I am a Post-Doctoral Researcher experienced in location-based data analysis, quantitative methods, and converting insights into actionable recommendations. My background in criminology, offender decision-making, and spatial analytics seamlessly adapts to real estate research, especially where market trends, property location data, and economic indicators intersect. Transitioning from a dynamic academic research environment, I bring strong analytical problem-solving and innovative project management skills. Through both collaborative and independent research, I’ve honed data analysis and critical thinking abilities, which I now aim to leverage in the commercial real estate domain to create measurable impact.
In this role, I conduct advanced quantitative and spatial analyses to study offender behavior, leveraging techniques directly applicable to real estate site selection and market analysis. Collaborating with interdisciplinary teams, I generate data-driven insights and policy recommendations. I also present findings to academic and non-academic audiences, refining my ability to communicate complex analyses effectively through clear storytelling.
I lectured on community-oriented topics with a strong emphasis on data-driven decision-making, adopting a student-centric teaching approach. I focused on fostering critical thinking and problem-solving skills, enabling students to bridge theoretical knowledge with practical application and supporting their academic and personal growth.
As a lecturer, I developed and delivered curriculum on research methodology, spatial analysis, and quantitative methods. I also mentored postgraduate and M.Phil. students in research design, further strengthening my leadership and advisory skills while fostering critical thinking and methodological rigor.
I managed field research projects across diverse regions, designing questionnaires, collecting socio-economic data, and analyzing the results to inform policy outcomes. This role required adaptability and efficiency in fast-paced, data-intensive environments, ensuring high-quality research deliverables with significant policy implications.