Monika Vurigity

Highly motivated and detail-oriented Data Analyst with a Master’s degree in Data Science, and a solid academic foundation in statistics, machine learning, and data modeling. Proficient in data extraction, analysis, and visualization using tools such as Python, SQL, Excel, and Tableau. Adept at transforming complex data into meaningful insights to support data-driven decision-making. Demonstrates strong problem-solving skills, a collaborative mindset, and a commitment to continuous learning. Seeking to contribute analytical expertise and a results-oriented approach in a forward-thinking organization.

Social Media Network Analysis – Sentiment Analysis - Prediction about the wining party in Chisholm electorate by using Social Media Network Analytics., Predictive Analysis - Worked on a company's Human Resource data for Data modelling and Prediction., ETL - Worked on different data Scrapping, pre-processing and Manipulation Techniques., Customer Segmentation - Application of Linear Regression using Bayesian Statistics in Python for prediction of sales data., Exploratory Data Analysis - Participation in ANZ Datathon to analyse Melbourne Public transport data.