DIVYA SREE KARIVEDA

Business and Data Analyst with a Master’s in Data Science, specializing in SQL, Tableau, and advanced Excel. Proven ability to analyze large datasets and derive actionable business insights that enhance operational efficiency. Expert in developing automated reporting solutions and predictive models, along with implementing ETL pipelines. Aiming to apply analytical skills to support data-driven decisions within Amazon Freight’s LTL business.

Stock Price Prediction Using Hybrid Combination of ML Models, Tested and assessed various predictive models for forecasting and stock price prediction, like ARIMA for time series, SVM for machine learning, LSTM, and RNN for deep learning. Analysis of US Election Results by County, Led a comprehensive data analysis of US election results on a county level to gain insights into voting patterns, and trends. Sentiment Analysis for National Image Evaluation, Developed a robust sentiment classification model to assess public sentiment by implementing an ensemble learning method by combining predictions from multiple classifiers. HR Analytics with Power BI, Led the development of HR Insights, a comprehensive workforce analytics dashboard by creating interactive visualizations using Power BI. Business Analytics Dashboard, Developed a comprehensive business intelligence dashboard using Tableau and Excel. Analyzed large-scale operational data using SQL queries and statistical methods. Created an automated reporting system reducing manual effort by 50%. Predictive Analytics for Business Metrics, Built predictive models using Python and SQL for business forecasting. Implemented ETL pipelines for data processing and analysis. Created interactive visualizations using Tableau for stakeholder presentations.