Meghana Dusi

Dynamic and results-driven professional with advanced training in data analysis from CTTC, proficient in Python and SQL. Demonstrated strong analytical and communication skills while gaining hands-on experience in telemetry systems at DRDO. Adept at leveraging data visualization tools like Tableau to drive insights and support decision-making.

Data Cleaning, Outlier Detection and Removal, Python, Developed a quantile Regression-based machine learning model for outlier detection by applying a window size. Explored various statistical and model-based algorithms to identify the most suitable approach. Upon outlier detection, they were masked facilitating access to valuable insights. Rainfall Prediction, Python, Excel, Studied the monsoon trends and seasonality, transformed the Dataframe improving the efficiency of the machine learning model. Identified and eliminated the outliers to enhance the accuracy of the analysis. Conducted experiments with both random forest and linear regression model to find the best fit for forecasting. Created a weather dashboard using excel dashboard widgets showcasing several trends and patterns, frequency and intensity of rainfall events over the years. Pizza Sales, SQL, Tableau, Extracting insights around customer behavior and sales performance to different pizza types. Developed a dashboard giving out busiest hours and weeks, sales performance based on category and size.

• Listening to music
• Travelling
• Playing Sudoku

• Active Volunteer, National symposium SPECTRUM 2024, EEE Society, VSSUT. Served as an anchor and actively participated in cultural activities.
• Core Member of the Organizing Committee, SPECTRUM 2025