Mohammed Hassen

Mohammed Hassen Email and Phone Number

Data Analyst & Research Professional | Healthcare Analytics | Skilled in SQL, Python, Tableau
Mohammed Hassen's Location
Seattle, Washington, United States, United States
About Mohammed Hassen

With over 4 years of experience in data analysis and data science, I have worked alongside esteemed organizations, including Ethiopian Public Health Institute (EPHI), Institute for Health Metrics and Evaluation (IHME), and the University of Washington. My work is driven by a passion for transforming complex datasets into actionable insights that support public health, improve healthcare efficiency, and contribute to impactful decision-making:🔹Technical Expertise & Achievements: * Skilled in using tools like Tableau, Power BI, R, SQL, Python, SAS, and RDBMS, I’m experienced in handling extensive health datasets with precision and attention to detail. Improve healthcare efficiency and resource allocation at EPHI, influencing key decisions across public health initiatives. * Experienced in building predictive models and employing algorithms on large-scale health datasets through cloud computing platforms. At IHME, I played a key role in projects focused on identifying disease trends, helping collaborators and policy makers to make proactive and informed decisions. * Adept at bridging the gap between complex data and real-world applications, I’ve worked closely with policymakers, healthcare providers, and interdisciplinary research teams, and this directly influencing health interventions and strategies.I am passionate about using data science not just as a technical skill, but as a tool for meaningful change in any industry that makes a positive impact for humanity. let’s connect. I’m always open to discussing opportunities, exchanging ideas, and exploring how data science can address any challenges.Specialties: Data Analysis | Data Visualization | Machine Learning | Public Health Data | SQL | Python | SAS | Cloud Computing | Health Reporting | Stakeholder Engagement | Predictive Analytics

Mohammed Hassen's Current Company Details

Data Analyst & Research Professional | Healthcare Analytics | Skilled in SQL, Python, Tableau
Mohammed Hassen Work Experience Details
  • Institute For Health Metrics And Evaluation
    Research Assistant (Data Analyst)
    Institute For Health Metrics And Evaluation Oct 2022 - Sep 2023
    Seattle, Washington, Us
    * Data Formatting, pre-processing, and preparation for modeling* Writing Scientific research papers* Conducted statistical analysis and data visualization to uncover trends in health data.• Formatted and processed large datasets using Python coding on cluster infrastructure.• Generated actionable insights and made recommendations based on data analysis.• Authored reports on data sources and contributed to research publications.
  • Ethiopian Public Health Institute
    Research Data Specialist
    Ethiopian Public Health Institute Dec 2019 - Oct 2022
    Addis Ababa, Et
    Key Activities and Achievements-----------------------------------Key Activities:• Developing predictive models and algorithms in Machine learning for health data based on key health indicators• Applying health data analytics, data science, and Data mining using various programming languages such as SQL, MySQL, Oracle, R, Python, SQL, or other coding languagesAchievements:• Develop Integrated Indirect Mortality Estimates (IME) and Direct Mortality Estimations (DME) based on incomplete and complete Birth History data for under-five child mortality in Ethiopia, 1990-2022• Finding risk factors and causes of death for national and subnational under-five children with the prediction of the probability of dying children in Ethiopia using a machine learning-based algorithm• Exploratory Data Analysis(EDA) and Inference of child and maternal health indicators, including acute respiratory infections, fever, birth weight, age at first birth, fertility preference, and other health indicators• Estimating the Trend of fertility rate and Non-Communicable Disease(NCD) in Ethiopia, 2000-2019• Data cleaning and accuracy control for Covid 19 data base, and real-time projection analysis results for the platform (Routine task)• Finding the characteristics of Covid 19 at the national and sub-national levels and performing a survival analysis• Performed due diligence on PyEHealth automated data analysis tools/libraries development projects.• Coding Importance weight adjustment for survey algorithm in python. It's a Conditional Data Structure Algorithm and included in the libraries - Unique for python • Work along with the Ministry of Health (MOH) and Ethiopian Health Insurance Service specialists on Investigating Emergency and Injury and decrease mortality rate to Facilitate Hospitals in most ranked the disease • Real-time EDA presentations for the most urgently needed care for patients to provide insurance for health experts to discussion

Mohammed Hassen Education Details

  • University Of Washington
    University Of Washington
    Health Matrices Science (Major: Data Science)
  • Addis Ababa University
    Addis Ababa University
    Computational Data Science
  • Woldia University
    Woldia University
    Statistics
  • Admas University - Addis Ababa
    Admas University - Addis Ababa
    Accounting And Finance

Frequently Asked Questions about Mohammed Hassen

What is Mohammed Hassen's role at the current company?

Mohammed Hassen's current role is Data Analyst & Research Professional | Healthcare Analytics | Skilled in SQL, Python, Tableau.

What schools did Mohammed Hassen attend?

Mohammed Hassen attended University Of Washington, Addis Ababa University, Woldia University, Admas University - Addis Ababa.

Free Chrome Extension

Find emails, phones & company data instantly

Find verified emails from LinkedIn profiles
Get direct phone numbers & mobile contacts
Access company data & employee information
Works directly on LinkedIn - no copy/paste needed
Get Chrome Extension - Free

Aero Online

Your AI prospecting assistant

Download 750 million emails and 100 million phone numbers

Access emails and phone numbers of over 750 million business users. Instantly download verified profiles using 20+ filters, including location, job title, company, function, and industry.