Jagruthi Kanuganti

Working on cutting edge technologies like fine tuning fundamental models by connecting data sources to LLMs using RAG and vector databases. Integrate these AI models with other tools like BI publisher using A2A and MCP protocols.

Worked with data using Python, R, and SQL to clean, analyze, and prepare datasets for projects. Helped build basic machine learning models and performed statistical analysis to find patterns and insights. Created simple dashboards and charts using Tableau and Power BI to share results with the team.

Assisted in teaching Python for Data Science by guiding students through coding exercises and explaining complex concepts. Provided one-on-one support to students, helping them troubleshoot issues and improve their understanding of data science methodologies.

Analyzed clinical variables affecting lung cancer survival using machine learning and statistical models. Built predictive models with regression, decision trees, and survival analysis. Used Python and R for data processing and analysis. Worked with large medical datasets and presented insights to support treatment strategies.

Extracted, cleaned, and analyzed financial data using Python and SQL for pricing analysis. Built predictive models to forecast trends and measure pricing impacts. Created dashboards in Tableau and reports in PowerPoint. Performed EDA to identify pricing factors and collaborated with teams to implement models and optimize revenue.

Built and optimized machine learning models for predictive analytics, focusing on feature engineering and data preprocessing. Used SQL and Python to manage and query structured datasets. Created dynamic Tableau dashboards to visualize trends and support marketing strategies, product decisions, and business insights.

Grade: 4.0

Graduated with a 4.0 GPA, specialized in Data Science and Machine Learning. Completed projects in predictive analytics, survival analysis, and data visualization. Earned certifications in Python, IBM Data Science, and AWS Data Engineering. Experienced in Python, R, SQL, Tableau, and cloud tools for real-world data projects.

Grade: 4/4

Activities and societies: Teaching Assistant, Research Assistant

Pursued a Master of Science in Applied Statistics and Data Science, achieving a perfect CGPA of 4/4. Coursework included Machine Learning with Applications, Data Mining, Deep Learning, and Statistical Theory and Applications. Gained expertise in Principles of Data Science, Statistical and Scientific Computing, and Information Visualization.