Vani Tadakala Email & Phone Number

Cambridge, Massachusetts, United States

• Review large healthcare datasets for outliers and inconsistencies, conduct routine ad hoc data quality checks on incoming data, ensuring accuracy and integrity.
• Perform quality control checks for reports, data extracts, and dashboards to maintain high data quality standards.
• Convey identified data issues to technical services team members in a clear and concise manner, facilitating efficient problem-solving and solution implementation.
• Manage documentation on data quality checks and procedures in accordance with standards and guidelines, ensuring thorough and organized records.
• Create processes and procedures for identifying and tracking data quality issues and version control, enhancing data quality management practices.
• Support the creation of dynamic data visualizations and reports to improve the quality of incoming and processed data, contributing to improved services, systems, and informed policy decisions.

• Proficient in writing complex SQL queries to extract, analyze, and manipulate data from relational databases.
• Created and maintained database views to provide simplified and efficient access to relevant data for reporting purposes.
• Developed and optimized stored procedures and functions to automate data processing tasks, enhancing overall database performance. Utilized CTEs and temporary tables to store intermediate results.
• Employed subqueries to retrieve nested data sets. Implemented triggers to automate actions based on database events, ensuring data consistency and integrity.
• Responded to ad-hoc data requests from clients, demonstrating flexibility and ability to quickly adapt to analytical needs.
• Designed, developed, tested, and maintained Tableau functional reports based on user requirements.

Wisconsin, United States

• Collected data from Blackbaud Raiser’s Edge, database management and cleaning, descriptive analysis, and visualization of large philanthropy datasets to transform data into valuable insights and actionable knowledge.
• Created stored procedures in SQL to automate the reports required by the clients on regular basis.
• Create functions and written queries in Postgres SQL to automatically generate reports.
• Created views in SQL Server, extracted and transformed the data by writing SQL queries.
• Programmed and built working, dynamic, interactive dashboards and data visualizations to assess, monitor trends, and progress using Qlik Sense. Proficient in load script editors, expressions, set analysis and.

United States

• Implemented SQL queries to extract relevant data from a healthcare database and integrated SQL data extraction seamlessly into subsequent data preprocessing steps within the Python environment.
• Cleaned, and preprocessed raw Electronic Health Record (EHR) data using Python. Addressed missing values, standardizedformats, and handled outliers to ensure high data quality.
• Utilized Python libraries such as NumPy and SciPy for statistical analysis to identify significant predictors in the data.
• Created insightful visualizations using Matplotlib and Seaborn to explore patterns and trends within the data.
• Applied appropriate machine learning algorithms for prediction, including logistic regression, random forests, and gradient boosting. Utilized, Python's scikit-learn library to train predictive models on the.
• Evaluated model performance using metrics like accuracy, precision, recall, and AUC-ROC. Fine-tuned model parameters to optimize predictive capability and ensure robust performance.

Madison, Wisconsin, United States

• Programming large datasets from start to analytic file using SAS programming to create large databases including collecting the clinical data from CRFs, creating, and validating datasets, preparing TLFs.
• Performed careful data cleaning and preparation, including identification of data discrepancies, duplicates, missing values, and outliers. Transferred data into a new format to make it more appropriate for analysis.
• Assisted in the development of SAS Macros and programming codes to ensure standards are up to date and in line with studies and projects requirements.
• Developed, evaluated, and modified the SAS statistical programs for conducting the appropriate data analysis.
• Knowledge of drug development process with experience of analyzing and reporting in phase I, II, III and IV of clinical trial data. Experienced in preparing Tables, Listings, and Figures/Graphs (TLFs/TLGs) in the.
• Used wide variety of SAS functions and procedures including these examples -MACROS-SORT -MERGE -UPDATE -PROC PRINT -PROC SUMMARY -PROC TABULATE -PROC FREQUENCY -PROC TRANSPOSE etc.

Master'S Degree, Medical Informatics, 3.9

Doctor Of Pharmacy - Pharmd, Pharmacy, 3.8

Intermediate, Bipc

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