09/11/2025 updated
100 % available
Machine Learning Engineer & Data Analyst with Tableau Visualization Expertise
CLEMMONS, USA
Only remote
Bachelors of Science in Biological Sciences, Cornell UniversityData AnalysisAutomationBusiness EfficiencyMedical RecordsComputer ProgrammingExtract Transform Load (ETL)Data ManagementData VisualizationR (Programming Language)Health CarePython (Programming Language)Machine LearningMaintenanceNumPyVisualization
Machine Learning & Deep Learning
Advanced expertise in machine learning models, deep learning concepts, and data science processes including TensorFlow, Keras, and classical ML/DL approaches like Transformers, RNNs, CNNs, GNNs, and Gradient Boosting.
Data Visualization & Tableau Development
Extensive experience in creating and maintaining Tableau dashboards, data visualization techniques, and implementing data-driven decision-making solutions across organizations.
Programming & Data Management
Proficiency in Python, R, SQL, and various libraries including NumPy, Pandas, PyTorch, and Scikit-Learn for complex data analysis, ETL processes, and automation of reporting systems.
Data Wrangling & Cleaning
Expertise in data preparation, transformation, and cleaning techniques to ensure high-quality datasets for analysis and machine learning applications.
ML Pipeline Development
Knowledge in building end-to-end machine learning pipelines and MLOps practices for efficient model deployment and maintenance.
Feature Engineering
Skills in creating and selecting optimal features from raw data to improve machine learning model performance.
Healthcare Data Analysis
Specialized experience in analyzing healthcare and pharmaceutical data to improve patient outcomes and operational efficiency.
Advanced expertise in machine learning models, deep learning concepts, and data science processes including TensorFlow, Keras, and classical ML/DL approaches like Transformers, RNNs, CNNs, GNNs, and Gradient Boosting.
Data Visualization & Tableau Development
Extensive experience in creating and maintaining Tableau dashboards, data visualization techniques, and implementing data-driven decision-making solutions across organizations.
Programming & Data Management
Proficiency in Python, R, SQL, and various libraries including NumPy, Pandas, PyTorch, and Scikit-Learn for complex data analysis, ETL processes, and automation of reporting systems.
Data Wrangling & Cleaning
Expertise in data preparation, transformation, and cleaning techniques to ensure high-quality datasets for analysis and machine learning applications.
ML Pipeline Development
Knowledge in building end-to-end machine learning pipelines and MLOps practices for efficient model deployment and maintenance.
Feature Engineering
Skills in creating and selecting optimal features from raw data to improve machine learning model performance.
Healthcare Data Analysis
Specialized experience in analyzing healthcare and pharmaceutical data to improve patient outcomes and operational efficiency.
Experience
Professional experience0 - 5 years
Freelancer since2022
Languages
EnglishNative speaker
Project history
Lead development and maintenance of critical Tableau dashboards, develop data warehouse in Microsoft Azure, execute comprehensive data pulls and analysis, and participate in strategic planning for data literacy initiatives.
Â
Â
- Spearhead the development and maintenance of critical Tableau dashboards, significantly improving reporting efficiency and data-driven decision-making across the organization.
- Develop and maintain a data warehouse (RRFF Data Warehouse) in Microsoft Azure for the organization and storage of sensitive data
- Execute comprehensive data pulls, cleaning, and analysis, leading to the successful automation of reports and support for CCW, enhancing operational effectiveness.
- Drive the visualization and interpretation of data through the creation of engaging and informative dashboards, fostering a deeper understanding and utilization of data among stakeholders.
- Participate in the strategic planning and execution of projects, including the deployment of new dashboards and the automation of data processes, aligning with the organization's vision for efficiency and data literacy.
- Collaborate with staff and external agencies to increase data literacy, contributing to the organization's goal of transforming data into actionable insights for program improvement.
Developed complex SQL scripts and stored procedures for ETL processes, managed healthcare data including claims and pharmaceutical information, and contributed to app feature development for Qualitrac.
Â
Â
- Developed complex SQL scripts and stored procedures to enhance the quality control of incoming patient data, supporting the ETL process with SSIS for efficient data transformation.
- Managed data by creating tables and views for claims, insurance, and pharmaceutical data, ensuring high standards of data management including updates and removals.
- Contributed to the development of future app features for Qualitrac and designed online assessments based on client-provided templates.
Developed SQL scripts for data management, utilized Python, Keras, and TensorFlow for healthcare data analysis, cleaned datasets, and created documentation for data migration processes.
Â
Â
- Developed and maintained SQL scripts, enhancing data management and optimization practices.
- Utilized Python, Keras, and TensorFlow for healthcare data analysis, contributing to patient outcome improvement projects through advanced data analytics and machine learning models.
- Clean patient assessments healthcare datasets using Python
- Assist in loading cleaned data to SQL Server Staging database for loading into CMS system
- Explore trends in the population to improve patient outcomes
- Perform all data conversion, validation activities, and tasks (data mapping activities) necessary to assure the data is imported properly
- Analyze business data to estimate/benchmark time needed for data transformation and loading
- Develop, test, execute and document repeatable processes to migrate data into a new system
- Analyze data in a variety of formats (databases, flat files, Excel, csv)
- Responsible for creation and version control of certain project documents, such as data mapping
- Artifact Management – Generate data mapping documentation
- Document issues concerning data quality with regards to business requirements and processes
- Assist the team with writing, editing, updating technical documentation to facilitate the goal of streamlining and documenting the conversion/migration processes
- Develop and maintain SQL scripts for creation of tables, stored procedures, and views
- Create adhoc detailed and summary reports