Lavanya Dontheboina

Data Science–focused Computer Science graduate with hands-on experience in data cleaning, exploratory data analysis, feature engineering, and predictive modeling. Proficient in Python, SQL, and data visualization tools, with applied experience in machine learning, time-series forecasting, and real-world datasets. Strong foundation in statistical analysis, reporting, and data-driven decision making

· AWS Certified Cloud Practitioner

· AWS Certificate Developer- Associate

· Red Hat Certified Enterprise Application Developer (EX-183)

· Oracle Associate

Salary Prediction Using Linear Regression

· Analyzed a structured salary dataset by performing data cleaning, feature selection, and exploratory data analysis

· Built a linear regression model to predict salary based on factors such as experience, education, and relevant attributes.

· Applied statistical techniques including correlation analysis and hypothesis testing to understand variable relationship

· Evaluated model performance using R², Mean Absolute Error, and residual analysis

· Visualized trends, model fit, and predictions using plots to support data-driven insights

· Interpreted regression coefficients and statistical outputs to explain the impact of variables on salary

Time Series Forecasting on climate data

· Analyzed historical climate time-series data to identify trends, seasonality, and temporal patterns

· Performed data preprocessing including handling missing values, smoothing and time-based aggregation

· Built forecasting models using statistical and regression-based approaches to predict future climate indicators

· Created clear time series visualizations to communicate long-term trends and forecast results

· Evaluated models using MAE and RMSE and visualized forecasts to support data-driven insights.