SIFAT NASEEM

• Supporting research project on Improved Fracture Risk Predictions through Detection of Low Bone Mass based on Opportunistic screenings of Existing Knee Radiographs for Density Modelling
• Performing image annotation with help of MITK software.

• In Applied Computing Department for course SAT5131, System Analysis, and Design
• Grading student's assignments and projects
• Helping students on projects related to remote patient monitoring using the Care Convene application.

•Used advanced Excel to clean and organize student raw data of 12,000 data points.
• Analyzed data to identify trends and patterns, facilitating data-driven decisions. Created and presented comprehensive dashboards using Web focus software.

• Ensured data accuracy, completeness, and consistency through rigorous audits and quality checks, reducing errors by 25%.

• Developed customized reports, summarizing and presenting data in avisually appealing format.

• Collected and analyzed clinical data to identify COVID-related trends and healthcare utilization to identify areas of improvement
• Gathered and compiled accurate and complete healthcare data from various sources such as EHRs, and registries
• Involvement in managing COVID-related data entry portal of almost 100 patients per day and creating reports for ICMR (Indian Council of Medical Research)
• Resolved data discrepancies or anomalies in collaboration with relevant teams up to 80%.

• Conducted thorough measurements of vital signs, including blood pressure and other essential metrics, ensuring accurate patient monitoring and timely interventions.
• Played an integral role in COVID testing including procedures, assisting healthcare professionals in administering tests, and contributing to accurate identification and diagnosis of cases