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Miraj
Ud Din

Artificial Intelligence Engineer & Researcher

Undergraduate AI student (CGPA 3.65/4.0) at the University of Agriculture Peshawar, specialising in Machine Learning, Deep Learning, and Data Science. Published ML researcher with deployed real-world applications.

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Miraj Ud Din – AI Engineer
18+
ML Models
Evaluated
3.65
CGPA
/ 4.00
0.9013
Best Model
R² Score
About Me

Building the Future
with Intelligence

I am a 6th-semester Artificial Intelligence undergraduate at the University of Agriculture, Peshawar (ICS/IT). My passion sits at the intersection of research and real-world deployment — turning raw datasets into intelligent, production-ready systems.

From building an 18-model comparative regression study with Optuna-optimised hyperparameters, to deploying live Streamlit applications, I strive to bridge the gap between academic research and practical AI solutions. I am currently pursuing opportunities in master's-level research.

Machine Learning Deep Learning Data Science NLP Optimization AI Research
Peshawar, Pakistan
English · Urdu · Pashto
BS AI – 2027
Miraj Ud Din – AI Engineer
Technical Arsenal

Skills & Expertise

A full-stack AI toolkit — from raw data wrangling to hyperparameter tuning and web deployment.

 Programming Languages
Python (Libraries) 95%
SQL 90%
HTML . CSS . JS 60%
C++ 50%
 ML . Data Science . AI Frameworks
NumPy . Pandas . Matplotlib . Seaborn . Plotly 95%
Scikit-learn 92%
TensorFlow . Keras 82%
XGBoost . LightGBM . CatBoost 88%
 Tools & Platforms
NumPy Pandas Matplotlib Seaborn Plotly XGBoost LightGBM CatBoost TensorFlow Keras ANN / CNN / RNN / LSTM Optuna / TPE SMOTE Git & GitHub VS Code Antigravity Antigravity Jupyter Notebook Google Colab Streamlit Vercel Firebase Excel Word PowerPoint EndNote
Work

Projects

End-to-end machine learning systems — from raw data to live deployed applications.

Smartphone Price Prediction App Smartphone Price Prediction App
Live ✓

Smartphone Price Prediction
Comparative ML Regression Analysis

Built and evaluated 18 regression algorithms on an uncleaned Kaggle smartphone dataset. Applied Optuna TPE over 50 trials for automated hyperparameter tuning. Deployed as a real-time Streamlit app with multi-currency output (PKR / USD / INR / CNY).

R² = 0.9013
MAE = 0.2102
50 Optuna Trials
XGBoost Optuna Streamlit Python Regression 18 Models
Live App GitHub Repo
Credit Card Fraud Detection App
Live ✓

Credit Card Fraud Detection
ML Classification System

Developed a classification pipeline detecting fraudulent transactions on a heavily imbalanced dataset(492 frauds out of 284,807 transactions). Applied SMOTE oversampling alongside Logistic Regression, Random Forest, and XGBoost. Evaluated with an accuracy of 99.9%, precision, recall, and F1-score. Deployed as a live Streamlit web app.

Fraud Detection
SMOTE Applied
XGBoost Winner
Logistic Regression Random Forest XGBoost SMOTE Classification
Live App GitHub Repo
Academic

Education

University of Agriculture, Peshawar
University of Agriculture, Peshawar

BS Artificial Intelligence

University of Agriculture, Peshawar

Institute of Computer Sciences and Information Technology (ICS/IT)

2023 – 2027 (Expected) 6th Semester Peshawar, KPK
3.65
CGPA / 4.00
Research

Publications

Machine Learning Research
Under Review — 2026

A Comparative Analysis of Machine Learning Regression Models for Smartphone Price Prediction with Optuna Hyperparameter Optimisation and Streamlit Deployment

Miraj Ud Din Journal Submission 2026 Under Review
Machine Learning Regression Optuna HPO XGBoost Streamlit Smartphone Pricing
Credentials

Certifications

Verified certifications from industry-leading platforms.

NAVTTC Certificate
NAVTTC

Artificial Intelligence (ML · DL · Communication)

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Microsoft Azure AI-900
Microsoft Azure

Azure AI Fundamentals — AI-900

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DataCamp Data Science for Business
DataCamp

Data Science for Business

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Cisco Introduction to Data Science
Cisco

Introduction to Data Science

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DataCamp Introduction to Python
DataCamp

Introduction to Python

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DataCamp Introduction to SQL
DataCamp

Introduction to SQL

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DataCamp Introduction to Excel
DataCamp

Introduction to Excel

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Typing.com Proficiency
Typing.com

Typing Proficiency

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Focus Areas

Research Interests

Artificial Intelligence
Machine Learning
Deep Learning
Data Science
Data Analysis
Optimization
NLP
AI Research
Beyond Code

Extra Activities

LetTech Ramzan Series 2026 — One-Week Bootcamp
Intensive bootcamp covering: Entrepreneurship · AI Tools for Students · AI in IT Operations · AI Cybersecurity & SDGs · Career Crafting · Solutions That Save Lives.
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Career Direction Seminar
Professional development seminar focused on career planning, academic pathways, and navigating the AI job market.
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Basic First Aid Training — GHSS Barkhalozo
Comprehensive training program covering essential first aid protocols, emergency response, and life-saving techniques.
View Certificate
Get In Touch

Contact Me

Interested in research collaboration, scholarship inquiries, or just want to connect? I'd love to hear from you.

Email
mirajuddin1357@gmail.com
Location
Peshawar, KPK, Pakistan

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