About
Highly analytical Environmental Economist and Data Analyst transitioning into Data Engineering, leveraging a robust foundation in quantitative research, policy evaluation, and sustainability. Adept in R, Python, SQL, and Stata, with proven experience in impact assessments and data-driven reporting. Passionate about applying advanced data engineering principles to solve complex environmental and development challenges, building efficient data pipelines, and integrating cloud technologies.
Work
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Summary
Actively managed community engagement and user support for Binance, driving participation and ensuring seamless onboarding for new users in the Web3 space.
Highlights
Cultivated an active community of 500+ members, increasing overall participation by 20% through strategic engagement initiatives.
Resolved over 20 complex user issues efficiently, demonstrating strong problem-solving skills and earning promotion to official Binance Angel within 3 months.
Guided the successful onboarding of 25,000+ Telegram users, providing essential support and education on cryptocurrency and Web3 technologies.
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Summary
Led comprehensive environmental data collection and advanced econometric analysis to inform critical government sustainability planning and policy evaluation.
Highlights
Designed and implemented robust environmental survey frameworks, overseeing data collection to ensure accuracy and relevance for policy insights.
Performed sophisticated econometric analysis using Stata and R, generating data-driven insights for critical environmental policy evaluation.
Authored impactful reports and policy briefs, directly utilized by government bodies for strategic sustainability planning and decision-making.
Education
Skills
Data Analysis & Econometrics
R, Python, SQL, Stata, Statistical Modeling, Data Cleaning, Econometrics.
Big Data & Cloud Platforms
Apache Spark, Hadoop, AWS, GCP, Azure, Tableau, Excel, Power BI, ETL Pipelines, Data Visualization, Cloud Integration.