Tejaswini Sengaonkar

Data Scientist and Software Engineer with experience in machine learning, predictive modeling, and data analytics. I specialize in turning raw data into clear insights and practical solutions using Python, SQL, and Power BI.

I have built real-world projects including fraud detection systems, loan risk prediction models, and revenue optimization models using machine learning techniques such as Random Forest and XGBoost. I also have experience in data cleaning, ETL workflows, and cloud tools like Azure and Docker.

I help clients with:

1. Data analysis and visualization (Power BI, Excel, dashboards)

2. Machine learning models for prediction and classification

3. Data cleaning and preprocessing

4. SQL queries and reporting automation

5. Building simple AI/ML prototypes and tools

I focus on delivering clear, actionable results that support business decisions.