As a passionate and driven Computer Science professional, I bring over 2 years of experience from industry leaders like Amazon and Techsol Life Sciences. Currently, I am pursuing a Master’s degree in Computer Science at The University of Texas at Arlington, where I specialize in Software Engineering, Databases, and Machine Learning. My expertise lies in leveraging data engineering, machine learning, predictive analysis, and quantitative and qualitative analytics to solve complex problems and drive business impact. My unique blend of technical skills and a keen eye for optimizing algorithms has consistently delivered measurable results.-Increased stowing accuracy by 30% and reduced bin processing time by 25% by developing and implementing machine learning models using deep learning and neural networks to enhance the TRON HMI tool.-Achieved a 40% increase in productivity and reduced data load by 20% by leading the seamless migration of pharmaceutical records for 42+ companies from Zoho to the Argus application, applying rigorous data engineering principles and predictive analysis.-Improved response times by 35% and enhanced the accuracy of device tracking by 50% by optimizing help desk operations through advanced monitoring, documentation, and tracking within the ServiceNow portal, along with efficient device management via the Azure portal.I am proficient in Python, Java, MySQL, Oracle SQL, and Microsoft Azure, and I have hands-on experience with quantitative and qualitative analytics. My goal is to continue building my expertise in engineering solutions and developing robust ML models that drive innovation and efficiency.I am eager to continue my career as a Data Scientist or Data Analyst, where I can leverage my skills in Python, machine learning, predictive analysis, and quantitative and qualitative analytics. I am particularly interested in opportunities that allow me to build and optimize ML models, drive data-driven decision-making, and contribute to innovative solutions in a dynamic environment.