I am a Data Science undergraduate student at the University of Moratuwa and a freelance Data Analyst on platforms like Fiverr and Upwork. I'm also a learner on Datacamp. Check out my portfolio). I'm dedicated, responsible, and driven by the opportunity to contribute as a versatile team player. With a positive attitude and effective communication skills, I'm fueled by my passion for AI, ML, DL, NLP, Computer Vision, and Data Science.

• Proficient in ML Models: Classification, regression, and clustering.
• LLMs Experience: Leveraging Large Language Models with OpenAI and Hugging Face Hub.

• Versatile in Neural Networks: ANNs, CNNs, and RNNs using TensorFlow, Keras, and PyTorch.
• Specialized in ANN, CNN, RNN: Understanding their strengths in pattern learning and data analysis.

• Expertise in NLP Techniques: Word embedding, stemming, named entity recognition, etc.
• Proficient in NLP Libraries: NLTK, spaCy, and Hugging Face Transformers.

• Statistical Data Analysis: Proficient in statistical analysis techniques for deriving insights from data.
• R Studio: Experience in data analysis and visualization using R Studio.
• Power BI: Proficient in creating interactive visualizations and reports with Power BI.
• Tableau: Skilled in data visualization and dashboard creation using Tableau.

• Plotly Dash Application: Experience in building interactive web applications for data visualization using Plotly Dash.

• Langchain Familiarity: Handling large-scale NLP workflows.
• Computer Vision Skills: Object detection, image classification using OpenCV and Pillow.
• Python Proficiency: Strong skills in data manipulation and model development.
• MLOps Experience: Efficient model management and deployment.
• Big Data Processing: Optimizing PySpark programs for big data processing.
• Model Deployment: Using Docker and cloud services like Azure.
• Algorithm Development: Designing and implementing algorithms.
• Data Engineering: Preprocessing data and building pipelines.
• Cloud Computing: Deploying ML models on AWS, Azure, Google Cloud.
• Software Engineering: Following best practices for building robust AI solutions.

🛠️ Proficient in:

• Python, R, TensorFlow, PyTorch, Scikit-learn: For AI development.
• NLTK, spaCy, Hugging Face Transformers: For NLP tasks.
• Jupyter Notebooks, Git: For development and collaboration.
• AWS, Google Cloud: For deploying AI solutions.