Neha Reddy Email & Phone Number

Charlotte, NC, US

Texas, United States

• Optimized clinical outcomes across 5 key service lines (Cardiology, Oncology, Orthopedics, Neurology, and Emergency Medicine) at 15 HCA Healthcare facilities.
• Leveraged advanced SQL queries in Teradata and Google Cloud Platform to extract and model data from 20+ disparate databases, processing over 1.5 million patient records daily.
• Developed a comprehensive data pipeline using Python, automating 80% of data extraction, cleaning, and preprocessing tasks, reducing manual effort by 40… Show more
• Developed a comprehensive data pipeline using Python, automating 80% of data extraction, cleaning, and preprocessing tasks, reducing manual effort by 40 hours per week. Aggregated and analyzed data from internal HCA.
• Created a suite of 10 interactive Tableau dashboards and 5 Power BI reports, reducing report generation time from 5 days to 6 hours and improving real-time decision-making for clinical leadership.
• Conducted in-depth statistical analysis using R, identifying factors contributing to a 12% reduction in 30-day readmission rates across participating facilities.

Dallas, Texas, United States

• Utilized SQL queries to extract and analyze data from PeopleSoft HR and Financial modules for various projects.
• Developed and maintained PS Queries to generate custom reports and extract data from PeopleSoft databases.
• Played a key role as an intern in the integration process between UT System's ERP systems and BenefitFocus, a benefits administration vendor.
• Facilitated the transfer of employee, dependent, and retiree data for over 300,000 staff and a million students across… Show more
• Facilitated the transfer of employee, dependent, and retiree data for over 300,000 staff and a million students across Texas. Responsible for mapping data elements from ERP systems to the vendor's system for both.
• Collaborated with cross-functional teams to identify and address data discrepancies and errors, contributing to seamless data transmission and processing. Show less

Dallas, Texas, United States

• Supported graduate students in Business Data Warehousing and Organization for Business Analytics, offering guidance on data management and ETL processes.
• Conducted over 10 workshops on SAP Analytics for data visualization and enterprise reporting, enabling students to build professional-level dashboards.
• Delivered hands-on training sessions in Microsoft Azure for data storage and analytics, enhancing student proficiency with cloud-based data solutions.
• Developed course… Show more
• Developed course materials, including assignments and projects focused on real-world applications of data warehousing and analytics in business contexts.
• Provided one-on-one tutoring to help students apply SQL, data modeling, and transformation techniques to solve complex business problems.

India

• Developed a real-time financial dashboard using Power BI, reducing reporting time by 75% and enabling immediate decision-making for Csuite executives. Designed and maintained a SQL database for real-time transaction.
• Leveraged pandas and NumPy to process 1M+ daily financial transactions, reducing data preparation time by 60%.
• Applied association rule mining to analyze 10M+ customer transactions, uncovering cross-selling opportunities that increased… Show more
• Applied association rule mining to analyze 10M+ customer transactions, uncovering cross-selling opportunities that increased revenue.
• Utilized machine learning algorithms to analyze high-frequency trading data, identifying profitable patterns that increased daily trading revenue. Created predictive models using Python and scikit-learn to forecast.
• Developed a suite of 20+ financial KPIs, providing real-time performance insights that led to a 10% improvement in operational efficiency.

India

• Conducted Exploratory Data Analysis (EDA) and data cleaning processes to prepare the dataset for analysis and visualized using Seaborn for correlation plots to identify influential features affecting household power.
• Employed Principal Component Analysis (PCA) to identify and understand the principal components, enhancing model interpretability and applied linear regression using standard train-test split to build a predictive.
• Employed Principal Component Analysis (PCA) to identify and understand the principal components, enhancing model interpretability and applied linear regression using standard train-test split to build a predictive.
• Leveraged IBM Watson Studio for model building, resulting in a 15% reduction in energy consumption prediction errors when using metrics like MSE, MAE. Also developed and deployed a Flask-based web application on IBM.

Graduate Certificate, Applied Machine Learning, 4

Master'S Degree, Business Analytics And Data Science

Bachelor'S Degree