Saketh Balaji Maddineni

Highly motivated and reliable professional with a proven track record of delivering exceptional results. Demonstrated ability to thrive in fast-paced environments and effectively manage tasks with precision and efficiency. Strong problem-solving and critical thinking skills, coupled with excellent attention to detail. Exceptional communication and interpersonal abilities, fostering productive relationships with colleagues and clients. A dedicated pro-active team player with a strong work ethic, adaptability, and a positive attitude.

• Sentiment Analysis of Reddit Data and News Articles On Climate Change
  This project seeks to explore how climate change-related events are discussed on Reddit, a community-driven platform, versus traditional news platforms, which often hold political and regional biases. Through sentiment analysis and comparative studies across four different periods (2016, 2020, 2021, and 2022) during which, a great debate regarding climate change happened in recent past.
  Git Hub Link: https://github.com/saaketh999/Masters-Desertation/
• News Analysis through Topic Modeling and Visualization: Identifying the Most Common Topics in News Articles
  This research aimed to identify common topics in news articles from various sources using natural language processing (NLP) techniques. Applied automated topic modeling and visualization techniques to a large dataset of news articles collected from different sources.Utilized Latent Dirichlet Allocation (LDA), a probabilistic topic modeling technique, to extract hidden topics from the collection of documents. The results showed that the news articles’ most prevalent topics were politics, finance, sports, international relations, entertainment, and technology.
  GitHub Link:https://github.com/saaketh999/Masters-Projects/tree/main/Topic%20Modeling