Data Scientist & Machine Learning Engineer | AI/ML Specialist
This portfolio is currently under development. You can preview the structure and contact me directly. Full content and projects will be available soon!
Welcome to my portfolio! I'm a passionate Data Scientist and Machine Learning Engineer with expertise in statistical analysis, machine learning implementation, and AI model development. I specialize in transforming complex data into actionable insights and building intelligent systems that solve real-world problems.
Currently advancing my expertise through Interview Kickstart's comprehensive AIML Software Engineering Program, where I'm mastering the complete machine learning lifecycle from data preprocessing to model deployment. My focus areas include deep learning, transformer architectures, and generative AI applications.
I'm passionate about leveraging cutting-edge AI/ML technologies to create innovative solutions. My approach combines rigorous statistical analysis with modern machine learning techniques to deliver robust, scalable AI systems that drive meaningful impact.
Supervised/Unsupervised Learning, Ensemble Methods, Model Optimization, Feature Engineering
Neural Networks, Transformers, Generative AI, Large Language Models, Prompt Engineering
Python, Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, Statistical Analysis
Statistical Modeling, Data Preprocessing, Seaborn, Matplotlib, Data Storytelling
Experimental Design, A/B Testing, Statistical Inference, Correlation Analysis
Model Deployment, MLOps, Pipeline Development, Performance Optimization
Advanced machine learning project implementing predictive modeling with comprehensive feature engineering, statistical analysis, and data visualization. Achieved high accuracy through ensemble methods and strategic missing value handling.
Custom neural network implementations for complex pattern recognition, featuring advanced architectures, optimization techniques, and performance evaluation metrics for real-world AI applications.
End-to-end AI applications leveraging transformer architectures and prompt engineering for natural language processing tasks, including text generation and semantic analysis.
Production-ready machine learning pipeline with automated data preprocessing, model training, evaluation, and deployment capabilities. Features comprehensive monitoring and performance optimization.
Advanced statistical research project featuring hypothesis testing, correlation analysis, and predictive modeling with comprehensive visualization and interpretation of complex datasets.
Innovative AI solution combining multiple machine learning techniques to solve complex business problems, featuring model interpretation, performance optimization, and scalable deployment.