Experienced Software Engineer with nearly 5 years in developing and supporting complex systems in the airline industry, transitioning into Data Science. Recently completed a Master’s degree in [Your Degree, e.g., Data Science, Computer Science], equipped with skills in data analysis, machine learning, and natural language processing. Proven track record in handling large-scale applications, resolving technical issues, and application support. Strong problem-solving skills and a quick learner, with hands-on experience in Agile methodologies and tools such as JIRA and ServiceNow. Seeking to leverage technical background and newly acquired data science skills to deliver data-driven insights and solutions.
TPFSS Project:
Led a comprehensive longitudinal analysis project to examine user interactions and sentiment trends on Twitter using Python. Employed advanced Natural Language Processing (NLP) techniques and machine learning models to analyze a large dataset of tweets. The project focused on identifying patterns in user behavior, tracking the evolution of topics and sentiments over time, and assessing their impact on public discourse. This study provided deep insights into how discussions on the platform evolve and change, highlighting major trends and their influence on societal conversations.
Projects :
Strong Work Ethic