Azan Pirzada | AI Enthusiast

About Me

Who I Am

I chose Computer Science to understand how intelligence is built, not just how it's used. I'm particularly interested in algorithms, machine learning systems, and the way data-driven models learn, adapt, and improve over time.

My focus is on building practical AI solutions by combining strong fundamentals with hands-on experimentation. I enjoy turning ideas into working systems and continuously refining them through real-world data and feedback.

I'm always open to connecting, collaborating, and learning through modern tech tools. If you're working on something interesting or exploring applied AI, feel free to reach out.

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Areas of Focus

What I specialize in

🤖

Machine Learning

Supervised and unsupervised learning. Model training, evaluation, and optimization. Feature engineering and preprocessing.

🔬

Data Science

Exploratory data analysis (EDA). Data-driven insights from real datasets. Connecting data patterns to practical outcomes.

📊

Data Analysis

Data cleaning and transformation. Visualization and reporting. Supporting decision-making with data.

⚡

Problem Solving & DSA

Core data structures. Algorithmic thinking. Logical problem breakdown and efficient solutions.

My Skills

Programming Languages

Python 80%

C++ 90%

Libraries & Frameworks

TensorFlow 70%

Scikit-learn 70%

NumPy 80%

Pandas 80%

Tools & Platforms

Git 80%

GitHub 80%

Data Visualization 75%

Canva Design 85%

Generative AI 90%

Microsoft Excel 90%

Core Competencies

Analytical Thinking 95%

Business Problem Solving 85%

Problem Solving 90%

AI Prompting 90%

Learn About My Skills

Click to explore what each skill is about

🤖

Machine Learning

AI systems that learn from data and improve over time without explicit programming.

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🧠

TensorFlow

Google's open-source platform for building and deploying ML models at scale.

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📊

Data Analysis

Inspecting, cleaning, and modeling data to discover useful insights and inform decisions.

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🔬

Data Science

Extracting knowledge from structured and unstructured data using scientific methods.

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⚡

DSA

Data Structures & Algorithms - the foundation of efficient problem solving in programming.

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💬

Generative AI

Leveraging AI models to create content, automate tasks, and solve complex problems.

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📈

Microsoft Excel

Advanced data organization, analysis, and visualization for actionable business insights.

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🎨

Vibe Coding

Using AI assistants to generate code by describing what you want in natural language.

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🎭

Canva Design

Creating stunning visual content using Canva's intuitive design platform.

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My Experience

Data Analytics Intern

Fluxxion

Dec 2025 – Jan 2026 Remote

Performed data cleaning, exploratory analysis, and insight generation on structured datasets
Applied analytical reasoning to extract meaningful patterns under task deadlines
Worked within real-world constraints beyond academic exercises

Virtual Intern – Data Analytics

Forage Simulation

Deloitte

Dec 2025 Remote

Completed a Deloitte-led data analytics job simulation based on real business scenarios
Analyzed datasets to identify patterns, risks, and insights in forensic and analytical contexts
Practiced structured problem-solving aligned with client-focused decision-making

Virtual Intern – Partnering with AI

Forage Simulation

Datacom

Dec 2025 Remote

Used generative AI tools for research, writing, and feature planning in workplace-style tasks
Created client-ready reports and presentations by refining AI-generated outputs
Diagnosed and validated website form issues through AI-guided troubleshooting