Swetha Reddy Dudekunta

DATA SCIENTIST

Motivated student with strong communication skills seeks entry-level data scientist role. As a determined individual, I have conceptualized, formulated, and spearheaded innovative projects, demonstrating strong initiative and problem-solving skills. With a proactive mindset, I have initiated and managed data-driven initiatives, delivering impactful results and contributing to organizational success.

1.Stock Market Price Prediction Project: Developed Python-based machine learning models for stock market price predictions, optimizing data preprocessing and model performance.
Demonstrated proficiency in Python, scikit-learn, and pandas for informed investment decision-making.
2.Loan Approval Prediction Project: Implemented Python-based machine learning algorithms for accurate loan approval predictions, emphasizing data preprocessing and optimization.
Showcased expertise in Python and machine learning techniques to enhance loan approval processes and risk assessment strategies.
3.Credit Card Fraud Detection Project: Developed Python-based machine learning models to detect credit card fraud, focusing on effective data preprocessing and model evaluation.
Demonstrated proficiency in fraud detection techniques and Python programming, ensuring security for financial transactions.
4.Customer Churn Prediction Project: Utilized Python-based machine learning models to predict customer churn, emphasizing data analysis and actionable insights.
Demonstrated proficiency in Python, scikit-learn, and pandas to improve customer retention strategies and business performance.

• "Please feel free to review my GitHub profile for detailed information on the projects mentioned above, showcasing my practical skills and expertise."

ADDITIONAL INFORMATION:Completed IBM Data Science course on Coursera, demonstrating proficiency in Python and R for data analysis, machine learning, and visualization, utilizing diverse data science tools. Applied statistical techniques to derive insights from real-world datasets, eager to contribute to data-driven projects and advance career in data science.