🎓 Transitioned from English Literature & Linguistics to Artificial Intelligence & Machine Learning
Strong foundation in Machine Learning, Deep Learning & Mathematical Concepts
Passionate about building intelligent, scalable AI systems
2× Mentor in Generative AI Hackathons
Python Instructor (6 Weeks) at iCodeGuru
Technical writer sharing ML & AI insights on LinkedIn

• Deep Learning Optimization
• Medical Image Analysis
• Computer Vision Architectures
• Generative AI & Foundation Models
• Applied Machine Learning Systems

• Python

• Supervised Learning (Regression & Classification)
• Feature Engineering & Data Preprocessing
• Model Evaluation (Precision, Recall, F1, ROC-AUC)
• Cross-Validation & Bias-Variance Analysis
• Time Series Forecasting
• Customer Churn Modeling

• Artificial Neural Networks (From Scratch Implementation)
• Convolutional Neural Networks (CNNs)
• Computer Vision Pipelines
• TensorFlow / Keras
• Model Optimization & Regularization Techniques

• Linear Algebra for ML
• Probability & Statistics
• Gradient Descent & Optimization
• Loss Functions & Backpropagation

• Strong analytical and structured problem-solving mindset
• Research-oriented approach to model design and evaluation
• Ability to teach complex technical concepts clearly
• Self-driven learner with rapid domain transition
• Long-term commitment to AI specialization

• Git & GitHub
• VS Code / PyCharm
• Jupyter Notebook
• Google Colab
• Streamlit (Model Deployment – Learning Phase)

🔹 California Housing Price Prediction
End-to-end regression pipeline with feature engineering, model comparison & evaluation.

🔹 Customer Churn Prediction
Classification modeling with business-driven insights & performance analysis.

🔹 Time Series Forecasting
Forecasting models with evaluation metrics and trend analysis.

🔹 CNN Chest X-ray Classification
Deep learning-based medical image classification using Convolutional Neural Networks.

🔹 VisionNet – FashionMNIST CNN
Custom CNN architecture for image classification with performance optimization.

🔹 Neural Regression Project
Neural network implementation for regression with mathematical intuition.

All repositories include structured documentation, methodology explanation, model evaluation, and result interpretation.

• Mentor in Generative AI Hackathons (2×)
• Python Instructor (6-Week Program)
• Participant in Coding Competitions (MIT, Advent of Code, Meta Challenges)
• AI & ML Technical Articles on LinkedIn

• Data Structures & Algorithms
• Production-Ready ML Systems
• Model Deployment & MLOps
• Research-Oriented Deep Learning Projects

• AI / ML Engineering Roles
• Research Assistantships
• AI Internships
• Collaborative AI Projects

📧 Email: aqsaabbasi2690@gmail.com
💼 LinkedIn: Aqsa Abbasi
🧠 LeetCode: Aqsa-abbasi26
🐙 GitHub: Aqsaabbasi2690