Aspiring AI/ML Engineer | AI & Data Science Enthusiast
I am Adeel Iqbal, an aspiring Machine Learning Engineer with a strong passion for Artificial Intelligence and Data Science. I am actively building my expertise in how machines learn from data, adapt to new challenges, and help solve problems that matter in the real world. For me, AI is not just technology, itβs a way to explore ideas, push boundaries, and create meaningful impact.
I am especially fascinated by Agentic AI β intelligent systems that can think ahead, act independently, and make decisions without constant human guidance. The thought of building AI that can reason, adapt, and collaborate like a true partner excites me, because it feels like stepping into the next chapter of technological evolution. This curiosity keeps me exploring new concepts, experimenting with projects, and staying connected to the latest advancements in AI research.
My vision is to grow into a professional who can design AI solutions that are not only smart, but also ethical and beneficial for people. I believe technology should inspire trust, empower communities, and open doors to new possibilities. With every step in my learning journey, I aim to move closer to that goal, shaping AI that understands, learns, and acts with purpose.
A Machine Learning based Streamlit App that predicts High or Low Pregnancy Risk using a tuned Random Forest model, designed to support early detection and improve maternal health outcomes.
A Spotify-like Music Recommendation System using Content-Based + Popularity-Aware Filtering, built with Streamlit for an interactive experience.
A Machine Learning based Streamlit app to predict if a tumor is Benign or Malignant based on 30 cytology features β powered by Logistic Regression.
A content-based movie recommendation system built with Python and Streamlit. It uses NLP and Similarity algorithms to suggest movies based on user preferences, featuring an interactive web app UI. Perfect for learning recommendation algorithms and deploying AI-powered applications.
An interactive Power BI dashboard analyzing Forbes Global 2000 companies. Visualizes key metrics like Sales, Profit, Assets, and Market Value, with insights by Industry, Country, and Top Companies.
A Machine Learning solution for Credit Card Fraud Detection achieving 93.68% F1-score using RandomForest and SMOTE to handle extreme class imbalance.
Interested in learning more about my professional background, education, and experience? Download my CV to get a comprehensive overview of my qualifications and achievements.
Download CVI'm always interested in hearing about new opportunities and exciting projects. Whether you have a question or just want to say hi, feel free to reach out!
Karachi, Pakistan
adeelmemon096@yahoo.com