Leela Sai Rushendra Varma Mudunuri
Orlando
Summary
Motivated Data Science graduate with a Master's degree in Data Science. Strong foundation in machine learning, data mining, and AI, with hands-on experience in developing predictive models. Proficient in Python, SQL, and data analysis tools, with a demonstrated ability to analyze large datasets and generate actionable insights. Passionate about leveraging AI and machine learning to solve real-world challenges, improve decision-making, and optimize strategies.
Overview
3
3
years of professional experience
Work History
Data Analyst
Florida International University
10.2022 - 04.2024
- Developed robust machine learning models to detect fraudulent activities within the medical provider sector using data from the Centers for Medicare and Medicaid Services (CMS)
- Conducted in-depth analysis to identify patterns in fraudulent claims, including trends in procedure and diagnosis codes, provider behavior, and chronic conditions associated with fraud
- Performed advanced feature extraction and normalization techniques to improve model accuracy, including encoding categorical data and optimizing feature selection
- Implemented Logistic Regression, Decision Trees, and Random Forest models to detect fraud, achieving high accuracy and interpretability
- Optimized model parameters using GridSearchCV
- Explored advanced architectures, including Long Short-Term Memory (LSTM) networks and autoencoders, for identifying complex patterns in healthcare data
- Leveraged Python (Pandas, NumPy, Scikit-learn, TensorFlow) and Jupyter Notebooks to create visualizations (scatter plots, bar charts, heatmaps) and extract actionable insights from complex healthcare data
Intern as Data Analyst
Grip Sparks Foundation
06.2021 - 12.2021
- Conducted in-depth research on emerging trends in machine learning and artificial intelligence, applying new techniques to improve model performance and optimize algorithms for real-time decision-making
- Maintained and continuously updated existing machine learning models to reflect changes in customer data and business needs, ensuring models stayed accurate, relevant, and reliable for long-term use
- Analyzed large and complex datasets to uncover hidden patterns and trends in customer behavior, using advanced statistical techniques and machine learning algorithms to predict future customer actions and preferences
- Implemented data visualization tools and techniques to present key findings from machine learning analyses to non-technical stakeholders, enabling data-driven decision-making across marketing, sales, and customer support teams
- Regularly tested and validated machine learning models to ensure robustness and accuracy, using techniques such as cross-validation, hyper parameter tuning, and performance metrics evaluation
Education
Masters - Data Science
Florida International University
Miami, Florida04.2024
Bachelors - Computer Science
Sathyabama University
Chennai, Tamilnadu05.2022
Skills
- SQL
- Python
- Jupyter Notebook
- Power BI
- IICS
- MS Excel
- MySQL
- Oracle
- MongoDB
- Data Cleaning
- Statistics
- Windows
- Data analysis
- Excel functions
- Data visualization and presentations
Timeline
Data Analyst
Florida International University
10.2022 - 04.2024
Intern as Data Analyst
Grip Sparks Foundation
06.2021 - 12.2021
Bachelors - Computer Science
Sathyabama University
Masters - Data Science
Florida International University
Similar Profiles
Richard TairouzRichard Tairouz
Learning Assistant at Florida International UniversityLearning Assistant at Florida International University
Katherin YeroKatherin Yero
Nursing Student at Florida International UniversityNursing Student at Florida International University
Janet DapprichJanet Dapprich
Visiting Professor at Florida International UniversityVisiting Professor at Florida International University