About Me
Embark on a journey through my diverse professional landscape in New York City, where I bring over 10 years of expertise as a data analyst, international researcher, and project manager. My adaptability and dedication to excellence are evident across my varied roles, shaped by my tenure with renowned global organizations. My holistic problem-solving approach is enriched by my leadership and communication abilities, allowing me to navigate complex challenges effectively. My goal is to make a significant, positive impact with every project I tackle. Join me in my mission to innovate and inspire in the realm of data and analysis.
If you require my services for freelance projects or consultancies, feel free to get in touch with me.
Education
PhD in Environmental Dynamics, 2023, University of Arkansas (USA)
MSc in Rural Development, 2019, Ghent University (Belgium), Pisa University (Italy) and Humboldt University of Berlin (Germany)
MSc in Disaster/Climate Change Management, 2014, University of Dhaka (Bangladesh)
BSc, Agriculture, 2012, Bangabandhu Sheikh Mujibur Rahman Agricultural University (Bangladesh)
Experience
Director Research and Evaluation
NYC Mayor’s Office to ENDGBV
07-2023– Present | New York City, NY, USA
Senior Research Assistant
CAST, University of Arkansas
05-2021– 07-2023 | Fayetteville, AR, USA
Graduate Research Assistant
Arkansas State University
01-2020– 05-2021 | Jonesboro, AR, USA
Research, Monitoring, Evaluation and Learning (RMEL) Assistant Manager
Friendship NGO
01-2013– 08-2017 | Dhaka, BGD
Research Country Manager
Premise Data
03-2016– 09-2017 | California, CA, USA
Tools & Software
I’m skilled in a suite of technical software and tools which fortify my analytical prowess. These include:
Data Analysis & Management: Proficient in R-Studio, Python, SPSS, and Power BI for comprehensive data analysis and visualization.
Geospatial Mapping: Expert in using ArcGIS Pro, ArcMap, and Google Earth Engine for detailed geospatial modeling and mapping.
Project Planning: Utilizing Lean Six Sigma, MS Project, Theory of Change, Logical Framework and Monitoring and Evaluation tool kits for efficient project management and planning.
Statistical Computing: R-Studio, Jupyter Notebook and Spyder are my go-tos for statistical computation and machine learning application.
Version Control: Managing code versions and collaborations through GitHub ensures workflow integrity.
Literature Management: Mendeley and Zotero for organizing research references and citations.
Survey Development: Designing and conducting surveys with tools like Qualtrics, SurveyMonkey, Open Data Kit, and Kobo Toolbox.
AI & Machine Learning: Exploring the capabilities of Large Language Models (LLMs) to integrate artificial intelligence into data-driven solutions.