I specialize in leveraging machine learning, network science, and NLP using Python, R, and MySQL to address complex innovation and business challenges. My experience spans both academia and industry, working with large-scale datasets to extract actionable insights. Key areas of expertise include:- Managing data-driven research in innovation and business strategies- Collaborating with corporate and government stakeholders- Tackling challenges like people networks, market dynamics, and UX optimization- Designing dashboards with Power BI and Tableau- Skilled in experimental design, qualitative research, and communicating findings to diverse audiencesAreas of Expertise:- Machine learning: Experience in utilizing large scale quantitative datasets for solving business, design, and organizational challenges. - Network Science: Experience in analyzing network behaviors at individual, dyad, and group levels, including link prediction, community detection, measures, relational event modeling (REM), stochastic network modeling for pattern analysis and, network visualization- Natural Language Processing (NLP): Skilled in text extraction and preprocessing, entity recognition, static and dynamic topic modeling, sentiment analysis, text clustering, classification models, and deploying local LLMs using APIs. Experience with Graph Neural Networks and GraphSAGE for precise document classification. I am driven by a passion for turning complex data into strategic insights that drive innovation. I am actively seeking opportunities in researcher roles , where I can leverage my technical expertise to solve intricate business problems