- Collecting, analyzing, and interpreting large datasets.- Designing and implementing data models and algorithms for business problem-solving.- Developing and maintaining data pipelines and architectures.- Creating visualizations and reports for stakeholders.- Ensuring data quality and implementing best practices in data management.

-Delivered custom NLP and Computer Vision solutions for clients, using Python, TensorFlow, and PyTorch to implement state-of-the-art machine learning algorithms.-Developed solutions for text classification, sentiment analysis, object detection, and image segmentation, exceeding client expectations by achieving optimal model performance.-Integrated Retrieval-Augmented Generation (RAG) and fine-tuned Large Language Models (LLMs) to enhance information retrieval and deliver context-aware outputs.-Consistently delivered projects on time, improving client satisfaction and securing repeat business.

-Spearheaded the development of intelligent customer chatbots using NLP models for intent recognition, entity extraction, and sentiment analysis, enhancing chatbot responsiveness and accuracy.-Led a cross-functional team to design conversational flows, gather requirements, and incorporate business logic for seamless user experiences.-Built and deployed machine learning models using TensorFlow, Scikit-learn, and NLTK, optimizing them with caching and scaling strategies on AWS.-Integrated chatbot models into full-stack applications, deploying a React-based user interface and Flask/Django APIs on AWS EC2, ensuring secure communication through HTTPS and SSL certificates.-Oversaw Next.js website deployment using AWS Amplify, optimizing performance with CDN caching and automatic scaling for high traffic.

-Designed and deployed a sentiment analysis bot with an 85% accuracy rate, enabling real-time customer feedback analysis.-Developed an ID reader to extract key information from scanned documents, automating data extraction processes.

-Developed a sophisticated trading bot using OHLC data, applying machine learning algorithms to identify trends and execute profitable trades.-Built object detection models with TensorFlow and PyTorch, improving image classification accuracy for various applications.-Collaborated with teams to deliver solutions, ensured model integration, and provided comprehensive documentation and post-deployment support.-Increased trading bot accuracy by 15%, driving higher profitability and user trust.