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Clinical Data Specialist

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Over 2+ years of hands-on experience in Machine Learning,Statistical Modeling, Data Analysis, Data Manipulation, and Data Mining, demonstrating proficiency in leveraging these skills for impactful data science projects.
Utilized Google Cloud Platform (GCP) and AWS for cloud infrastructure provisioning, configuration, and management, demonstrating proficiency in leveraging diverse cloud environments to support scalable and resilient applications.
In-depth understanding of a range of machine learning algorithms, encompassing Linear Regression, Logistic Regression, Decision Trees, Supervised Learning, Unsupervised Learning, Classification, Random Forests, Naive Bayes, KNN, K-means, and CNN.
Expertise in using data manipulation and analysis packages such as NumPy, Pandas, Matplotlib, SciPy, Scikit-learn, Seaborn, and TensorFlow, empowering efficient and effective handling of data.
Proficient in designing compelling visualizations using Tableau, Power BI software, and Storyline on both web and desktop platforms. Capable of publishing and presenting dashboards that enhance data-driven decision-making.
Adept in working with various Relational Database Management Systems like MySQL and SQL Server, ensuring seamless integration of data sources for comprehensive analysis.
Utilized Git for version control and collaboration, coupled with advanced data analysis skills in MS Excel, strengthening the ability to manage and document data science projects effectively.


  Microsoft Certified Data Engineer with 8+ years experience wrangling big datasets
  Excellent Client Facing as well as project execution experience
  Worked for over 8 years in Data Warehousing, Data Analytics,Visualization, Modeling and Optimization
Achievements include creating risk engine model to detect fraud and achieved 25% more accuracy
  Eager to build robust databases that lay the groundwork for revealing game-changing insights
  Expert in SQL Server and have extensive work experience in using products like SSIS, SSAS and Power BI as well as implementing Data pipelines
  Outstanding experience in building analytics, visualizations and communicating with the stakeholders



  Over 15 years of experience in healthcare data science and analytics, quality improvement, and process optimization
  8+ years of experience with AI/ML model development and implementation, particularly in healthcare.
  Healthcare AI implementation experience.
  Healthcare data management experience including merging and transforming Big Data and Complex Structured and unstructured datasets
  Technical infrastructure knowledge, including cloud computing platforms
  Proficiency in programming languages (e.g., Python) and machine learning libraries
  Experience with data visualization and reporting tools.
  High value-based care experience and experience analyzing multi carrier health plans.
  Strong clinical background with patient care experience in cardiology and primary care.
  Healthcare Quality Consultant and instructor with extensive quality management experience and Teaching.
  Excellent communication, training, and team collaboration skills
  Proven track record of designing and implementing scalable data pipelines, integrating diverse healthcare datasets (EHR, claims, genomics, etc.), and optimizing clinical workflows. Skilled in utilizing cloud-based tools and services to enhance data accessibility, security, and compliance with healthcare regulations.
  Cloud Solutions: Successfully migrated and managed clinical data infrastructure on AWS, Azure, and GCP, ensuring high availability, security, and scalability of data resources. Expertise in using cloud-native tools like AWS Glue, Azure Data Factory, and GCP Dataflow for ETL processes.
  Data Integration: Spearheaded the integration of complex healthcare datasets across multiple sources, enabling comprehensive analysis and reporting. Utilized modern data integration frameworks and APIs to harmonize and standardize clinical data, improving data quality and usability.
  Clinical Analytics: Developed and deployed machine learning models on cloud platforms to predict patient outcomes, identify high-risk populations, and optimize resource allocation. Leveraged cloud-based ML services to streamline model deployment and monitoring.
  Compliance and Security: Ensured all data integration and cloud operations complied with HIPAA and other relevant healthcare regulations, implementing best practices for data encryption, access control, and auditing.

Insightful Data Scientist recognized for high productivity and efficient task completion. Skilled in machine learning, big data analytics, and statistical modeling to deliver actionable insights. Strong in communication, problem-solving, and teamwork, enabling successful collaboration across departments to drive projects to completion. Strategic professional versed in distilling and analyzing large data sets. Develops and delivers presentations detailing data findings. Articulate and collaborative with expertise in algorithm design and data collection.

Experienced clinical research professional with a strong background in coordinating patient information, laboratory samples, and compliance documents for various clinical trials. Demonstrates exceptional organizational skills, attention to detail, effective planning, and problem-solving abilities. Skilled in recognizing clinical values and abstract data from source documents, utilizing analytical skills to identify data and patient safety issues.

Hasitha Gongura

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Clinical Data Administrator

Data Analyst Volunteer

Dentist Intern

Education

Master’s in Health Information and Technology -

Bachelor of Dental Surgery -

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Clinical Data Administrator

Data Analyst Volunteer

Dentist Intern

Master’s in Health Information and Technology -

Bachelor of Dental Surgery -

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