ROOPU VARDHAN DIRISALA

Results-driven Data Analyst with experience at Metanoia Solutions, leveraging SQL and Python for data cleaning and analysis. Developed impactful dashboards in Tableau, enhancing decision-making and operational efficiency. Proven problem-solver, automating processes to boost workflow efficiency by 40% while collaborating effectively with cross-functional teams to optimize strategies.

Fake news detection, Fake news detection is a multidisciplinary field that includes data analysis, data science, and natural language processing (NLP). I specialize in false news detection projects, including data purification, exploratory analysis, and visualization., Data Collection and Cleaning:, Gathering data from various sources, such as news articles, social media posts, and fact-checking websites., Cleaning and preprocessing the data to remove noise, handle missing values, and standardize formats., Exploratory Data Analysis (EDA):, Analyzing the data to understand distributions, patterns, and relationships., Identifying key features that might help in distinguishing between fake and real news., Feature Engineering:, Creating new features from the raw data that could improve the model’s performance., Examples include word count, sentiment scores, readability scores, and the presence of certain keywords or phrases.