Understanding these built-in methods saves time and makes your code cleaner.

👉 Which one do you use the most — set(), zip(), or dictionary .get()?
Comment below and share your favorite method!

25/08/2025

Day 7 – Sets, Dictionaries & Strings in Python! 🐍✨

Today, I explored three essential built-in data structures and tools in Python: Sets, Dictionaries, and String Methods. These are the backbone for organizing, storing, and managing data efficiently.

💡 What I Learned:

Sets: Store unique elements and remove duplicates easily

Dictionaries: Key-value pairs for structured data

Strings: Manipulation using built-in methods like upper(), split(), and replace()

✅ Key Takeaways:

Use sets when you want unique values

Use dictionaries for fast key-based lookups

Mastering string methods will make your text handling powerful

👉 Which one do you find more useful in your daily coding — Sets, Dictionaries, or Strings?

Comment below and share your experience!

24/08/2025

Day 6 – Exploring Lists & Tuples in Python! 🐍📋

Today, I explored two powerful data structures in Python: Lists & Tuples.
Lists let you store and modify multiple values easily, while Tuples provide fixed, secure data containers.

💡 What I Learned:

Creating, accessing, and modifying lists

Removing duplicates and finding second largest numbers

Using tuples for safe, unchangeable data

Converting lists to tuples and vice versa

✅ Key Takeaways:

Lists are mutable — great for dynamic data

Tuples are immutable — perfect for secure, fixed data

These are the foundation for advanced data structures in data science and AI

👉 Which one do you use more in your coding journey — Lists or Tuples?
Comment below and share your favorite use case!

23/08/2025

Day 5 – Mastering Loops in Python! 🐍🔄

Loops are the backbone of automation in coding — today, I explored how Python repeats tasks efficiently using for, while, and range().

💡 What I Learned:

Writing for loops with range() to iterate over numbers

Using while loops for continuous ex*****on based on conditions

Creating patterns with nested loops (stars, numbers, reverse order)

Building small programs like multiplication tables, factorials, and Fibonacci sequences

✅ Key Takeaways:

Loops save time and reduce repetitive code — essential for data preprocessing & analysis

Combining loops with conditions opens the door to powerful automation

Even complex data workflows often start with simple for and while

👉 What was your favorite loop exercise as a beginner?
Was it a star pattern, a table, or a small game?
Share below ⬇️ — let’s inspire beginners to practice more!

22/08/2025

Day 4 – Mastering If Conditions & Loop Control in Python! 🐍⚡

Today, my Python journey leveled up with decision-making and control flow — the real brain behind any program!
I explored how if, elif, else and loops with break/continue/pass make code flexible and powerful.

💡 What I Learned:

Writing if, elif, and else for multi-condition logic

Using nested if for layered decisions

Applying break, continue, pass to control loops

Real-world uses: grading systems, leap year check, login validation

✅ Key Takeaways:

Control flow turns static code into dynamic programs that respond to user inputs.

Small conditions build the foundation for complex AI & data science pipelines.

Loops + conditions = automation!

📢 Call to Action:

👉 What was the first decision-making program you wrote?
Was it a grading system, a calculator, or something creative?
Comment below ⬇️ — let’s share beginner milestones!

21/08/2025

🔢 Day 3 – Making Python Interactive: User Input & Operators! 🐍✨

Today, my Python journey moved from static code to interactive programs — where the user becomes part of the process!
I explored how Python collects user data and performs real-time calculations & logic using operators.

💡 What I Learned:

Using input() to take user input and display dynamic messages

Converting input strings into numbers with int() and float()

Performing arithmetic: + - * / %

Comparing values to check conditions

Logical operations (and, or) to combine multiple checks

Quick intro to membership (in) and identity (is) operators

✅ Key Takeaways:

User input is the first step toward real applications — from simple calculators to data-driven forms.

Operators are the backbone of all decisions, calculations, and automation in Data Science & AI.

Even the most complex algorithms start from these simple building blocks!

📢 Call to Action:

👉 What was the first interactive program you created in Python (or any language)?
Comment below ⬇️ — let’s inspire beginners to start their coding journey!

✅ *Must-Know MS Excel Shortcuts* ⚡💻 📝 *Basic Shortcuts:* 🔹 Ctrl + N → New workbook 🔹 Ctrl + S → Save 🔹 Ctrl + Z / Y ...
21/08/2025

✅ *Must-Know MS Excel Shortcuts* ⚡💻

📝 *Basic Shortcuts:*
🔹 Ctrl + N → New workbook
🔹 Ctrl + S → Save
🔹 Ctrl + Z / Y → Undo / Redo
🔹 Ctrl + C / V / X → Copy / Paste / Cut
🔹 Ctrl + F / H → Find / Replace
🔹 Alt + Tab → Switch apps

🧭 *Navigation:*
🔹 Ctrl + Arrow → Jump to data edges
🔹 Ctrl + Home / End → Move to start / end
🔹 Page Up / Down → Scroll
🔹 Alt + Page Up / Down → Horizontal scroll

🎨 *Cell Formatting:*
🔹 Ctrl + B / I / U → Bold / Italic / Underline
🔹 Ctrl + 1 → Format dialog
🔹 Ctrl + Shift + $ / % / # / @ → Currency, %, date, time

✂️ *Editing & Selection:*
🔹 F2 → Edit cell
🔹 Ctrl + Enter → Fill same value
🔹 Shift + Space / Ctrl + Space → Select row / column
🔹 Ctrl + Shift + "+" or "-" → Insert / delete row/column
🔹 Ctrl + Shift + L → Toggle filter

📊 *Formulas:*
🔹 = → Start a formula
🔹 Alt + = → AutoSum
🔹 F9 → Evaluate
🔹 Ctrl + Shift + Enter → Array formula

📈 *Pivot Tables & Tools:*
🔹 Alt + D + P → PivotTable wizard
🔹 Alt + A + C → Clear filters
🔹 Alt + H + O + I → AutoFit column width

🧩 *Miscellaneous:*
🔹 F4 → Repeat last action
🔹 Ctrl + ; / Shift + : → Insert date / time
🔹 Alt + Enter → New line in cell

*React ♥️ for more*

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Lahore
54782

Telephone

03014171263

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