Industry Exposure:My journey reflects immersion in cutting-edge industries, ranging from e-commerce giants to innovative research hubs and multinational corporations. Each industry brought its unique set of challenges and opportunities, fostering an adaptable and resilient professional profile.In the bustling environment of Amazon, I navigated the intricacies of machine learning applications, contributing to forecasting tools and API designs and development for application and models . The 1819 Innovation Hub exposed me to the dynamic world of research, emphasizing the importance of meticulous data cleaning and the deployment of unsupervised learning models for real-time insights. My tenure at Cognizant immersed me in the critical realm of healthcare data, where I designed robust data streaming solutions and developed end-to-end data analysis pipelines for cancer toxicities.Key Skills:My proficiency extends across a spectrum of technical skills, encompassing programming languages, libraries, cloud services, machine learning techniques, and data streaming platforms.Programming Languages:Mastery in Python and Java, coupled with expertise in source code testing frameworks like JUnit and PyTest, showcasing a foundation in solid software development practices.Libraries:Versatility in working with Python libraries such as Beautiful Soup, NumPy, Matplotlib, and SciPy, indicating a diverse toolkit for handling varied tasks.Cloud Services:Competence in configuring, debugging, and deploying applications with AWS services, showcasing a deep understanding of cloud-based solutions.Machine Learning Techniques:Proficiency in machine learning techniques using frameworks like TensorFlow, PyTorch, and ML-Flow, indicating a constant evolution with the dynamic field of artificial intelligence.Data Streaming Platforms:Familiarity with data streaming platforms like Kafka underscores an understanding of real-time data processing and distribution.