🌟 Highly self-motivated and results-oriented graduate student with over 3 years of professional experience in Machine Learning, Data Science, Deep Learning, Natural Language Processing, and Machine Learning Operations (MLOps).

🚀 I have a passion for developing and implementing algorithms across diverse domains and driving enhanced business efficiency through Machine Learning Models, Data Preprocessing, Feature Engineering, and Data Analysis and Visualization.

🔭 I am proficient in Software Development and Large Language Model development, adept at applying ML/DL techniques and algorithm development to solve real-world business challenges.

👨‍💻 In my spare time, I enjoy working on various projects and participating in hackathons and competitions to showcase my innovation and problem-solving skills.

• Programming Languages: Python, R, Core Java, C/C++, JavaScript
• Technologies/Frameworks/Libraries: Pandas, Scikit-Learn, TensorFlow, Keras, PyTorch, OpenCV, Django, ML Flow
• Data Science and Miscellaneous Technologies: Data Science and Machine Learning Pipeline, Statistics, Hypothesis Testing, Data Analysis, CI/CD Pipeline, MLOps, AutoML
• Machine Learning and Deep Learning: Regression, Classification, CNN, RNN, LSTM, Transfer Learning, Transformers, BERT, Vision Transformers, Large Language Models, Hugging Face
• Generative AI and Technologies: OpenAI API, Azure OpenAI API, Gemini Pro, Prompt Engineering, Langhian, LlamaIndex, Pinecone, Opensource Large Language Models, RAG
• Cloud: AWS Sagemaker, AWS S3, AWS Lambda, Azure Data Factory, AWS Glue
• Database Management: MySQL, Snowflake SQL, Oracle SQL, Microsoft SQL Server
• Big Data Technologies: ETL, PySpark Basics
• Dashboard Developments: Power BI