Mrs. Swathi Suddala | Information Technology | Women Researcher Award
Data Analyst at SP Teks, Inc, United States
Swathi Suddala is a highly analytical and results-driven Data Scientist with over 8 years of experience in the IT industry. She specializes in delivering innovative, data-driven solutions through Data Science, Machine Learning, and Data Engineering. With hands-on expertise in Python, R, SQL, and tools like Power BI and Tableau, she thrives in transforming complex datasets into strategic insights. Swathi is known for her problem-solving mindset, strong communication skills, and passion for continuous learning, making her a valuable asset across domains such as finance, supply chain, and technology. 🌐📊🧠
Publication Profile
Academic Background
Swathi holds a Master of Science in Information Technology Management from the University of Wisconsin, Milwaukee, USA (2023), and a Master of Technology in Environmental Geomatics from JNTU University, Hyderabad, India (2014). Her academic foundation blends technical, managerial, and environmental perspectives, equipping her with a multidisciplinary approach to problem-solving. She has also contributed significantly to academic research during her postgraduate studies and continued professional development through certifications and technical training. 🎓🧑🎓📚
Professional Background
Swathi has served in various impactful roles across global organizations like Charles Schwab, IT Intellect Micro Solutions, Cred Avenue, and Hoch Technologies. She has designed machine learning models, performed data visualization, implemented CI/CD pipelines, and worked extensively with NLP and LLMs. Her experience spans finance, supply chain, and enterprise IT domains, where she has driven improvements in operations, analytics, and decision-making through data science. She brings strong expertise in Python, SQL, Power BI, Spark, and cloud platforms like AWS and Azure. 🌍👩💻📈
Awards and Honors
Swathi is a Salesforce Data Cloud Consultant Certified professional and has earned recognition for her contributions to academic and applied research. Her work has been published in peer-reviewed journals, reflecting her dedication to advancing knowledge in Data Science and AI. She has led impactful academic and professional projects and consistently received accolades for her innovation and leadership in technology, analytics, and AI research. 🥇📑🎖️
Research Focus
Swathi’s research focuses on leveraging cutting-edge Data Science techniques, including Generative AI, LLMs, and Edge Computing. Her published works explore hybrid ARIMA-LSTM models for demand forecasting, RAG systems for enhancing LLMs, and cloud-native strategies for IoT. Her academic curiosity fuels her drive to explore the intersections of AI, big data, and real-time analytics, enabling smarter, faster, and more scalable systems for industry and research. She thrives at the forefront of innovation, making impactful contributions to the future of intelligent systems. 🧪📈🤖
Publication Top Notes
📄 Enhancing Generative AI Capabilities Through Retrieval-Augmented Generation Systems and LLMs
📅 Year: 2024 |Cited by: 3
📄 Harnessing Cloud Technology for Real-Time Machine Learning in Fraud Detection
📅 Year: 2023 |Cited by: 1
📄 Ethical Challenges and Accountability in Generative AI: Managing Copyright Violations and Misinformation in Responsible AI Systems
📅 Year: 2024
Conclusion
Swathi Suddala stands out as a remarkable candidate for the Research for Women Researcher Award, bringing together over 8 years of rich experience in data science with a strong academic foundation, including dual master’s degrees from the University of Wisconsin, USA, and JNTU, India. Her research contributions span high-impact areas such as Edge Computing, IoT, Hybrid ARIMA-LSTM models, and Retrieval-Augmented Generation systems, published in reputable journals and cited for their relevance and innovation. Professionally, she has delivered real-world solutions in finance, supply chain, and tech industries, showcasing expertise in machine learning, NLP, LLMs, and cloud-based model deployment. With hands-on proficiency in Python, R, Tableau, Power BI, and a consistent track record of impactful projects—from vaccine scheduling to forest fire prediction—Swathi exemplifies the fusion of academic excellence, technological innovation, and applied leadership, making her a highly deserving nominee for this prestigious recognition.