Lucgardy Germain
Holbrook
Summary
Statistician Consultant, Data Scientist, and Monitoring & Evaluation Specialist skilled in data analysis, machine learning, and programming (Python, R, SQL, Excel). Experienced in developing M&E frameworks, USAID reporting, automation, and predictive modeling. Proficient in survey tools, Google APIs, and time series analysis, with a focus on leveraging data for insights and decision-making.
Overview
8
8
years of professional experience
Work History
Monitoring and Evaluation Technical Advisor
Health
Cayes
10.2022 - Current
- Design and Implementation of Monitoring and Evaluation Frameworks: Developed and executed comprehensive M&E frameworks to track and assess program performance and impact.
- Capacity Building: Provided training and support to strengthen the skills and abilities of staff and stakeholders in monitoring and evaluation practices.
- Data-Driven Decision Support: Facilitated the use of data for informed decision-making processes, enhancing program effectiveness and strategic planning.
- Ensuring Program Quality and Accountability: Implemented measures to ensure high standards of quality and accountability in program delivery and outcomes.
- Reporting and Communication: Prepared detailed reports and communicated findings to stakeholders, ensuring transparency and informed decision-making.
- Coordination and Collaboration with Partners: Worked closely with partners and stakeholders to align efforts, share resources, and achieve common goals.
- Task Automation using Python: Automated tasks such as web scraping, data validation, visualizations, and performance dashboards using Python to enhance efficiency and accuracy.
Developed user-friendly dashboards with Power Bi for monitoring of key performance metrics, facilitating informed decision-making across departments.
Monitoring and Evaluation Officer
Caris Foundation International
Canapé Vert, Port-au-Prince
03.2019 - 10.2022
- Developed comprehensive monitoring tools to track project progress and outcomes.
- Conducted regular site visits, ensuring accurate data collection and timely reporting.
- Communicated key findings to decision-makers, influencing strategic direction based on evidence-based analysis.
- High-Frequency Data Reporting (USAID): Managed and ensured timely submission of high-frequency data reports to USAID, maintaining strict adherence to reporting schedules.
- Reporting in USAID Validation Systems (Datim): Utilized USAID’s Datim system for accurate data reporting and validation. Establishment of Data Validation Structures: Developed and implemented robust structures for data validation to ensure data integrity and accuracy.
- Health Indicators Monitoring (Including HIV, PEPFAR): Monitored key health indicators, including those related to HIV and PEPFAR programs, to track and evaluate program performance.
- Development of Monitoring Tools for Various Reporting Periods: Created tools for weekly, monthly, quarterly, and annual reporting to streamline data collection and reporting processes.
- Task Automation using Python: Automated tasks such as web scraping, data validation, visualizations, and performance dashboards using Python to enhance efficiency and accuracy.
- Creation of Data Compilation Scripts: Developed scripts for data compilation to facilitate streamlined data aggregation and analysis.
Statistician Consultant
Inter American Development Bank (IADB)
Route De Bourdon, Port-au-Prince
09.2017 - 12.2017
- Performed data cleaning and data preparation to support high-quality data and catch errors before processing.
- Collaborated with cross-functional teams to identify key performance indicators and establish benchmarks for success.
- Data Processing and Analysis using Excel and R: Conducted comprehensive data processing and performed statistical analyses using Excel and R to support various projects.
- Creation and Use of Gender Indices: Developed and applied gender indices to analyze data from a gender perspective.
- Analytical Reporting: Prepared detailed analysis reports to present findings and insights to stakeholders.
- Development of Logistic Models: Created logistic regression models to analyze and predict outcomes based on various data inputs.
Monitoring and Evaluation Assistant
Dinepa
Pétion-Ville
05.2017 - 08.2017
- Data Processing and Analysis using Excel and R: Conducted thorough data processing and performed statistical analyses using Excel and R to support program monitoring and evaluation activities.
- Link to the report.
Data Entry Clerk
Cedel Haiti
Delmas 73
08.2016 - 09.2016
- Completed data entry tasks with accuracy and efficiency.
- Followed established procedures to enter and process data correctly.
- Organized, sorted, and checked input data against original documents.
Education
MicroMasters of Science - Statistics And Data Science
Massachusetts Institute of Technology
Cambridge, MA05.2023
Bachelor of Science - Statistics
CTPEA (Applied Economy & Planification Center)
Bicentenaire, Port-au-Prince, Haiti09.2016
Skills
- Training and mentoring
- Analytics
- Python
- R
- Google API
- LaTeX
- Time Series Analysis
- Power BI
- CommCare
- Tableau
- SPSS syntax
- Cartography with R
Timeline
Monitoring and Evaluation Technical Advisor
Health
10.2022 - Current
Monitoring and Evaluation Officer
Caris Foundation International
03.2019 - 10.2022
Statistician Consultant
Inter American Development Bank (IADB)
09.2017 - 12.2017
Monitoring and Evaluation Assistant
Dinepa
05.2017 - 08.2017
Data Entry Clerk
Cedel Haiti
08.2016 - 09.2016
MicroMasters of Science - Statistics And Data Science
Massachusetts Institute of Technology
Bachelor of Science - Statistics
CTPEA (Applied Economy & Planification Center)