I am a skilled professional with over 5 years' experience in data management. I aspire to be a resourceful data scientist and grow my skills in data analysis so as to enhance my technical and analytical skills, expand my…
I am a skilled professional with over 5 years' experience in data management. I aspire to be a resourceful data scientist and grow my skills in data analysis so as to enhance my technical and analytical skills, expand my domain knowledge, and improve my communication skills to provide valuable insights and recommendations to respective clients and stakeholders . Additionally, I aim to progress into a leadership or management role where I can mentor and manage other data analysts, oversee data analytics projects, and contribute to organizational strategy and decision-making while continuing to learn and grow both personally and professionally.
• Utilize advanced statistical and data analysis techniques for
deeper insights into HIV/AID and Covid 19 data, including
predictive modeling, clustering, and natural language processing.
• Use data mining algorithms to uncover patterns, associations, and
trends in large healthcare datasets.
• Developing predictive models for patient outcomes, disease
progression, and healthcare utilization.
• Developing performance metrics and KPIs to evaluate healthcare
delivery.
• Ensure robust data governance for data integrity, privacy, security,
and regulatory compliance.
• Evaluate, implement, and integrate healthcare IT systems to
streamline data processes.
• Create impactful data visualizations and dashboards to
communicate insights, fostering data-driven decision-making and
organizational alignment..
• Partner with senior leadership and decision-makers to develop
data-driven strategies, initiatives, and policies that address key
challenges and opportunities in healthcare delivery.
Utilize advanced statistical and data analysis techniques for deeper insights into HIV/AID and Covid 19 data, including predictive modeling, clustering, and natural language processing.
Use data mining algorithms to uncover patterns, associations, and trends in large healthcare datasets.
Develop predictive models for patient outcomes, disease progression, and healthcare utilization.
Develop performance metrics and KPIs to evaluate healthcare delivery.
Ensure robust data governance for data integrity, privacy, security, and regulatory compliance.
Evaluate, implement, and integrate healthcare IT systems to streamline data processes.
Create impactful data visualizations and dashboards to communicate insights, fostering data-driven decision-making and organizational alignment.
Partner with senior leadership and decision-makers to develop data-driven strategies, initiatives, and policies that address key challenges and opportunities in healthcare delivery.
Participated on the inception Meeting with project managers and a review of key background documents and existing data collection tools.
Detailed inception report including detailed draft methodology and sampling approach for quantitative data collection, quantitative and qualitative tools.
Finalized in agreement with the program teams data collection tools.
Pre-testing of data collection tools.
Data collection at the sampled County testing labs using ODK.
Ensured that data integrity and minimized errors in data collection and transmission.
Entering data into the database accurately and efficiently, ensuring that it is correctly formatted and free of errors.
Cleaning and managing data, including tasks such as deduplication, standardization, and normalization, to ensure that it is consistent and accurate.
Data analysis with R, Python or STATA and presenting findings inform of tables, graphs and charts to visualize data.
Develop and implement databases, data collection systems, data analytics and other support strategies.
Data presentation and reports writing to initiate proper presentation of as per client’s objectives using Power BI and Tableau.
Database management by organizing data on databases, database design, data indexing, and data archiving.
Proper Documentation and record-keeping by creating and maintaining documentation and records related to data management, including data dictionaries, data flow diagrams, and data lineage records.
Quality control through data quality control checks on data to ensure accuracy and consistency, and for identifying and resolving any issues that arise.
Collaborating with colleagues from other departments to ensure that data management processes meet their needs.
Periodic data reconstruction and computerization of patient information from files, registers and other reporting tools.
Conducted primary data extraction from patient’s files and patient tracking logs.
Extracted data from databases for comparisons with the primary data.
Collaborated with department leadership and faculty in the provision, analysis, interpretation and.
Data validation, with timely and correctly uploading appropriate facility data into the IQCARE, DHIS2 and the NASCOP databases.
Provided oversight to management on integrity and quality of data through Patient Safety.
Wrote and submitted reports and presentation.
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