As a Data Scientist with a robust background in Python, Machine Learning, SQL, VBA, SAS, NLP, and Deep Learning, I bring a wealth of experience and expertise to the field of data science. My proficiency extends to general AWS services, including EC2, S3, SageMaker, AWS Transcribe, AWS Lambda and Azure speech SDK. In my previous role, I specialized in Credit and Fraud Risk Analytics, where I developed advanced machine learning models and conducted strategic analyses to mitigate risk and optimize decision-making. I also collaborated closely with clients to understand their needs and deliver tailored solutions that drove significant business value. Currently, I am leveraging my skills in a dynamic role focused on Speech Data Science. This position allows me to delve into the nuances of speech processing and apply innovative techniques to extract meaningful insights from audio data and comes up with something innovative which will impact on fintech industry. (AWS,Azure and Open AI Whisper,GPT, Transformers, Hugging face,GenAI) My journey in data science is marked by a passion for continuous learning and a commitment to driving impactful outcomes through data-driven strategies. I thrive in environments that challenge me to solve complex problems and look forward to connecting with like-minded professionals and exploring new opportunities in the field.