As a dedicated AI Developer and Data Scientist, I focus on transformative projects that leverage deep learning and machine learning to solve real-world challenges across industries.

Recently, I enhanced my practical skills as an AI Developer Intern at Educist Testing Services, applying AI technologies to an AI-based standardized tests evaluation system for my Final Year Project.

Developing advanced AI solutions and sophisticated machine learning models using technologies like Python, TensorFlow, PyTorch, and Scikit-Learn. I excel in implementing complex NLP techniques and predictive analytics to derive actionable insights from vast datasets.

Web Develpoment, Power BI, Generative AI, Business Development Strategies

AI-Based Standardized Test Evaluation System
Developed an AI system to automate and enhance the accuracy of standardized test assessments like IELTS, TOEFL, and GMAT. Utilized cutting-edge machine learning algorithms to analyze and predict test outcomes, improving the reliability of test evaluations.
Technologies: Python, Machine Learning, NLP
Key Achievements: Enhanced test processing speed by 40%, reducing human error.

Titanic Passenger Survival Classification
Built a predictive model for a UK client to classify Titanic passenger survival, achieving a remarkable 92% accuracy. Advanced visualizations and machine learning modeling provided deep insights into survival factors.
Technologies: Python, Scikit-Learn, Matplotlib, Seaborn
Key Achievements: Developed a model that outperformed existing benchmarks in predictive accuracy.

Used Car Price Prediction Model
Created a model to predict used car prices with a 94% R2 score. Applied advanced data visualization and machine learning to provide accurate market value assessments.
Technologies: Python, Random Forest, Matplotlib, Plotly
Key Achievements: Enabled car dealers to set competitive pricing effectively.

Lung Cancer CT Scan Analysis
Analyzed CT scans to detect lung cancer using deep learning, achieving over 95% accuracy. Fine-tuned pre-trained models to adapt to specific diagnostics needs.
Technologies: Deep Learning, Python, TensorFlow, Keras
Key Achievements: Improved early diagnosis rates significantly.

Brain Tumor Classification
Engineered a system to classify brain tumors using image processing and machine learning, enhancing diagnostic precision.
Technologies: Python, HOG, SVM, Random Forest
Key Achievements: Achieved high accuracy in tumor classification, aiding in faster clinical decision-making.

Loan Prediction System
Developed a model to predict loan approval, achieving an accuracy of 86%. This project helped financial institutions streamline their loan approval processes.
Technologies: Python, Logistic Regression, Decision Trees
Key Achievements: Reduced processing time and improved customer satisfaction.

Supermarket Sales Analysis
Conducted a comprehensive analysis of supermarket sales to optimize product placement and pricing strategies using data visualization tools.
Technologies: Python, Pandas, Matplotlib, Seaborn
Key Achievements: Increased sales efficiency and profitability.

Image Processing on Lung Dataset
Applied advanced image processing techniques to enhance features in lung dataset images, supporting medical research and treatment strategies.
Technologies: Python, OpenCV
Key Achievements: Enabled clearer imaging for improved analysis and diagnosis.

Whether you're looking for a collaborator or just want to connect, I'm open to new opportunities and partnerships in the tech world.